V59 skills deep scan + dormant detection - 0 -> 5637 (5430 active + 207 dormant) - antigravity 4331, deerflow 936
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WEVAL NonReg / nonreg (push) Has been cancelled
This commit is contained in:
opus
@@ -1,41 +1,232 @@
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{
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"timestamp": "2026-04-17T18:30:01.846690",
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"source": "auto-populator",
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"timestamp": "2026-04-18T00:17:15.989931",
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"source": "auto-populator-v2-fixed-18avr",
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"enterprise_total_agents": 679,
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"docker_total": 19,
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"rooms": {
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"strat": {
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"count": 0,
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"agents": [],
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"active": 0
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"count": 85,
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"agents": [
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"WEVIA Master",
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"CEO",
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"CTO",
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"Finance",
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"WEVAL Manager",
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"WEVIA LIFE",
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"Academy",
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"Analyst 2",
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"Architect",
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"Critic",
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"DeerFlow",
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"Persona-SAP",
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"Planner",
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"Planner 2",
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"Translate",
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"ECC-Planner",
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"Wevalsecurity",
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"Blade",
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"Blade Sentinel",
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"BladeAgent",
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"BladeBrain",
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"BladeMatter",
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"BladeOps",
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"BladePower",
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"BladeSentinel"
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],
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"active": 24,
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"dead": 61
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},
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"infra": {
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"count": 0,
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"agents": [],
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"active": 0
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"count": 304,
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"agents": [
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"WedroidInfra",
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"GuardianScan",
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"GuardScan",
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"SecMonitor",
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"ACT Infra",
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"ACT-Infra",
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"Blade",
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"Blade Sentinel",
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"BladeAgent",
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"BladeBrain",
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"BladeMatter",
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"BladeOps",
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"BladePower",
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"BladeSentinel",
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"BladeTelegram",
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"BladeTelgm",
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"CFManager",
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"CloudCost",
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"CloudFact",
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"CloudFactory",
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"CloudOrch",
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"DevOps",
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"DNSPush",
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"DomainPool",
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"DomainRot"
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],
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"active": 30,
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"dead": 274
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},
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"dev": {
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"count": 0,
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"agents": [],
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"active": 0
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"count": 107,
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"agents": [
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"ImpactAnalyst",
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"QualGate",
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"SpecWriter",
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"WikiScanner",
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"ACT-CoreDev",
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"Blueprint",
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"BrainAnalyze",
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"BrainAutofix",
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"BrainCore",
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"BrainCreative",
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"BrainEngine",
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"BrainNucleus",
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"BrainOrch",
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"Claudemem",
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"ClawCode",
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"Code Reviewer",
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"Code Simplifier",
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"Cog-Codegen",
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"Cog-Debug",
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"Debugger",
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"Debugger 2",
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"Designer",
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"DevForge",
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"ECC-Performance",
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"ECC-Planner"
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],
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"active": 24,
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"dead": 83
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},
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"sec": {
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"count": 0,
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"agents": [],
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"active": 0
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"count": 41,
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"agents": [
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"WikiScanner",
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"Persona CyberAuditor",
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"Rabbit Nuclei",
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"Verifier 2",
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"AEGISApi",
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"ECC-Security",
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"GuardianScan",
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"GuardScan",
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"KeyHacks",
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"Persona-Cyber",
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"SecMonitor",
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"Security",
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"SMTPTest",
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"Strix",
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"Verifier",
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"Wevalsecurity",
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"SentinelVault",
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"Fail2Ban",
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"Vaultwarden",
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"SambaNova",
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"DarkScraper",
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"L99AIScan",
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"NucleiScan",
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"NucleiWeek",
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"SecretScan"
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],
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"active": 6,
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"dead": 35
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},
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"biz": {
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"count": 0,
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"agents": [],
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"active": 0
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"count": 107,
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"agents": [
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"WEVIA Master",
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"CEO",
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"CTO",
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"Finance",
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"WEVAL Manager",
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"ACT-Business",
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"Analyst",
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"Contract",
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"Ethica",
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"Marketing",
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"Proposal",
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"Writer",
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"Academy",
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"Analyst 2",
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"Architect",
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"Critic",
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"DeerFlow",
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"Persona-SAP",
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"Planner",
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"Planner 2",
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"Translate",
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"B2BScripts",
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"EthicaScripts",
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"n8n",
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"n8n-Alert"
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],
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"active": 24,
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"dead": 83
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},
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"ia": {
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"count": 0,
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"agents": [],
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"active": 0
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"count": 151,
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"agents": [
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"SC Brainstorming",
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"DeerFlow",
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"BrainAnalyze",
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"BrainAutofix",
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"BrainCore",
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"BrainCreative",
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"BrainEngine",
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"BrainNucleus",
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"BrainOrch",
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"Cog-Codegen",
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"Cog-Debug",
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"WedroidChain",
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"SC-Brainstorm",
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"BladeBrain",
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"DomainPool",
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"DomainRot",
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"S151-Ollama",
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"Brain",
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"BrainDashb",
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"BrainDrill",
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"BrainReport",
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"iRespMain",
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"Fail2Ban",
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"OllamaS95",
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"Qdrant"
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],
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"active": 31,
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"dead": 120
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},
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"transit": {
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"count": 0,
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"agents": [],
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"active": 0
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"count": 249,
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"agents": [
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"Architect",
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"WikiScanner",
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"CloudFactory",
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"Blacklist",
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"Brain",
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"BrainDashb",
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"BrainDrill",
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"BrainReport",
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"Dashboard",
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"Explorer",
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"Intro",
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"iRespAPI",
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"iRespMain",
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"O365Cmd",
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"O365CmdCtr",
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"OfficeAdmin",
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"OfficeCheck",
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"OfficeChk",
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"OfficeMgmt",
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"Orch",
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"PostMaster",
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"PostmasterM",
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"Prometheus",
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"Reputation",
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"SeedCleaner"
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],
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"active": 22,
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"dead": 227
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}
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}
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}
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@@ -1,12 +1,12 @@
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[18:30:01] === MEETING ROOMS AUTO-POPULATOR ===
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[18:30:01] Enterprise: 0 agents
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[18:30:01] Registry: 11 sections
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[18:30:01] Docker: 19 containers
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[18:30:01] strat: 0 agents (0 active)
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[18:30:01] infra: 0 agents (0 active)
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[18:30:01] dev: 0 agents (0 active)
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[18:30:01] sec: 0 agents (0 active)
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[18:30:01] biz: 0 agents (0 active)
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[18:30:01] ia: 0 agents (0 active)
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[18:30:01] transit: 0 agents (0 active)
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[18:30:01] Output: /var/www/html/api/meeting-rooms-data.json
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[00:17:15] === MEETING ROOMS AUTO-POPULATOR (FIXED 18avr) ===
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[00:17:15] Enterprise: 679 agents
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[00:17:15] Registry: 11 sections
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[00:17:15] Docker: 19 containers
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[00:17:15] strat: 85 agents (24 active)
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[00:17:15] infra: 304 agents (30 active)
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[00:17:15] dev: 107 agents (24 active)
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[00:17:15] sec: 41 agents (6 active)
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[00:17:15] biz: 107 agents (24 active)
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[00:17:15] ia: 151 agents (31 active)
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[00:17:15] transit: 249 agents (22 active)
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[00:17:15] Output: /var/www/html/api/meeting-rooms-data.json
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@@ -344,7 +344,12 @@ case 'skills':
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}
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if ($skip) continue;
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$fname = strtolower($f->getFilename());
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if ($fname === 'skill.md' || $fname === 'readme.md' || $fname === 'index.md' || $fname === 'agent.md') {
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// V59_DORMANT_DETECT - classify active vs dormant
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$active_markers = ['skill.md','readme.md','index.md','agent.md','claude.md'];
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$dormant_markers = ['skill.json','manifest.json','agent.json','plugin.json','package.json'];
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$is_active = in_array($fname, $active_markers);
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$is_dormant = !$is_active && in_array($fname, $dormant_markers);
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if ($is_active || $is_dormant) {
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$dirpath = dirname($path);
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if (isset($seen[$dirpath])) continue;
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$seen[$dirpath] = true;
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@@ -352,9 +357,13 @@ case 'skills':
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$skills[] = [
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'slug' => $col . '/' . $skill_name,
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'name' => $skill_name,
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'collection' => $col
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'collection' => $col,
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'status' => $is_active ? 'active' : 'dormant',
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'marker' => $fname
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];
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$count++;
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if ($is_active) { $total_active = ($total_active ?? 0) + 1; }
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else { $total_dormant = ($total_dormant ?? 0) + 1; }
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}
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}
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} catch (\Throwable $e) { }
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@@ -366,6 +375,8 @@ case 'skills':
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'ok' => true,
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'skills' => $skills,
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'total' => count($skills),
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'active' => $total_active ?? 0,
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'dormant' => $total_dormant ?? 0,
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'collections' => $collections,
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'collections_count' => count($collections),
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'path' => $SKILLS_PUBLIC,
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399
api/oss-discovery.php.GOLD-20260418-001510-pre-v58-deep-scan
Normal file
399
api/oss-discovery.php.GOLD-20260418-001510-pre-v58-deep-scan
Normal file
@@ -0,0 +1,399 @@
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<?php
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error_reporting(0);
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/**
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* WEVAL OSS Discovery & Auto-Integration Module v2.0
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* Discovers, scores, auto-integrates skills/tools into WEVAL architecture
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*
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* ?action=discover — Scan + auto-integrate high-score tools
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* ?action=trending — GitHub trending scored
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* ?action=evaluate — Manual evaluate a tool
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* ?action=integrate — Force integrate a tool
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* ?action=report — Ecosystem report
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* ?action=auto_run — Full cycle: discover + evaluate + integrate + notify
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*/
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header('Content-Type: application/json');
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$KEY = 'WEVADS2026';
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// Public read (report/stats) allowed; auth required for write operations
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$_action = $_GET['action'] ?? 'report';
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$_writeActions = ['discover','evaluate','integrate','auto_run','force_update'];
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if (in_array($_action, $_writeActions) && ($_GET['k'] ?? $_POST['k'] ?? '') !== $KEY) {
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http_response_code(403); die(json_encode(['error'=>'auth']));
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}
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$action = $_GET['action'] ?? 'report';
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$DB_FILE = '/opt/wevads/vault/oss-discovery.json';
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$SKILLS_DIR = '/var/www/html/skills';
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$LOG = '/var/log/oss-discovery.log';
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$TG_BOT = '8544624912';
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$TG_CHAT = '7605775322';
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$OBSIDIAN_API = 'https://weval-consulting.com/api/obsidian-sync-receiver.php';
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if (!is_dir($SKILLS_DIR)) @mkdir($SKILLS_DIR, 0755, true);
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if (!is_dir('/opt/wevads/vault')) @mkdir('/opt/wevads/vault', 0755, true);
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|
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$db = file_exists($DB_FILE) ? json_decode(file_get_contents($DB_FILE), true) : [
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'tools' => [], 'skills_created' => [], 'last_scan' => null,
|
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'total_discovered' => 0, 'total_integrated' => 0, 'total_skills_injected' => 0
|
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];
|
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|
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// ─── NEEDS MATRIX ───
|
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$NEEDS = [
|
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'rag' => ['weight'=>10, 'kw'=>['rag','retrieval','vector','embedding','knowledge-base','semantic-search']],
|
||||
'skill_agent' => ['weight'=>10, 'kw'=>['skill','agent','plugin','hook','mcp','claude-code','subagent','orchestrat']],
|
||||
'scraping' => ['weight'=>9, 'kw'=>['scraper','crawl','extraction','playwright','selenium','browser-use']],
|
||||
'llm_local' => ['weight'=>9, 'kw'=>['ollama','llm','inference','quantize','gguf','local','sovereign','vllm']],
|
||||
'security' => ['weight'=>8, 'kw'=>['security','audit','vulnerability','scan','pentest','nuclei','shield']],
|
||||
'pharma_health' => ['weight'=>8, 'kw'=>['pharma','health','medical','hcp','drug','clinical','healthcare']],
|
||||
'email' => ['weight'=>8, 'kw'=>['email','smtp','deliverability','warmup','bounce','mta','newsletter']],
|
||||
'crm' => ['weight'=>7, 'kw'=>['crm','lead','pipeline','sales','contact','prospect']],
|
||||
'automation' => ['weight'=>7, 'kw'=>['automation','workflow','n8n','cron','pipeline','orchestrat','activepieces']],
|
||||
'analytics' => ['weight'=>6, 'kw'=>['analytics','dashboard','report','metric','tracking','plausible']],
|
||||
'monitoring' => ['weight'=>6, 'kw'=>['monitor','alert','health','uptime','prometheus','grafana']],
|
||||
'code_quality' => ['weight'=>5, 'kw'=>['lint','test','quality','ci','format','coverage','tdd']],
|
||||
'verification' => ['weight'=>9, 'kw'=>['verification','verifier','adversarial','nonreg','regression','audit','assertion']],
|
||||
'prompt_eng' => ['weight'=>9, 'kw'=>['system-prompt','prompt-engineering','prompt-leak','claude-code','instruction','guardrail']],
|
||||
'context_mgmt' => ['weight'=>10, 'kw'=>['context-window','context-compression','token-budget','context-collapse','summarization','compaction']],
|
||||
'moa_ensemble' => ['weight'=>9, 'kw'=>['mixture-of-agents','moa','ensemble','self-moa','multi-agent','coordinator','subagent','swarm']],
|
||||
'spec_decode' => ['weight'=>8, 'kw'=>['speculative-decoding','eagle','medusa','draft-model','spec-decode','lookahead','specforge']],
|
||||
'mem_consol' => ['weight'=>8, 'kw'=>['memory-consolidation','auto-dream','persistent-memory','session-memory','memory-layer','knowledge-graph']],
|
||||
'mcp_protocol' => ['weight'=>9, 'kw'=>['mcp','model-context-protocol','tool-server','mcp-server','function-calling','tool-use']],
|
||||
'vllm_serve' => ['weight'=>10, 'kw'=>['vllm','paged-attention','tensor-parallel','serving','inference-engine','sglang','tgi']],
|
||||
'sovereign_eu' => ['weight'=>9, 'kw'=>['sovereign','gdpr','eu-ai-act','on-premise','self-hosted','data-sovereignty','mistral']],
|
||||
];
|
||||
|
||||
// ─── AUTO-INTEGRATION TARGETS ───
|
||||
$INTEGRATION_MAP = [
|
||||
'skill_agent' => ['target'=>'skill_factory', 'path'=>$SKILLS_DIR, 'server'=>'S204'],
|
||||
'rag' => ['target'=>'qdrant_pipeline', 'path'=>'/opt/weval-rag', 'server'=>'S204'],
|
||||
'security' => ['target'=>'aegis_nuclei', 'path'=>'/var/www/html/api/nuclei-templates', 'server'=>'S204'],
|
||||
'scraping' => ['target'=>'scraper_arsenal', 'path'=>'/opt/wevads-arsenal', 'server'=>'S95'],
|
||||
'llm_local' => ['target'=>'ollama_models', 'path'=>'ollama', 'server'=>'S204'],
|
||||
'pharma_health' => ['target'=>'ethica_tools', 'path'=>'/opt/ethica-tools', 'server'=>'S95'],
|
||||
'email' => ['target'=>'mta_tools', 'path'=>'/opt/wevads/email-tools', 'server'=>'S95'],
|
||||
'automation' => ['target'=>'n8n_workflows', 'path'=>'/opt/n8n-workflows', 'server'=>'S95'],
|
||||
'monitoring' => ['target'=>'monitoring', 'path'=>'/opt/wevads/monitoring', 'server'=>'S204'],
|
||||
'crm' => ['target'=>'crm_extensions', 'path'=>'/opt/crm-tools', 'server'=>'S204'],
|
||||
'analytics' => ['target'=>'analytics', 'path'=>'/opt/analytics-tools', 'server'=>'S204'],
|
||||
'verification' => ['target'=>'verifier_agent', 'path'=>'/opt/deer-flow/backend/packages/harness/deerflow/subagents', 'server'=>'S204'],
|
||||
'prompt_eng' => ['target'=>'prompt_library', 'path'=>'/opt/wevads/vault/prompt-patterns', 'server'=>'S204'],
|
||||
'context_mgmt' => ['target'=>'wcp_patterns', 'path'=>'/var/www/weval/wevia-ia', 'server'=>'S204'],
|
||||
'moa_ensemble' => ['target'=>'wsi_sovereign', 'path'=>'/var/www/weval/wevia-ia', 'server'=>'S204'],
|
||||
'spec_decode' => ['target'=>'vllm_config', 'path'=>'/opt/vllm', 'server'=>'S204'],
|
||||
'mem_consol' => ['target'=>'dream_engine', 'path'=>'/var/www/weval/wevia-ia', 'server'=>'S204'],
|
||||
'mcp_protocol' => ['target'=>'mcp_servers', 'path'=>'/opt/mcp-tools', 'server'=>'S204'],
|
||||
'vllm_serve' => ['target'=>'inference_engine', 'path'=>'/opt/vllm', 'server'=>'S204'],
|
||||
'sovereign_eu' => ['target'=>'sovereign_stack', 'path'=>'/opt/sovereign', 'server'=>'S204'],
|
||||
];
|
||||
|
||||
// ─── HELPERS ───
|
||||
function score_tool($repo, $needs) {
|
||||
$score = 0; $matched = [];
|
||||
$text = strtolower(($repo['name']??'').' '.($repo['description']??'').' '.implode(' ',$repo['topics']??[]));
|
||||
foreach ($needs as $need => $cfg) {
|
||||
foreach ($cfg['kw'] as $kw) {
|
||||
if (strpos($text, $kw) !== false) { $score += $cfg['weight']; $matched[] = $need; break; }
|
||||
}
|
||||
}
|
||||
$stars = $repo['stargazers_count'] ?? 0;
|
||||
if ($stars > 10000) $score += 5; elseif ($stars > 1000) $score += 3; elseif ($stars > 100) $score += 1;
|
||||
$lic = strtolower($repo['license']['spdx_id'] ?? '');
|
||||
if (in_array($lic, ['mit','apache-2.0','bsd-2-clause','bsd-3-clause'])) $score += 2;
|
||||
$lang = strtolower($repo['language'] ?? '');
|
||||
if (in_array($lang, ['python','php','javascript','typescript','shell','go'])) $score += 2;
|
||||
return ['score'=>$score, 'matched_needs'=>array_unique($matched)];
|
||||
}
|
||||
|
||||
function tg_notify($msg) {
|
||||
global $TG_BOT, $TG_CHAT;
|
||||
@file_get_contents("https://api.telegram.org/bot{$TG_BOT}:AAGdBn1f3m0UtnxK7LHhA33fJ1I2VZJPnug/sendMessage?" . http_build_query([
|
||||
'chat_id' => $TG_CHAT, 'text' => $msg, 'parse_mode' => 'HTML'
|
||||
]));
|
||||
}
|
||||
|
||||
function obsidian_push($path, $content) {
|
||||
global $OBSIDIAN_API;
|
||||
$ch = curl_init($OBSIDIAN_API);
|
||||
curl_setopt_array($ch, [
|
||||
CURLOPT_POST => true, CURLOPT_RETURNTRANSFER => true, CURLOPT_SSL_VERIFYPEER => false,
|
||||
CURLOPT_HTTPHEADER => ['Content-Type: application/json'],
|
||||
CURLOPT_POSTFIELDS => json_encode(['action'=>'obsidian_sync','path'=>$path,'content'=>base64_encode($content)])
|
||||
]);
|
||||
curl_exec($ch); curl_close($ch);
|
||||
}
|
||||
|
||||
function create_skill($tool, $needs_matched, $skills_dir) {
|
||||
$slug = preg_replace('/[^a-z0-9-]/', '-', strtolower($tool['name']));
|
||||
$dir = "$skills_dir/$slug";
|
||||
if (is_dir($dir)) return null;
|
||||
@mkdir($dir, 0755, true);
|
||||
|
||||
$needs_str = implode(', ', $needs_matched);
|
||||
$topics_str = implode(', ', array_slice($tool['topics'] ?? [], 0, 8));
|
||||
$desc = $tool['description'] ?? 'No description';
|
||||
|
||||
$skill_md = "# {$tool['name']}\n\n";
|
||||
$skill_md .= "## Source\n- GitHub: {$tool['url']}\n- Stars: {$tool['stars']}\n- Language: {$tool['language']}\n- License: {$tool['license']}\n\n";
|
||||
$skill_md .= "## Description\n{$desc}\n\n";
|
||||
$skill_md .= "## WEVAL Relevance\n- Score: {$tool['score']}\n- Matched needs: {$needs_str}\n- Topics: {$topics_str}\n\n";
|
||||
$skill_md .= "## Integration\n- Status: auto-discovered\n- Target: " . ($GLOBALS['INTEGRATION_MAP'][$needs_matched[0] ?? 'skill_agent']['target'] ?? 'manual') . "\n";
|
||||
$skill_md .= "- Server: " . ($GLOBALS['INTEGRATION_MAP'][$needs_matched[0] ?? 'skill_agent']['server'] ?? 'S204') . "\n\n";
|
||||
$skill_md .= "## Usage\n```\n# Clone and evaluate\ngit clone {$tool['url']}\n# Check README for install instructions\n```\n\n";
|
||||
$skill_md .= "## Triggers\n";
|
||||
foreach ($needs_matched as $n) { $skill_md .= "- $n\n"; }
|
||||
$skill_md .= "\n---\nAuto-discovered: " . date('Y-m-d H:i') . "\n";
|
||||
|
||||
file_put_contents("$dir/SKILL.md", $skill_md);
|
||||
return $slug;
|
||||
}
|
||||
|
||||
function github_fetch($url) {
|
||||
$ctx = stream_context_create(['http' => [
|
||||
'header' => "User-Agent: WEVAL-Discovery/2.0\r\nAccept: application/vnd.github+json\r\n",
|
||||
'timeout' => 15
|
||||
]]);
|
||||
$json = @file_get_contents($url, false, $ctx);
|
||||
return $json ? json_decode($json, true) : null;
|
||||
}
|
||||
|
||||
// ─── SOURCES ───
|
||||
$SOURCES = [
|
||||
'claude_skills' => 'https://api.github.com/search/repositories?q=topic:claude-code+OR+topic:claude-skills+OR+topic:agent-skills&sort=stars&order=desc&per_page=20',
|
||||
'ai_agents' => 'https://api.github.com/search/repositories?q=topic:ai-agents+topic:open-source+language:python&sort=updated&order=desc&per_page=15',
|
||||
'mcp_tools' => 'https://api.github.com/search/repositories?q=topic:mcp+OR+topic:model-context-protocol&sort=stars&order=desc&per_page=15',
|
||||
'rag_tools' => 'https://api.github.com/search/repositories?q=rag+retrieval+augmented+generation+language:python&sort=stars&order=desc&per_page=10',
|
||||
'security_tools'=> 'https://api.github.com/search/repositories?q=security+audit+agent+2026&sort=stars&order=desc&per_page=10',
|
||||
'pharma_ai' => 'https://api.github.com/search/repositories?q=pharma+healthcare+ai+open-source&sort=stars&order=desc&per_page=10',
|
||||
'ollama_tools' => 'https://api.github.com/search/repositories?q=topic:ollama+language:python&sort=updated&order=desc&per_page=10',
|
||||
'system_prompts'=> 'https://api.github.com/search/repositories?q=system+prompt+leak+OR+claude-code+prompt+engineering&sort=stars&order=desc&per_page=15',
|
||||
'verification' => 'https://api.github.com/search/repositories?q=adversarial+testing+OR+verification+agent+OR+regression+testing+ai&sort=stars&order=desc&per_page=10',
|
||||
];
|
||||
|
||||
// ═══════════════════════════════════════════
|
||||
switch ($action) {
|
||||
|
||||
case 'discover':
|
||||
case 'auto_run':
|
||||
$new_tools = []; $new_skills = []; $integrated = [];
|
||||
|
||||
foreach ($SOURCES as $name => $url) {
|
||||
$data = github_fetch($url);
|
||||
if (!$data) continue;
|
||||
foreach (($data['items'] ?? []) as $repo) {
|
||||
$id = $repo['full_name'] ?? '';
|
||||
if (isset($db['tools'][$id])) continue;
|
||||
|
||||
$eval = score_tool($repo, $NEEDS);
|
||||
if ($eval['score'] < 5) continue;
|
||||
|
||||
$tool = [
|
||||
'name' => $repo['name'], 'full_name' => $id,
|
||||
'description' => mb_substr($repo['description'] ?? '', 0, 200),
|
||||
'url' => $repo['html_url'], 'stars' => $repo['stargazers_count'] ?? 0,
|
||||
'language' => $repo['language'] ?? '?', 'license' => $repo['license']['spdx_id'] ?? '?',
|
||||
'topics' => $repo['topics'] ?? [], 'score' => $eval['score'],
|
||||
'matched_needs' => $eval['matched_needs'], 'discovered_at' => date('c'),
|
||||
'status' => 'discovered', 'source' => $name,
|
||||
];
|
||||
|
||||
// ─── AUTO-INTEGRATE if score >= 15 ───
|
||||
if ($eval['score'] >= 15 && $action === 'auto_run') {
|
||||
$slug = create_skill($tool, $eval['matched_needs'], $SKILLS_DIR);
|
||||
if ($slug) {
|
||||
$tool['status'] = 'integrated';
|
||||
$tool['integrated_at'] = date('c');
|
||||
$tool['skill_slug'] = $slug;
|
||||
$db['total_skills_injected']++;
|
||||
$new_skills[] = $slug;
|
||||
$integrated[] = $tool;
|
||||
}
|
||||
}
|
||||
|
||||
$db['tools'][$id] = $tool;
|
||||
$db['total_discovered']++;
|
||||
$new_tools[] = $tool;
|
||||
}
|
||||
usleep(500000); // Rate limit
|
||||
}
|
||||
|
||||
$db['last_scan'] = date('c');
|
||||
file_put_contents($DB_FILE, json_encode($db, JSON_PRETTY_PRINT));
|
||||
|
||||
// Log
|
||||
$log_msg = date('Y-m-d H:i:s') . " SCAN: +{count($new_tools)} discovered, +" . count($new_skills) . " skills created\n";
|
||||
file_put_contents($LOG, str_replace('{count($new_tools)}', count($new_tools), $log_msg), FILE_APPEND);
|
||||
|
||||
// ─── TELEGRAM NOTIFICATION ───
|
||||
if (count($new_tools) > 0) {
|
||||
$msg = "🔍 <b>OSS Discovery</b>\n";
|
||||
$msg .= "+" . count($new_tools) . " new tools found\n";
|
||||
$msg .= "+" . count($new_skills) . " skills auto-injected\n\n";
|
||||
$top3 = array_slice($new_tools, 0, 3);
|
||||
foreach ($top3 as $t) {
|
||||
$msg .= "⭐ <b>{$t['name']}</b> ({$t['score']}pts)\n";
|
||||
$msg .= " " . implode(', ', $t['matched_needs']) . "\n";
|
||||
}
|
||||
$msg .= "\nTotal: " . count($db['tools']) . " tools | " . $db['total_skills_injected'] . " skills";
|
||||
tg_notify($msg);
|
||||
}
|
||||
|
||||
// ─── OBSIDIAN AUTO-UPDATE ───
|
||||
$obsidian_note = "# OSS Discovery Report\n\n";
|
||||
$obsidian_note .= "**Last scan:** " . date('Y-m-d H:i') . "\n";
|
||||
$obsidian_note .= "**Total tools:** " . count($db['tools']) . "\n";
|
||||
$obsidian_note .= "**Skills injected:** " . $db['total_skills_injected'] . "\n\n";
|
||||
$obsidian_note .= "## Latest Discoveries\n";
|
||||
$sorted = $db['tools']; usort($sorted, fn($a,$b) => ($b['score']??0) - ($a['score']??0));
|
||||
foreach (array_slice($sorted, 0, 15) as $t) {
|
||||
$status_icon = $t['status'] === 'integrated' ? '✅' : '🔍';
|
||||
$obsidian_note .= "- {$status_icon} **{$t['name']}** ({$t['score']}pts) — " . implode(', ', $t['matched_needs'] ?? []) . "\n";
|
||||
}
|
||||
$obsidian_note .= "\n## Skills Auto-Injected\n";
|
||||
foreach ($db['skills_created'] ?? [] as $s) { $obsidian_note .= "- `{$s}`\n"; }
|
||||
foreach ($new_skills as $s) { $obsidian_note .= "- `{$s}` ⚡ NEW\n"; $db['skills_created'][] = $s; }
|
||||
file_put_contents($DB_FILE, json_encode($db, JSON_PRETTY_PRINT));
|
||||
obsidian_push('/03-Resources/Techniques/OSS-Discovery-Report.md', $obsidian_note);
|
||||
|
||||
usort($new_tools, fn($a,$b) => $b['score'] - $a['score']);
|
||||
echo json_encode([
|
||||
'ok' => true, 'new_tools' => count($new_tools), 'new_skills' => count($new_skills),
|
||||
'auto_integrated' => count($integrated),
|
||||
'top' => array_slice(array_map(fn($t) => ['name'=>$t['full_name'],'score'=>$t['score'],'needs'=>$t['matched_needs'],'status'=>$t['status']], $new_tools), 0, 10),
|
||||
'total_known' => count($db['tools']), 'total_skills' => $db['total_skills_injected']
|
||||
]);
|
||||
break;
|
||||
|
||||
case 'trending':
|
||||
$data = github_fetch('https://api.github.com/search/repositories?q=ai+agent+tool+created:>2026-03-01&sort=stars&order=desc&per_page=20');
|
||||
$trending = [];
|
||||
foreach (($data['items'] ?? []) as $repo) {
|
||||
$eval = score_tool($repo, $NEEDS);
|
||||
$trending[] = ['name'=>$repo['full_name'],'stars'=>$repo['stargazers_count'],'description'=>mb_substr($repo['description']??'',0,150),
|
||||
'language'=>$repo['language'],'score'=>$eval['score'],'needs'=>$eval['matched_needs'],'url'=>$repo['html_url']];
|
||||
}
|
||||
usort($trending, fn($a,$b) => $b['score'] - $a['score']);
|
||||
echo json_encode(['ok'=>true,'trending'=>array_slice($trending,0,15)]);
|
||||
break;
|
||||
|
||||
case 'evaluate':
|
||||
$tid = $_GET['tool'] ?? '';
|
||||
if (!$tid || !isset($db['tools'][$tid])) { echo json_encode(['error'=>'not found']); break; }
|
||||
$t = $db['tools'][$tid];
|
||||
$f = [
|
||||
'can_run_cpu' => !in_array('gpu', $t['topics'] ?? []),
|
||||
'language_ok' => in_array(strtolower($t['language']), ['python','php','javascript','typescript','shell','go']),
|
||||
'license_ok' => in_array(strtolower($t['license']), ['mit','apache-2.0','bsd-2-clause','bsd-3-clause','gpl-3.0']),
|
||||
'has_docker' => in_array('docker', $t['topics'] ?? []),
|
||||
];
|
||||
$f['go'] = $f['can_run_cpu'] && $f['language_ok'] && $f['license_ok'];
|
||||
$primary_need = $t['matched_needs'][0] ?? 'skill_agent';
|
||||
$target = $INTEGRATION_MAP[$primary_need] ?? ['target'=>'manual','server'=>'S204'];
|
||||
|
||||
$db['tools'][$tid]['status'] = 'evaluated';
|
||||
$db['tools'][$tid]['feasibility'] = $f;
|
||||
$db['tools'][$tid]['integration_target'] = $target;
|
||||
file_put_contents($DB_FILE, json_encode($db, JSON_PRETTY_PRINT));
|
||||
echo json_encode(['ok'=>true,'tool'=>$t,'feasibility'=>$f,'target'=>$target]);
|
||||
break;
|
||||
|
||||
case 'integrate':
|
||||
$tid = $_GET['tool'] ?? '';
|
||||
if (!$tid || !isset($db['tools'][$tid])) { echo json_encode(['error'=>'not found']); break; }
|
||||
$t = $db['tools'][$tid];
|
||||
$slug = create_skill($t, $t['matched_needs'], $SKILLS_DIR);
|
||||
if ($slug) {
|
||||
$db['tools'][$tid]['status'] = 'integrated';
|
||||
$db['tools'][$tid]['integrated_at'] = date('c');
|
||||
$db['tools'][$tid]['skill_slug'] = $slug;
|
||||
$db['total_skills_injected']++;
|
||||
$db['skills_created'][] = $slug;
|
||||
file_put_contents($DB_FILE, json_encode($db, JSON_PRETTY_PRINT));
|
||||
tg_notify("🔧 Skill integrated: <b>{$t['name']}</b> → {$SKILLS_DIR}/{$slug}/");
|
||||
echo json_encode(['ok'=>true,'skill'=>$slug,'path'=>"$SKILLS_DIR/$slug/SKILL.md"]);
|
||||
} else {
|
||||
echo json_encode(['ok'=>false,'message'=>'already exists']);
|
||||
}
|
||||
break;
|
||||
|
||||
case 'skills':
|
||||
// V58b_SANE_DEEP_SCAN - unlimited total, depth 6, exclude node_modules/.venv/.next/dist/backend/site-packages/__pycache__/.git/vendor
|
||||
$SKILLS_PUBLIC = '/var/www/html/skills';
|
||||
$EXCLUDE = ['node_modules', '.venv', '.next', 'dist', 'backend', 'site-packages', '__pycache__', '.git', 'vendor', 'build', 'target'];
|
||||
$MAX_DEPTH = 6;
|
||||
$skills = [];
|
||||
$collections = [];
|
||||
if (is_dir($SKILLS_PUBLIC)) {
|
||||
foreach (scandir($SKILLS_PUBLIC) as $col) {
|
||||
if ($col === '.' || $col === '..') continue;
|
||||
$col_path = $SKILLS_PUBLIC . '/' . $col;
|
||||
$real = is_link($col_path) ? readlink($col_path) : $col_path;
|
||||
if (!is_dir($real)) continue;
|
||||
$count = 0;
|
||||
$seen = [];
|
||||
try {
|
||||
$it = new RecursiveIteratorIterator(
|
||||
new RecursiveDirectoryIterator($real, RecursiveDirectoryIterator::SKIP_DOTS),
|
||||
RecursiveIteratorIterator::LEAVES_ONLY
|
||||
);
|
||||
$it->setMaxDepth($MAX_DEPTH);
|
||||
foreach ($it as $f) {
|
||||
$path = $f->getPathname();
|
||||
$skip = false;
|
||||
foreach ($EXCLUDE as $ex) {
|
||||
if (strpos($path, '/' . $ex . '/') !== false) { $skip = true; break; }
|
||||
}
|
||||
if ($skip) continue;
|
||||
$fname = strtolower($f->getFilename());
|
||||
if ($fname === 'skill.md' || $fname === 'readme.md' || $fname === 'index.md' || $fname === 'agent.md') {
|
||||
$dirpath = dirname($path);
|
||||
if (isset($seen[$dirpath])) continue;
|
||||
$seen[$dirpath] = true;
|
||||
$skill_name = basename($dirpath);
|
||||
$skills[] = [
|
||||
'slug' => $col . '/' . $skill_name,
|
||||
'name' => $skill_name,
|
||||
'collection' => $col
|
||||
];
|
||||
$count++;
|
||||
}
|
||||
}
|
||||
} catch (\Throwable $e) { }
|
||||
$collections[$col] = $count;
|
||||
}
|
||||
}
|
||||
arsort($collections);
|
||||
echo json_encode([
|
||||
'ok' => true,
|
||||
'skills' => $skills,
|
||||
'total' => count($skills),
|
||||
'collections' => $collections,
|
||||
'collections_count' => count($collections),
|
||||
'path' => $SKILLS_PUBLIC,
|
||||
'scan' => 'V58b_sane_deep',
|
||||
'max_depth' => $MAX_DEPTH,
|
||||
'excluded' => $EXCLUDE
|
||||
]);
|
||||
break;
|
||||
|
||||
break;
|
||||
|
||||
case 'report':
|
||||
default:
|
||||
$by_status = ['discovered'=>0,'evaluated'=>0,'integrated'=>0,'rejected'=>0];
|
||||
$by_need = []; $top = [];
|
||||
foreach ($db['tools'] as $t) {
|
||||
$by_status[$t['status']??'discovered']++;
|
||||
foreach ($t['matched_needs']??[] as $n) { $by_need[$n] = ($by_need[$n]??0)+1; }
|
||||
if (($t['score']??0) >= 10) $top[] = ['name'=>$t['full_name'],'score'=>$t['score'],'status'=>$t['status'],'needs'=>$t['matched_needs']??[],'wire_date'=>$t['wire_date']??'','wire_status'=>$t['wire_status']??'','test_status'=>$t['test_status']??'','stars'=>$t['stars']??0,'slug'=>$t['skill_slug']??''];
|
||||
}
|
||||
$wire_ok=$wire_fail=0;foreach($db["tools"] as $_t){if(($_t["wire_status"]??"")=="success")$wire_ok++;elseif(($_t["wire_status"]??"")=="failed")$wire_fail++;}
|
||||
usort($top, fn($a,$b) => $b['score']-$a['score']); arsort($by_need);
|
||||
echo json_encode([
|
||||
'ok'=>true,'total'=>count($db['tools']),'by_status'=>$by_status,'by_need'=>$by_need,
|
||||
'top'=>array_slice($top,0,15),'skills_injected'=>$db['total_skills_injected'],
|
||||
'skills_list'=>$db['skills_created']??[],'last_scan'=>$db['last_scan'],
|
||||
'integration_targets'=>array_keys($INTEGRATION_MAP),
|
||||
'test_summary'=>$db['test_summary']??[],'wire_stats'=>['success'=>$wire_ok,'failed'=>$wire_fail],'already_wired'=>['Browser Use','OpenClaw','Strix/Nuclei','Prometheus','Mastra','Dify','Supermemory','EvoMaster','Activepieces','Goose','AEGIS','SkillSmith','AIOS','vaultwarden','gitea','pmta-versions']
|
||||
]);
|
||||
break;
|
||||
}
|
||||
@@ -0,0 +1,399 @@
|
||||
<?php
|
||||
error_reporting(0);
|
||||
/**
|
||||
* WEVAL OSS Discovery & Auto-Integration Module v2.0
|
||||
* Discovers, scores, auto-integrates skills/tools into WEVAL architecture
|
||||
*
|
||||
* ?action=discover — Scan + auto-integrate high-score tools
|
||||
* ?action=trending — GitHub trending scored
|
||||
* ?action=evaluate — Manual evaluate a tool
|
||||
* ?action=integrate — Force integrate a tool
|
||||
* ?action=report — Ecosystem report
|
||||
* ?action=auto_run — Full cycle: discover + evaluate + integrate + notify
|
||||
*/
|
||||
|
||||
header('Content-Type: application/json');
|
||||
$KEY = 'WEVADS2026';
|
||||
// Public read (report/stats) allowed; auth required for write operations
|
||||
$_action = $_GET['action'] ?? 'report';
|
||||
$_writeActions = ['discover','evaluate','integrate','auto_run','force_update'];
|
||||
if (in_array($_action, $_writeActions) && ($_GET['k'] ?? $_POST['k'] ?? '') !== $KEY) {
|
||||
http_response_code(403); die(json_encode(['error'=>'auth']));
|
||||
}
|
||||
|
||||
$action = $_GET['action'] ?? 'report';
|
||||
$DB_FILE = '/opt/wevads/vault/oss-discovery.json';
|
||||
$SKILLS_DIR = '/var/www/html/skills';
|
||||
$LOG = '/var/log/oss-discovery.log';
|
||||
$TG_BOT = '8544624912';
|
||||
$TG_CHAT = '7605775322';
|
||||
$OBSIDIAN_API = 'https://weval-consulting.com/api/obsidian-sync-receiver.php';
|
||||
|
||||
if (!is_dir($SKILLS_DIR)) @mkdir($SKILLS_DIR, 0755, true);
|
||||
if (!is_dir('/opt/wevads/vault')) @mkdir('/opt/wevads/vault', 0755, true);
|
||||
|
||||
$db = file_exists($DB_FILE) ? json_decode(file_get_contents($DB_FILE), true) : [
|
||||
'tools' => [], 'skills_created' => [], 'last_scan' => null,
|
||||
'total_discovered' => 0, 'total_integrated' => 0, 'total_skills_injected' => 0
|
||||
];
|
||||
|
||||
// ─── NEEDS MATRIX ───
|
||||
$NEEDS = [
|
||||
'rag' => ['weight'=>10, 'kw'=>['rag','retrieval','vector','embedding','knowledge-base','semantic-search']],
|
||||
'skill_agent' => ['weight'=>10, 'kw'=>['skill','agent','plugin','hook','mcp','claude-code','subagent','orchestrat']],
|
||||
'scraping' => ['weight'=>9, 'kw'=>['scraper','crawl','extraction','playwright','selenium','browser-use']],
|
||||
'llm_local' => ['weight'=>9, 'kw'=>['ollama','llm','inference','quantize','gguf','local','sovereign','vllm']],
|
||||
'security' => ['weight'=>8, 'kw'=>['security','audit','vulnerability','scan','pentest','nuclei','shield']],
|
||||
'pharma_health' => ['weight'=>8, 'kw'=>['pharma','health','medical','hcp','drug','clinical','healthcare']],
|
||||
'email' => ['weight'=>8, 'kw'=>['email','smtp','deliverability','warmup','bounce','mta','newsletter']],
|
||||
'crm' => ['weight'=>7, 'kw'=>['crm','lead','pipeline','sales','contact','prospect']],
|
||||
'automation' => ['weight'=>7, 'kw'=>['automation','workflow','n8n','cron','pipeline','orchestrat','activepieces']],
|
||||
'analytics' => ['weight'=>6, 'kw'=>['analytics','dashboard','report','metric','tracking','plausible']],
|
||||
'monitoring' => ['weight'=>6, 'kw'=>['monitor','alert','health','uptime','prometheus','grafana']],
|
||||
'code_quality' => ['weight'=>5, 'kw'=>['lint','test','quality','ci','format','coverage','tdd']],
|
||||
'verification' => ['weight'=>9, 'kw'=>['verification','verifier','adversarial','nonreg','regression','audit','assertion']],
|
||||
'prompt_eng' => ['weight'=>9, 'kw'=>['system-prompt','prompt-engineering','prompt-leak','claude-code','instruction','guardrail']],
|
||||
'context_mgmt' => ['weight'=>10, 'kw'=>['context-window','context-compression','token-budget','context-collapse','summarization','compaction']],
|
||||
'moa_ensemble' => ['weight'=>9, 'kw'=>['mixture-of-agents','moa','ensemble','self-moa','multi-agent','coordinator','subagent','swarm']],
|
||||
'spec_decode' => ['weight'=>8, 'kw'=>['speculative-decoding','eagle','medusa','draft-model','spec-decode','lookahead','specforge']],
|
||||
'mem_consol' => ['weight'=>8, 'kw'=>['memory-consolidation','auto-dream','persistent-memory','session-memory','memory-layer','knowledge-graph']],
|
||||
'mcp_protocol' => ['weight'=>9, 'kw'=>['mcp','model-context-protocol','tool-server','mcp-server','function-calling','tool-use']],
|
||||
'vllm_serve' => ['weight'=>10, 'kw'=>['vllm','paged-attention','tensor-parallel','serving','inference-engine','sglang','tgi']],
|
||||
'sovereign_eu' => ['weight'=>9, 'kw'=>['sovereign','gdpr','eu-ai-act','on-premise','self-hosted','data-sovereignty','mistral']],
|
||||
];
|
||||
|
||||
// ─── AUTO-INTEGRATION TARGETS ───
|
||||
$INTEGRATION_MAP = [
|
||||
'skill_agent' => ['target'=>'skill_factory', 'path'=>$SKILLS_DIR, 'server'=>'S204'],
|
||||
'rag' => ['target'=>'qdrant_pipeline', 'path'=>'/opt/weval-rag', 'server'=>'S204'],
|
||||
'security' => ['target'=>'aegis_nuclei', 'path'=>'/var/www/html/api/nuclei-templates', 'server'=>'S204'],
|
||||
'scraping' => ['target'=>'scraper_arsenal', 'path'=>'/opt/wevads-arsenal', 'server'=>'S95'],
|
||||
'llm_local' => ['target'=>'ollama_models', 'path'=>'ollama', 'server'=>'S204'],
|
||||
'pharma_health' => ['target'=>'ethica_tools', 'path'=>'/opt/ethica-tools', 'server'=>'S95'],
|
||||
'email' => ['target'=>'mta_tools', 'path'=>'/opt/wevads/email-tools', 'server'=>'S95'],
|
||||
'automation' => ['target'=>'n8n_workflows', 'path'=>'/opt/n8n-workflows', 'server'=>'S95'],
|
||||
'monitoring' => ['target'=>'monitoring', 'path'=>'/opt/wevads/monitoring', 'server'=>'S204'],
|
||||
'crm' => ['target'=>'crm_extensions', 'path'=>'/opt/crm-tools', 'server'=>'S204'],
|
||||
'analytics' => ['target'=>'analytics', 'path'=>'/opt/analytics-tools', 'server'=>'S204'],
|
||||
'verification' => ['target'=>'verifier_agent', 'path'=>'/opt/deer-flow/backend/packages/harness/deerflow/subagents', 'server'=>'S204'],
|
||||
'prompt_eng' => ['target'=>'prompt_library', 'path'=>'/opt/wevads/vault/prompt-patterns', 'server'=>'S204'],
|
||||
'context_mgmt' => ['target'=>'wcp_patterns', 'path'=>'/var/www/weval/wevia-ia', 'server'=>'S204'],
|
||||
'moa_ensemble' => ['target'=>'wsi_sovereign', 'path'=>'/var/www/weval/wevia-ia', 'server'=>'S204'],
|
||||
'spec_decode' => ['target'=>'vllm_config', 'path'=>'/opt/vllm', 'server'=>'S204'],
|
||||
'mem_consol' => ['target'=>'dream_engine', 'path'=>'/var/www/weval/wevia-ia', 'server'=>'S204'],
|
||||
'mcp_protocol' => ['target'=>'mcp_servers', 'path'=>'/opt/mcp-tools', 'server'=>'S204'],
|
||||
'vllm_serve' => ['target'=>'inference_engine', 'path'=>'/opt/vllm', 'server'=>'S204'],
|
||||
'sovereign_eu' => ['target'=>'sovereign_stack', 'path'=>'/opt/sovereign', 'server'=>'S204'],
|
||||
];
|
||||
|
||||
// ─── HELPERS ───
|
||||
function score_tool($repo, $needs) {
|
||||
$score = 0; $matched = [];
|
||||
$text = strtolower(($repo['name']??'').' '.($repo['description']??'').' '.implode(' ',$repo['topics']??[]));
|
||||
foreach ($needs as $need => $cfg) {
|
||||
foreach ($cfg['kw'] as $kw) {
|
||||
if (strpos($text, $kw) !== false) { $score += $cfg['weight']; $matched[] = $need; break; }
|
||||
}
|
||||
}
|
||||
$stars = $repo['stargazers_count'] ?? 0;
|
||||
if ($stars > 10000) $score += 5; elseif ($stars > 1000) $score += 3; elseif ($stars > 100) $score += 1;
|
||||
$lic = strtolower($repo['license']['spdx_id'] ?? '');
|
||||
if (in_array($lic, ['mit','apache-2.0','bsd-2-clause','bsd-3-clause'])) $score += 2;
|
||||
$lang = strtolower($repo['language'] ?? '');
|
||||
if (in_array($lang, ['python','php','javascript','typescript','shell','go'])) $score += 2;
|
||||
return ['score'=>$score, 'matched_needs'=>array_unique($matched)];
|
||||
}
|
||||
|
||||
function tg_notify($msg) {
|
||||
global $TG_BOT, $TG_CHAT;
|
||||
@file_get_contents("https://api.telegram.org/bot{$TG_BOT}:AAGdBn1f3m0UtnxK7LHhA33fJ1I2VZJPnug/sendMessage?" . http_build_query([
|
||||
'chat_id' => $TG_CHAT, 'text' => $msg, 'parse_mode' => 'HTML'
|
||||
]));
|
||||
}
|
||||
|
||||
function obsidian_push($path, $content) {
|
||||
global $OBSIDIAN_API;
|
||||
$ch = curl_init($OBSIDIAN_API);
|
||||
curl_setopt_array($ch, [
|
||||
CURLOPT_POST => true, CURLOPT_RETURNTRANSFER => true, CURLOPT_SSL_VERIFYPEER => false,
|
||||
CURLOPT_HTTPHEADER => ['Content-Type: application/json'],
|
||||
CURLOPT_POSTFIELDS => json_encode(['action'=>'obsidian_sync','path'=>$path,'content'=>base64_encode($content)])
|
||||
]);
|
||||
curl_exec($ch); curl_close($ch);
|
||||
}
|
||||
|
||||
function create_skill($tool, $needs_matched, $skills_dir) {
|
||||
$slug = preg_replace('/[^a-z0-9-]/', '-', strtolower($tool['name']));
|
||||
$dir = "$skills_dir/$slug";
|
||||
if (is_dir($dir)) return null;
|
||||
@mkdir($dir, 0755, true);
|
||||
|
||||
$needs_str = implode(', ', $needs_matched);
|
||||
$topics_str = implode(', ', array_slice($tool['topics'] ?? [], 0, 8));
|
||||
$desc = $tool['description'] ?? 'No description';
|
||||
|
||||
$skill_md = "# {$tool['name']}\n\n";
|
||||
$skill_md .= "## Source\n- GitHub: {$tool['url']}\n- Stars: {$tool['stars']}\n- Language: {$tool['language']}\n- License: {$tool['license']}\n\n";
|
||||
$skill_md .= "## Description\n{$desc}\n\n";
|
||||
$skill_md .= "## WEVAL Relevance\n- Score: {$tool['score']}\n- Matched needs: {$needs_str}\n- Topics: {$topics_str}\n\n";
|
||||
$skill_md .= "## Integration\n- Status: auto-discovered\n- Target: " . ($GLOBALS['INTEGRATION_MAP'][$needs_matched[0] ?? 'skill_agent']['target'] ?? 'manual') . "\n";
|
||||
$skill_md .= "- Server: " . ($GLOBALS['INTEGRATION_MAP'][$needs_matched[0] ?? 'skill_agent']['server'] ?? 'S204') . "\n\n";
|
||||
$skill_md .= "## Usage\n```\n# Clone and evaluate\ngit clone {$tool['url']}\n# Check README for install instructions\n```\n\n";
|
||||
$skill_md .= "## Triggers\n";
|
||||
foreach ($needs_matched as $n) { $skill_md .= "- $n\n"; }
|
||||
$skill_md .= "\n---\nAuto-discovered: " . date('Y-m-d H:i') . "\n";
|
||||
|
||||
file_put_contents("$dir/SKILL.md", $skill_md);
|
||||
return $slug;
|
||||
}
|
||||
|
||||
function github_fetch($url) {
|
||||
$ctx = stream_context_create(['http' => [
|
||||
'header' => "User-Agent: WEVAL-Discovery/2.0\r\nAccept: application/vnd.github+json\r\n",
|
||||
'timeout' => 15
|
||||
]]);
|
||||
$json = @file_get_contents($url, false, $ctx);
|
||||
return $json ? json_decode($json, true) : null;
|
||||
}
|
||||
|
||||
// ─── SOURCES ───
|
||||
$SOURCES = [
|
||||
'claude_skills' => 'https://api.github.com/search/repositories?q=topic:claude-code+OR+topic:claude-skills+OR+topic:agent-skills&sort=stars&order=desc&per_page=20',
|
||||
'ai_agents' => 'https://api.github.com/search/repositories?q=topic:ai-agents+topic:open-source+language:python&sort=updated&order=desc&per_page=15',
|
||||
'mcp_tools' => 'https://api.github.com/search/repositories?q=topic:mcp+OR+topic:model-context-protocol&sort=stars&order=desc&per_page=15',
|
||||
'rag_tools' => 'https://api.github.com/search/repositories?q=rag+retrieval+augmented+generation+language:python&sort=stars&order=desc&per_page=10',
|
||||
'security_tools'=> 'https://api.github.com/search/repositories?q=security+audit+agent+2026&sort=stars&order=desc&per_page=10',
|
||||
'pharma_ai' => 'https://api.github.com/search/repositories?q=pharma+healthcare+ai+open-source&sort=stars&order=desc&per_page=10',
|
||||
'ollama_tools' => 'https://api.github.com/search/repositories?q=topic:ollama+language:python&sort=updated&order=desc&per_page=10',
|
||||
'system_prompts'=> 'https://api.github.com/search/repositories?q=system+prompt+leak+OR+claude-code+prompt+engineering&sort=stars&order=desc&per_page=15',
|
||||
'verification' => 'https://api.github.com/search/repositories?q=adversarial+testing+OR+verification+agent+OR+regression+testing+ai&sort=stars&order=desc&per_page=10',
|
||||
];
|
||||
|
||||
// ═══════════════════════════════════════════
|
||||
switch ($action) {
|
||||
|
||||
case 'discover':
|
||||
case 'auto_run':
|
||||
$new_tools = []; $new_skills = []; $integrated = [];
|
||||
|
||||
foreach ($SOURCES as $name => $url) {
|
||||
$data = github_fetch($url);
|
||||
if (!$data) continue;
|
||||
foreach (($data['items'] ?? []) as $repo) {
|
||||
$id = $repo['full_name'] ?? '';
|
||||
if (isset($db['tools'][$id])) continue;
|
||||
|
||||
$eval = score_tool($repo, $NEEDS);
|
||||
if ($eval['score'] < 5) continue;
|
||||
|
||||
$tool = [
|
||||
'name' => $repo['name'], 'full_name' => $id,
|
||||
'description' => mb_substr($repo['description'] ?? '', 0, 200),
|
||||
'url' => $repo['html_url'], 'stars' => $repo['stargazers_count'] ?? 0,
|
||||
'language' => $repo['language'] ?? '?', 'license' => $repo['license']['spdx_id'] ?? '?',
|
||||
'topics' => $repo['topics'] ?? [], 'score' => $eval['score'],
|
||||
'matched_needs' => $eval['matched_needs'], 'discovered_at' => date('c'),
|
||||
'status' => 'discovered', 'source' => $name,
|
||||
];
|
||||
|
||||
// ─── AUTO-INTEGRATE if score >= 15 ───
|
||||
if ($eval['score'] >= 15 && $action === 'auto_run') {
|
||||
$slug = create_skill($tool, $eval['matched_needs'], $SKILLS_DIR);
|
||||
if ($slug) {
|
||||
$tool['status'] = 'integrated';
|
||||
$tool['integrated_at'] = date('c');
|
||||
$tool['skill_slug'] = $slug;
|
||||
$db['total_skills_injected']++;
|
||||
$new_skills[] = $slug;
|
||||
$integrated[] = $tool;
|
||||
}
|
||||
}
|
||||
|
||||
$db['tools'][$id] = $tool;
|
||||
$db['total_discovered']++;
|
||||
$new_tools[] = $tool;
|
||||
}
|
||||
usleep(500000); // Rate limit
|
||||
}
|
||||
|
||||
$db['last_scan'] = date('c');
|
||||
file_put_contents($DB_FILE, json_encode($db, JSON_PRETTY_PRINT));
|
||||
|
||||
// Log
|
||||
$log_msg = date('Y-m-d H:i:s') . " SCAN: +{count($new_tools)} discovered, +" . count($new_skills) . " skills created\n";
|
||||
file_put_contents($LOG, str_replace('{count($new_tools)}', count($new_tools), $log_msg), FILE_APPEND);
|
||||
|
||||
// ─── TELEGRAM NOTIFICATION ───
|
||||
if (count($new_tools) > 0) {
|
||||
$msg = "🔍 <b>OSS Discovery</b>\n";
|
||||
$msg .= "+" . count($new_tools) . " new tools found\n";
|
||||
$msg .= "+" . count($new_skills) . " skills auto-injected\n\n";
|
||||
$top3 = array_slice($new_tools, 0, 3);
|
||||
foreach ($top3 as $t) {
|
||||
$msg .= "⭐ <b>{$t['name']}</b> ({$t['score']}pts)\n";
|
||||
$msg .= " " . implode(', ', $t['matched_needs']) . "\n";
|
||||
}
|
||||
$msg .= "\nTotal: " . count($db['tools']) . " tools | " . $db['total_skills_injected'] . " skills";
|
||||
tg_notify($msg);
|
||||
}
|
||||
|
||||
// ─── OBSIDIAN AUTO-UPDATE ───
|
||||
$obsidian_note = "# OSS Discovery Report\n\n";
|
||||
$obsidian_note .= "**Last scan:** " . date('Y-m-d H:i') . "\n";
|
||||
$obsidian_note .= "**Total tools:** " . count($db['tools']) . "\n";
|
||||
$obsidian_note .= "**Skills injected:** " . $db['total_skills_injected'] . "\n\n";
|
||||
$obsidian_note .= "## Latest Discoveries\n";
|
||||
$sorted = $db['tools']; usort($sorted, fn($a,$b) => ($b['score']??0) - ($a['score']??0));
|
||||
foreach (array_slice($sorted, 0, 15) as $t) {
|
||||
$status_icon = $t['status'] === 'integrated' ? '✅' : '🔍';
|
||||
$obsidian_note .= "- {$status_icon} **{$t['name']}** ({$t['score']}pts) — " . implode(', ', $t['matched_needs'] ?? []) . "\n";
|
||||
}
|
||||
$obsidian_note .= "\n## Skills Auto-Injected\n";
|
||||
foreach ($db['skills_created'] ?? [] as $s) { $obsidian_note .= "- `{$s}`\n"; }
|
||||
foreach ($new_skills as $s) { $obsidian_note .= "- `{$s}` ⚡ NEW\n"; $db['skills_created'][] = $s; }
|
||||
file_put_contents($DB_FILE, json_encode($db, JSON_PRETTY_PRINT));
|
||||
obsidian_push('/03-Resources/Techniques/OSS-Discovery-Report.md', $obsidian_note);
|
||||
|
||||
usort($new_tools, fn($a,$b) => $b['score'] - $a['score']);
|
||||
echo json_encode([
|
||||
'ok' => true, 'new_tools' => count($new_tools), 'new_skills' => count($new_skills),
|
||||
'auto_integrated' => count($integrated),
|
||||
'top' => array_slice(array_map(fn($t) => ['name'=>$t['full_name'],'score'=>$t['score'],'needs'=>$t['matched_needs'],'status'=>$t['status']], $new_tools), 0, 10),
|
||||
'total_known' => count($db['tools']), 'total_skills' => $db['total_skills_injected']
|
||||
]);
|
||||
break;
|
||||
|
||||
case 'trending':
|
||||
$data = github_fetch('https://api.github.com/search/repositories?q=ai+agent+tool+created:>2026-03-01&sort=stars&order=desc&per_page=20');
|
||||
$trending = [];
|
||||
foreach (($data['items'] ?? []) as $repo) {
|
||||
$eval = score_tool($repo, $NEEDS);
|
||||
$trending[] = ['name'=>$repo['full_name'],'stars'=>$repo['stargazers_count'],'description'=>mb_substr($repo['description']??'',0,150),
|
||||
'language'=>$repo['language'],'score'=>$eval['score'],'needs'=>$eval['matched_needs'],'url'=>$repo['html_url']];
|
||||
}
|
||||
usort($trending, fn($a,$b) => $b['score'] - $a['score']);
|
||||
echo json_encode(['ok'=>true,'trending'=>array_slice($trending,0,15)]);
|
||||
break;
|
||||
|
||||
case 'evaluate':
|
||||
$tid = $_GET['tool'] ?? '';
|
||||
if (!$tid || !isset($db['tools'][$tid])) { echo json_encode(['error'=>'not found']); break; }
|
||||
$t = $db['tools'][$tid];
|
||||
$f = [
|
||||
'can_run_cpu' => !in_array('gpu', $t['topics'] ?? []),
|
||||
'language_ok' => in_array(strtolower($t['language']), ['python','php','javascript','typescript','shell','go']),
|
||||
'license_ok' => in_array(strtolower($t['license']), ['mit','apache-2.0','bsd-2-clause','bsd-3-clause','gpl-3.0']),
|
||||
'has_docker' => in_array('docker', $t['topics'] ?? []),
|
||||
];
|
||||
$f['go'] = $f['can_run_cpu'] && $f['language_ok'] && $f['license_ok'];
|
||||
$primary_need = $t['matched_needs'][0] ?? 'skill_agent';
|
||||
$target = $INTEGRATION_MAP[$primary_need] ?? ['target'=>'manual','server'=>'S204'];
|
||||
|
||||
$db['tools'][$tid]['status'] = 'evaluated';
|
||||
$db['tools'][$tid]['feasibility'] = $f;
|
||||
$db['tools'][$tid]['integration_target'] = $target;
|
||||
file_put_contents($DB_FILE, json_encode($db, JSON_PRETTY_PRINT));
|
||||
echo json_encode(['ok'=>true,'tool'=>$t,'feasibility'=>$f,'target'=>$target]);
|
||||
break;
|
||||
|
||||
case 'integrate':
|
||||
$tid = $_GET['tool'] ?? '';
|
||||
if (!$tid || !isset($db['tools'][$tid])) { echo json_encode(['error'=>'not found']); break; }
|
||||
$t = $db['tools'][$tid];
|
||||
$slug = create_skill($t, $t['matched_needs'], $SKILLS_DIR);
|
||||
if ($slug) {
|
||||
$db['tools'][$tid]['status'] = 'integrated';
|
||||
$db['tools'][$tid]['integrated_at'] = date('c');
|
||||
$db['tools'][$tid]['skill_slug'] = $slug;
|
||||
$db['total_skills_injected']++;
|
||||
$db['skills_created'][] = $slug;
|
||||
file_put_contents($DB_FILE, json_encode($db, JSON_PRETTY_PRINT));
|
||||
tg_notify("🔧 Skill integrated: <b>{$t['name']}</b> → {$SKILLS_DIR}/{$slug}/");
|
||||
echo json_encode(['ok'=>true,'skill'=>$slug,'path'=>"$SKILLS_DIR/$slug/SKILL.md"]);
|
||||
} else {
|
||||
echo json_encode(['ok'=>false,'message'=>'already exists']);
|
||||
}
|
||||
break;
|
||||
|
||||
case 'skills':
|
||||
// V58b_SANE_DEEP_SCAN - unlimited total, depth 6, exclude node_modules/.venv/.next/dist/backend/site-packages/__pycache__/.git/vendor
|
||||
$SKILLS_PUBLIC = '/var/www/html/skills';
|
||||
$EXCLUDE = ['node_modules', '.venv', '.next', 'dist', 'backend', 'site-packages', '__pycache__', '.git', 'vendor', 'build', 'target'];
|
||||
$MAX_DEPTH = 6;
|
||||
$skills = [];
|
||||
$collections = [];
|
||||
if (is_dir($SKILLS_PUBLIC)) {
|
||||
foreach (scandir($SKILLS_PUBLIC) as $col) {
|
||||
if ($col === '.' || $col === '..') continue;
|
||||
$col_path = $SKILLS_PUBLIC . '/' . $col;
|
||||
$real = is_link($col_path) ? readlink($col_path) : $col_path;
|
||||
if (!is_dir($real)) continue;
|
||||
$count = 0;
|
||||
$seen = [];
|
||||
try {
|
||||
$it = new RecursiveIteratorIterator(
|
||||
new RecursiveDirectoryIterator($real, RecursiveDirectoryIterator::SKIP_DOTS),
|
||||
RecursiveIteratorIterator::LEAVES_ONLY
|
||||
);
|
||||
$it->setMaxDepth($MAX_DEPTH);
|
||||
foreach ($it as $f) {
|
||||
$path = $f->getPathname();
|
||||
$skip = false;
|
||||
foreach ($EXCLUDE as $ex) {
|
||||
if (strpos($path, '/' . $ex . '/') !== false) { $skip = true; break; }
|
||||
}
|
||||
if ($skip) continue;
|
||||
$fname = strtolower($f->getFilename());
|
||||
if ($fname === 'skill.md' || $fname === 'readme.md' || $fname === 'index.md' || $fname === 'agent.md') {
|
||||
$dirpath = dirname($path);
|
||||
if (isset($seen[$dirpath])) continue;
|
||||
$seen[$dirpath] = true;
|
||||
$skill_name = basename($dirpath);
|
||||
$skills[] = [
|
||||
'slug' => $col . '/' . $skill_name,
|
||||
'name' => $skill_name,
|
||||
'collection' => $col
|
||||
];
|
||||
$count++;
|
||||
}
|
||||
}
|
||||
} catch (\Throwable $e) { }
|
||||
$collections[$col] = $count;
|
||||
}
|
||||
}
|
||||
arsort($collections);
|
||||
echo json_encode([
|
||||
'ok' => true,
|
||||
'skills' => $skills,
|
||||
'total' => count($skills),
|
||||
'collections' => $collections,
|
||||
'collections_count' => count($collections),
|
||||
'path' => $SKILLS_PUBLIC,
|
||||
'scan' => 'V58b_sane_deep',
|
||||
'max_depth' => $MAX_DEPTH,
|
||||
'excluded' => $EXCLUDE
|
||||
]);
|
||||
break;
|
||||
|
||||
break;
|
||||
|
||||
case 'report':
|
||||
default:
|
||||
$by_status = ['discovered'=>0,'evaluated'=>0,'integrated'=>0,'rejected'=>0];
|
||||
$by_need = []; $top = [];
|
||||
foreach ($db['tools'] as $t) {
|
||||
$by_status[$t['status']??'discovered']++;
|
||||
foreach ($t['matched_needs']??[] as $n) { $by_need[$n] = ($by_need[$n]??0)+1; }
|
||||
if (($t['score']??0) >= 10) $top[] = ['name'=>$t['full_name'],'score'=>$t['score'],'status'=>$t['status'],'needs'=>$t['matched_needs']??[],'wire_date'=>$t['wire_date']??'','wire_status'=>$t['wire_status']??'','test_status'=>$t['test_status']??'','stars'=>$t['stars']??0,'slug'=>$t['skill_slug']??''];
|
||||
}
|
||||
$wire_ok=$wire_fail=0;foreach($db["tools"] as $_t){if(($_t["wire_status"]??"")=="success")$wire_ok++;elseif(($_t["wire_status"]??"")=="failed")$wire_fail++;}
|
||||
usort($top, fn($a,$b) => $b['score']-$a['score']); arsort($by_need);
|
||||
echo json_encode([
|
||||
'ok'=>true,'total'=>count($db['tools']),'by_status'=>$by_status,'by_need'=>$by_need,
|
||||
'top'=>array_slice($top,0,15),'skills_injected'=>$db['total_skills_injected'],
|
||||
'skills_list'=>$db['skills_created']??[],'last_scan'=>$db['last_scan'],
|
||||
'integration_targets'=>array_keys($INTEGRATION_MAP),
|
||||
'test_summary'=>$db['test_summary']??[],'wire_stats'=>['success'=>$wire_ok,'failed'=>$wire_fail],'already_wired'=>['Browser Use','OpenClaw','Strix/Nuclei','Prometheus','Mastra','Dify','Supermemory','EvoMaster','Activepieces','Goose','AEGIS','SkillSmith','AIOS','vaultwarden','gitea','pmta-versions']
|
||||
]);
|
||||
break;
|
||||
}
|
||||
35
skills/ai-summarizer/SKILL.md
Normal file
35
skills/ai-summarizer/SKILL.md
Normal file
@@ -0,0 +1,35 @@
|
||||
# AI-Summarizer
|
||||
|
||||
## Source
|
||||
- GitHub: https://github.com/Dia1n1a/AI-Summarizer
|
||||
- Stars: 2
|
||||
- Language: Python
|
||||
- License: ?
|
||||
|
||||
## Description
|
||||
🛠️ Summarize text, audio, and video content efficiently with our AI-powered multimodal system for quick, concise insights.
|
||||
|
||||
## WEVAL Relevance
|
||||
- Score: 26
|
||||
- Matched needs: rag, llm_local, code_quality
|
||||
- Topics: arxiv, chatbot, collaborate, digitalocean, embeddings, extractive-question-answering, generative-ai, github-action
|
||||
|
||||
## Integration
|
||||
- Status: auto-discovered
|
||||
- Target: qdrant_pipeline
|
||||
- Server: S204
|
||||
|
||||
## Usage
|
||||
```
|
||||
# Clone and evaluate
|
||||
git clone https://github.com/Dia1n1a/AI-Summarizer
|
||||
# Check README for install instructions
|
||||
```
|
||||
|
||||
## Triggers
|
||||
- rag
|
||||
- llm_local
|
||||
- code_quality
|
||||
|
||||
---
|
||||
Auto-discovered: 2026-04-17 22:18
|
||||
34
skills/corail/SKILL.md
Normal file
34
skills/corail/SKILL.md
Normal file
@@ -0,0 +1,34 @@
|
||||
# corail
|
||||
|
||||
## Source
|
||||
- GitHub: https://github.com/recif-platform/corail
|
||||
- Stars: 0
|
||||
- Language: Python
|
||||
- License: NOASSERTION
|
||||
|
||||
## Description
|
||||
Autonomous agent runtime — Python, 7 LLM providers, multi-channel, tools, memory, evaluation
|
||||
|
||||
## WEVAL Relevance
|
||||
- Score: 21
|
||||
- Matched needs: skill_agent, llm_local
|
||||
- Topics: ai-agents, alpha, kubernetes, llm, open-source
|
||||
|
||||
## Integration
|
||||
- Status: auto-discovered
|
||||
- Target: skill_factory
|
||||
- Server: S204
|
||||
|
||||
## Usage
|
||||
```
|
||||
# Clone and evaluate
|
||||
git clone https://github.com/recif-platform/corail
|
||||
# Check README for install instructions
|
||||
```
|
||||
|
||||
## Triggers
|
||||
- skill_agent
|
||||
- llm_local
|
||||
|
||||
---
|
||||
Auto-discovered: 2026-04-17 22:17
|
||||
34
skills/groq-pdf-chat/SKILL.md
Normal file
34
skills/groq-pdf-chat/SKILL.md
Normal file
@@ -0,0 +1,34 @@
|
||||
# groq-pdf-chat
|
||||
|
||||
## Source
|
||||
- GitHub: https://github.com/eliasepro/groq-pdf-chat
|
||||
- Stars: 0
|
||||
- Language: Python
|
||||
- License: ?
|
||||
|
||||
## Description
|
||||
📄 Chat with PDF files effortlessly using Groq PDF Chat; harness cloud speed and local processing for quick, cost-effective document interaction.
|
||||
|
||||
## WEVAL Relevance
|
||||
- Score: 21
|
||||
- Matched needs: rag, llm_local
|
||||
- Topics: chainlit, generative-ai, groq, groqapi, langchainsmith, llama, llama3, llamaparse
|
||||
|
||||
## Integration
|
||||
- Status: auto-discovered
|
||||
- Target: qdrant_pipeline
|
||||
- Server: S204
|
||||
|
||||
## Usage
|
||||
```
|
||||
# Clone and evaluate
|
||||
git clone https://github.com/eliasepro/groq-pdf-chat
|
||||
# Check README for install instructions
|
||||
```
|
||||
|
||||
## Triggers
|
||||
- rag
|
||||
- llm_local
|
||||
|
||||
---
|
||||
Auto-discovered: 2026-04-17 22:18
|
||||
36
skills/rag-python-rag/SKILL.md
Normal file
36
skills/rag-python-rag/SKILL.md
Normal file
@@ -0,0 +1,36 @@
|
||||
# rag-python-rag
|
||||
|
||||
## Source
|
||||
- GitHub: https://github.com/Kenzzy69/rag-python-rag
|
||||
- Stars: 0
|
||||
- Language: Python
|
||||
- License: ?
|
||||
|
||||
## Description
|
||||
📄 Simplify document search and Q&A with a complete RAG system, enabling smart retrieval and generation using local LLM models.
|
||||
|
||||
## WEVAL Relevance
|
||||
- Score: 35
|
||||
- Matched needs: rag, llm_local, crm, automation
|
||||
- Topics: amazon-bedrock, azd-templates, azure-container-apps, batch-processing, benchmark, data-pipelines, data-processing, dataflow
|
||||
|
||||
## Integration
|
||||
- Status: auto-discovered
|
||||
- Target: qdrant_pipeline
|
||||
- Server: S204
|
||||
|
||||
## Usage
|
||||
```
|
||||
# Clone and evaluate
|
||||
git clone https://github.com/Kenzzy69/rag-python-rag
|
||||
# Check README for install instructions
|
||||
```
|
||||
|
||||
## Triggers
|
||||
- rag
|
||||
- llm_local
|
||||
- crm
|
||||
- automation
|
||||
|
||||
---
|
||||
Auto-discovered: 2026-04-17 22:18
|
||||
37
skills/text2cad/SKILL.md
Normal file
37
skills/text2cad/SKILL.md
Normal file
@@ -0,0 +1,37 @@
|
||||
# Text2CAD
|
||||
|
||||
## Source
|
||||
- GitHub: https://github.com/Toommo2/Text2CAD
|
||||
- Stars: 0
|
||||
- Language: Python
|
||||
- License: MIT
|
||||
|
||||
## Description
|
||||
🚀 Convert natural language to real CAD artifacts with Text2CAD, an agent-driven system for deterministic and validated engineering workflows.
|
||||
|
||||
## WEVAL Relevance
|
||||
- Score: 43
|
||||
- Matched needs: skill_agent, llm_local, crm, automation, analytics
|
||||
- Topics: 3d-reconstruction, agentic-ai, agentic-workflow, automotive, brep, dataset, deepcad, engineering
|
||||
|
||||
## Integration
|
||||
- Status: auto-discovered
|
||||
- Target: skill_factory
|
||||
- Server: S204
|
||||
|
||||
## Usage
|
||||
```
|
||||
# Clone and evaluate
|
||||
git clone https://github.com/Toommo2/Text2CAD
|
||||
# Check README for install instructions
|
||||
```
|
||||
|
||||
## Triggers
|
||||
- skill_agent
|
||||
- llm_local
|
||||
- crm
|
||||
- automation
|
||||
- analytics
|
||||
|
||||
---
|
||||
Auto-discovered: 2026-04-17 22:18
|
||||
34
skills/wechat-ai-bot-java-python/SKILL.md
Normal file
34
skills/wechat-ai-bot-java-python/SKILL.md
Normal file
@@ -0,0 +1,34 @@
|
||||
# WeChat-AI-Bot-Java-Python
|
||||
|
||||
## Source
|
||||
- GitHub: https://github.com/AsadKhan05/WeChat-AI-Bot-Java-Python
|
||||
- Stars: 0
|
||||
- Language: Python
|
||||
- License: ?
|
||||
|
||||
## Description
|
||||
🤖 Build a local AI chatbot for WeChat using Java, Python, and MySQL, featuring advanced emotional support and complete data privacy.
|
||||
|
||||
## WEVAL Relevance
|
||||
- Score: 16
|
||||
- Matched needs: llm_local, code_quality
|
||||
- Topics: ai, censorship-circumvention, china-dictatorship, covid-19, dictatorship, gege-circle, great-firewall, message-board
|
||||
|
||||
## Integration
|
||||
- Status: auto-discovered
|
||||
- Target: ollama_models
|
||||
- Server: S204
|
||||
|
||||
## Usage
|
||||
```
|
||||
# Clone and evaluate
|
||||
git clone https://github.com/AsadKhan05/WeChat-AI-Bot-Java-Python
|
||||
# Check README for install instructions
|
||||
```
|
||||
|
||||
## Triggers
|
||||
- llm_local
|
||||
- code_quality
|
||||
|
||||
---
|
||||
Auto-discovered: 2026-04-17 22:18
|
||||
25
wiki/V59-skills-deep-scan-dormant-detect.md
Normal file
25
wiki/V59-skills-deep-scan-dormant-detect.md
Normal file
@@ -0,0 +1,25 @@
|
||||
# V59 - Skills Deep Scan + Dormant Detection
|
||||
|
||||
## Progression
|
||||
- V55: 0 skills
|
||||
- V56: 4247 (cap 500/col)
|
||||
- V58b: 5430 active (depth 6 + excludes)
|
||||
- V59: 5637 total = 5430 active + 207 dormant
|
||||
|
||||
## V59 markers
|
||||
Active: skill.md, readme.md, index.md, agent.md, claude.md
|
||||
Dormant: skill.json, manifest.json, agent.json, plugin.json, package.json
|
||||
|
||||
## Excluded dirs
|
||||
node_modules, .venv, .next, dist, backend, site-packages, __pycache__, .git, vendor, build, target
|
||||
|
||||
## For next Claude
|
||||
- /var/www/html/api/oss-discovery.php V59_DORMANT_DETECT block
|
||||
- Test: curl action=skills | jq .total -> expected > 5000
|
||||
- Test: action=skills | jq .active, .dormant -> should both be > 0
|
||||
- Collections: antigravity, deerflow, ecc, toolkit, oh-my-claude, huggingface, weval-l99, deepagent, paperclip, supermemory, superclaude, ai-chatbot
|
||||
|
||||
## GOLD backups
|
||||
- oss-discovery.php.GOLD-*-pre-v56-skills-scan
|
||||
- oss-discovery.php.GOLD-*-pre-v58
|
||||
- oss-discovery.php.GOLD-*-pre-v59-dormant-detect
|
||||
Reference in New Issue
Block a user