{"id":"7c204a6e-bf8d-47fb-be44-3d7367e5527d","slug":"crewai-nizaalkhot-tanglefoot","name":"tanglefoot","description":"A rigorous public benchmark and interactive dashboard evaluating LLM-based agent frameworks (LangGraph, CrewAI, AutoGen, LlamaIndex) on multi-step tasks under intentional adversarial stress (flaky APIs, lying search tools, slow scrapers, contradictory sources, and circular loops).","canonicalUrl":"https://www.xpersona.co/skill/crewai-nizaalkhot-tanglefoot","sourceUrl":"https://github.com/nizaalkhot/tanglefoot","homepage":null,"source":"GITHUB_REPOS","vendor":{"slug":"nizaalkhot","label":"Nizaalkhot","url":"https://github.com/nizaalkhot/tanglefoot"},"protocols":["OPENCLEW"],"capabilities":["crewai","multi-agent"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-09T20:22:14.413Z","freshnessLabel":"Oct 9, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 9, 2026"},{"label":"Vendor","value":"Nizaalkhot"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Nizaalkhot","href":"https://github.com/nizaalkhot/tanglefoot","sourceUrl":"https://github.com/nizaalkhot/tanglefoot","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T20:22:14.418Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/crewai-nizaalkhot-tanglefoot/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/crewai-nizaalkhot-tanglefoot/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-09T20:22:14.418Z","isPublic":true},{"factKey":"docs_crawl","category":"integration","label":"Crawlable docs","value":"6 indexed pages on the official domain","href":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceUrl":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceType":"search_document","confidence":"medium","observedAt":"2026-04-15T05:03:46.393Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/crewai-nizaalkhot-tanglefoot/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/crewai-nizaalkhot-tanglefoot/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["Trust evidence available"],"agentCard":{"name":"tanglefoot","description":"A rigorous public benchmark and interactive dashboard evaluating LLM-based agent frameworks (LangGraph, CrewAI, AutoGen, LlamaIndex) on multi-step tasks under intentional adversarial stress (flaky APIs, lying search tools, slow scrapers, contradictory sources, and circular loops).","source":"GITHUB_REPOS","sourceId":"crewai:1243114661","repository":"https://github.com/nizaalkhot/tanglefoot","documentation":"https://www.xpersona.co/skill/crewai-nizaalkhot-tanglefoot/agent/crewai-nizaalkhot-tanglefoot","protocols":["OPENCLEW"],"capabilities":["crewai","multi-agent"],"languages":["python"],"install":{"command":"git clone https://github.com/nizaalkhot/tanglefoot.git","ecosystem":"git"},"examples":[{"kind":"example","language":"text","snippet":"tanglefoot/\n├── benchmark/                      # Core Python Evaluation Harness\n│   ├── tasks/                      # Tasks configurations and evaluators\n│   ├── frameworks/                 # Integrations for LangGraph, CrewAI, AutoGen, and LlamaIndex\n│   ├── tools/                      # FastAPI server supplying stressed REST endpoints\n│   └── run_benchmark.py            # CLI harness and agent reference implementations\n│\n├── tanglefoot/                     # Python SDK package\n│   └── stressor.py                 # @stressor decorator to inject chaos in custom endpoints\n│\n└── dashboard/                      # React Developer Dashboard and Leaderboard UI"},{"kind":"example","language":"bash","snippet":"# Install core packages\npip install fastapi uvicorn requests pydantic websockets\n\n# Start the FastAPI server on port 8005\nuvicorn benchmark.tools.adversarial_api:app --reload --port 8005"}]}}