agent-receipts/ar
Agent Receipts — cryptographically signed audit trails for AI agent actions. Protocol spec, SDKs (Go, TypeScript, Python), and MCP proxy.
Agent Receipts — cryptographically signed audit trails for AI agent actions. Protocol spec, SDKs (Go, TypeScript, Python), and MCP proxy.
npx add-skill agent-receipts/arAgent Receipts — cryptographically signed audit trails for AI agent actions. Protocol spec, SDKs (Go, TypeScript, Python), and MCP proxy.
AI agent skill repo
A curated collection of plugins, skills, and agents for your LLM of choice.
Codex skill-first workflow for AI-assisted job research automation
Agentic Q&A System leveraging LangGraph and IBM Watsonx for multi-agent orchestration. Features autonomous routing, reflection loops, and self-correction to ensure verified outputs. Includes high-fidelity parsing via Docling and hybrid retrieval (BM25 + ChromaDB) for sophisticated, enterprise-ready document intelligence.
🧠 Enhance AI coordination with the Qdrant Neo4j Crawl4AI MCP server, combining vector search, knowledge graphs, and web intelligence for optimal performance.
Unified research methodology for AI agents combining ICD 203, GRADE, PRISMA, Cochrane, and five other frameworks into a 14-step evidence-based process. Anti-sycophantic by design. Implemented as a Claude Code skill with claim and query modes.