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genpark-agent-hallucination-fact-verifier-skill

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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents and MCP clients to decompose text into atomic claims and cross-verify them against reference knowledge to flag ungrounded claims, numerical contradictions, and hallucinated entities. Runs deterministically with zero dependencies over JSON-RPC stdio, avoiding LLM round-trips for routine verification tasks.
      7
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to cross-verify candidate claims against caller-supplied source texts, flagging hallucinations, numerical drift, entity mismatches, contradictions, and unverified assertions. It returns sentence-level verdicts with matched evidence snippets and machine-readable factual grounding confidence scores, exposed over MCP stdio, HTTP REST, and A2A discovery routes.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents and users to extract factual claims from text, URLs, files, or AI answers and judge each against live web sources with confidence, evidence, and citations. It also integrates with MCP-capable clients so claims can be checked before an answer is shown.
      35 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Extracts verifiable, decontextualized factual claims from text using a research-based four-stage pipeline (sentence splitting, selection, disambiguation, and decomposition). Integrates with MCP clients to enable claim extraction and verification workflows.
      21
      Apache 2.0