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genpark-agent-deep-research-fact-checker-skill

mcp
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  • License — License: MIT
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SUMMARY

Multi-source research fact-checking and cross-referencing validator detecting hallucinations, corroborating claims, and scoring evidence confidence

README.md

Deep Research Fact-Checker Skill for Autonomous Agents

MCP Compatible
Python 3.9+
License: MIT
Zero External Dependencies

Critical safety and anti-hallucination engine for autonomous research agents. Cross-references extracted factual claims against multiple independent source documents, computing verification scores and identifying ungrounded claims.

Capabilities

  • Multi-Source Corroboration: Checks claims against multiple texts to ensure broad factual consensus.
  • Ungrounded Claim Detection: Flags statements with low lexical overlap or zero citations.
  • Confidence Scoring: Returns deterministic, normalized confidence metrics (0.0 to 1.0).

MCP Server Integration

python mcp_server.py

Available MCP Tools

  • verify_claim: Evaluate claim veracity across a dictionary of source documents.

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