SUMMARY AI要約 by gpt-5-mini
LLM Output Audit is a portable toolkit for auditing AI-generated long-form content (research reports, docs, READMEs, blog drafts) before saving or publishing. It’s used by engineers, writers, reviewers, and agent workflows that need repeatable factual checks. It ships as a Python CLI, an stdio MCP server, and lightweight adapters for Hermes/Claude/Gemini/Codex-style agents. Key features: extracts atomic claims (DATE, NUMBER, FEATURE, REQUIREMENT, COMPAT, WORKFLOW, EVAL, CAUSAL, etc.); routes each claim to the most authoritative evidence source (GitHub, Wikipedia, arXiv, Semantic Scholar, PyPI, npm, DuckDuckGo, local LLM Wiki); verifies evidence in parallel and scores it by authority, directness, and freshness; supports audit modes (fast/spot/draft/full/auto) to balance latency vs depth; performs risk-gated consistency and conditional adversarial checks; and generates actionable edit suggestions and citations rather than binary verdicts.
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Happy hacking emacs!
日付
| GitHub作成日 | 2026-05-09 |
| 最終Push | 2026-05-09 |
| 当サイト初検出 | 2026-05-09 |
| 最終取得 | 2026-05-09 18:15 |
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