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• tar-engine

  qingxuantang

  A

  license

  -Not graded

  quality

  B

  maintenance

  Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.

  Updated 2 months ago (2026-07-23 03:35 UTC)

  2

  Apache 2.0

• agent-sec-mcp

  sudo-ai-git

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables authorized security auditing of AI-agent supply chains and agent-facing surfaces: deterministic local skill-bundle audits against eight attack patterns, secrets scanning, and scope-gated read-only recon of agent endpoints and MCP surfaces.

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  MIT
• 

  mirage-mcpofficial

  Mirage-Source

  F

  license

  -Not graded

  quality

  B

  maintenance

  Enables auditing an AI agent's guardrails by providing adversarial test prompts and scoring responses against known refusal/guardrail patterns.

  Updated 11 days ago (2026-09-10 14:16 UTC)

  -

• mcp-skill-sec

  sudo-ai-git

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables deterministic auditing of agent skills, system prompts, and downloaded file collections against eight malicious-skill supply-chain patterns, returning line-numbered findings and pass/flag verdicts without using an LLM or network calls.

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  MIT

• Gemini Upgrade QA MCP

  clauxel

  A

  license

  -Not graded

  quality

  C

  maintenance

  Catch Gemini model upgrade regressions before they reach customers by running evals, comparing outputs, detecting regressions, and exporting audit receipts.

  Updated 4 months ago (2026-05-20 08:29 UTC)

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• Plugin Health Auditor MCP

  AMATSUGI-120

  A

  license

  -Not graded

  quality

  B

  maintenance

  Provides audit_plugin_health and prepare_semantic_review tools for deterministic inspection of Codex plugins and Agent Skills, generating evidence-backed reports without executing or transmitting target code.

  Updated 2 months ago (2026-07-17 03:52 UTC)

  1

  MIT