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genpark-automated-red-teaming-adversarial-probe-skill

genpark-automated-red-teaming-adversarial-probe-skill

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Lets any MCP client, such as Claude, browse attack suites and probes, run a full assurance assessment with all reports written out, send custom prompts or multi-turn histories and get leak, PII and refusal checks back for adaptive attacks, and read findings from an earlier assessment. This enables agent-driven red-teaming of a chatbot, RAG app or AI agent without leaving the chat client.
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Enables deterministic security testing of AI agents that use tools by serving synthetic MCP environments with poisoned data, fake secrets, and privileged actions. Records agent tool calls and evaluates security invariants (e.g., canary leaks, forbidden access, approval binding) without an LLM judge or real systems.
      8
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables deterministic detection and neutralization of adversarial prompt injections and override attempts in AI agent workflows via a zero-dependency MCP server, providing structured telemetry and low-latency validation.
      8
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      AI red teaming toolkit exposed as a Model Context Protocol (MCP) server. Connect any MCP client and test AI systems for safety vulnerabilities.
      MIT