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Penetration testing for AI agents — find, prove, and measure cross-server confused-deputy / prompt-injection exfiltration chains in an MCP tool mesh. Local-first, bring-your-own-model.
renfield is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 35/100. Penetration testing for AI agents — find, prove, and measure cross-server confused-deputy / prompt-injection exfiltration chains in an MCP tool mesh. Local-firs. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding renfield to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/SYCO7/renfield.gitReview the upstream source before running this command.
Installs a Python package directly from a remote URL instead of PyPI.
pip install git+httpDispute this flag?Contains language that tries to override an agent's prior instructions (prompt injection).
ignore previous instructionsDispute this flag?Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "SYCO7/renfield"
}Penetration testing for AI agents — find, prove, and measure cross-server confused-deputy / prompt-injection exfiltration chains in an MCP tool mesh. Local-first, bring-your-own-model.