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Run and troubleshoot privacy-preserving, local DSPy RLM security audits for large legacy .NET codebases. Use when asked to scan repositories for vulnerabilities, tune RLM/tool limits, fix truncation/stall issues, or produce actionable markdown/json audit outputs without loading entire codebases into model context.
security-audit-rlm is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Security Audit RLM Use this skill to operate `audit.py` as a tool-driven RLM workflow for large repositories. Repository: `https://github.com/mitkox/megacode`. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. 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 security-audit-rlm to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install mitkox/megacodeReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Security Audit RLM Use this skill to operate `audit.py` as a tool-driven RLM workflow for large repositories. Repository: `https://github.com/mitkox/megacode` ## Execute 1. Verif