
from skills7
Run a data-backed audit of AGENTS.md/CLAUDE.md files: surface redundant rules, run A/B evals to prove which instructions are unnecessary, and recommend concise
Roast My AGENTS.md performs a two-stage audit of repository instruction files (AGENTS.md, CLAUDE.md). First it runs a static analysis to identify bloat, duplication, and token-tax. Then it can run controlled A/B evaluations to prove which rules are redundant (non-discriminating) and which genuinely change agent behavior. The result is a ranked list of guilty rules, recommended fixes, and token-savings estimates.
Use this skill when you suspect your AGENTS.md or CLAUDE.md is noisy or when you want evidence before pruning configuration. Trigger examples: 'roast my agents.md', 'audit my CLAUDE.md', 'prove my rules are useless', or when preparing a major rewrite of instruction files.
Designed for developer-facing agent frameworks and code assistants: Claude Code, Cursor, Codex/GitHub Copilot-style tooling, and other agent systems that read AGENTS.md/CLAUDE.md.
Roast My AGENTS.md is a well-crafted skill that audits AI instruction files for bloat, redundancy, and anti-patterns. The SKILL.md is detailed with three clear phases (static roast, A/B evidence, verdict). The bundled roast-audit.js script is a thorough static analyzer using only Node built-ins, but was skipped by the runner due to .js extension. No security concerns — no network calls, no credentials, no destructive commands.
Innovative skill with a unique evidence-based approach to auditing instruction files. The roast/humor angle is engaging and the A/B testing methodology is well-designed. Code quality is strong — clean JS with good error handling and no dependencies. Architecture follows the skill spec well. Main gap is the .js script can't run in the current audit runner which only supports .py.