What problem does it solve? AI instruction files like CLAUDE.md and AGENTS.md accumulate rules that restate model defaults, contradict each other, duplicate guidance, or preserve stale one-off workarounds, wasting context tokens and degrading agent behavior. ## Core Features & Use Cases - Six-Test Audit: Evaluates every rule against default behavior, contradiction, redundancy, one-off fixes, vagueness, and HOW-versus-WHAT reasoning choreography. - Seven-Way Classification: Labels each rule as CUT, RESOLVE, MERGE, EVALUATE, SHARPEN, MOVE, or KEEP with a structured report including estimated token savings. - Two Workflows: A full Audit workflow for entire instruction hierarchies and a QuickCheck workflow for a single file or inline rule block. - Use Case: Point it at a repository's CLAUDE.md and AGENTS.md files to identify which instructions are load-bearing contracts and which are scaffolding that a more capable model no longer needs. ## Quick Start Audit the CLAUDE.md and AGENTS.md files in this repository for over-prompting and report which rules to cut, merge, or keep.