What problem does it solve? Public-facing documents like READMEs and release notes often contain claims that are outdated, unsupported, or unverifiable, and manually auditing them claim-by-claim is slow and inconsistent. This Skill performs a read-only audit that splits every statement into atomic claims and labels each one against the evidence you supply. ## Core Features & Use Cases - Atomic Claim Triage: Decomposes composite sentences into single-assertion claims so each receives exactly one label, and excludes subjective statements from labeling. - Ordered Label Decision Tree: Assigns one of four labels (needs-human, stale-suspected, verified, unsupported) via a strict gate order, with exactly one reason for every unsupported claim. - Hard Read-Only Boundaries: Runs no commands, writes no fixes, and performs no code or security review; claims requiring execution are labeled needs-human with the exact command named. - Use Case: Before publishing a release note, supply the note plus your manifest, CI logs, and artifact listings, and receive a three-section report showing which claims are verified, which are stale, and which lack evidence. ## Quick Start Audit the attached README against the supplied pyproject.toml and CI logs and report which claims are verified, stale, or unsupported.