refresh-readme

Automate README freshness audits by running a Python script that checks for dead links, stale version pins, and editorial standards against project benchmarks to prevent documentation rot. This process operates on a daily cadence or manual trigger to maintain front-page accuracy.

README documentation rot occurs when project front-page content becomes inaccurate or stale over time. You need an automated audit after version bumps or releases to verify that front-page claims, links, and version pins remain valid and aligned with repository state.

Yes, you need Python to execute the freshness auditor and validate the document against the repository state. The Python script performs the link checking, version pin verification, and editorial policy enforcement required for README quality control.

Enforce editorial standards by applying strict policies regarding jargon density, audience appeal, and front-page focus during the audit process. The freshness auditor evaluates the README against these benchmarks to maintain high-quality, concise communication.

The best way to verify README claims after a version bump is to run an automated freshness audit that checks front-page content against repository state. This validates links and version pins, re-stamps the freshness marker, and commits the updated documentation.

Yes, you can run README maintenance checks on a daily cadence or trigger them manually. The automated audit process operates continuously to ensure front-page content remains aligned with project benchmarks and documentation policies without manual intervention.