signalDEV Community2026-10-03
I made CodeRabbit's reviews a third less noisy with an open-source Claude Code skill
pr-proof, three open-source Claude Code skills, filters review comments by verifying each against the full codebase. On Code Review Bench's 50 PRs, it kept 72 of 77 real bugs (93.5%) and removed 76 of 223 noise issues, raising CodeRabbit's F1 score from 35.2% to 40.4%. It outputs verdicts with file and line citations before anything is changed.
- for who
- Developers who use AI code review tools like CodeRabbit and want to reduce false positives
- why now
- New open-source Claude Code skill cuts CodeRabbit noise, boosting precision, now installable via plugin marketplace.
- what changes
- Review bots' comments become claims to prove against the code, so developers can trust valid issues and ignore noise without losing real bugs
- to do
- Install the plugin with /plugin marketplace add TanayK07/pr-proof and /plugin install pr-proof@pr-proof, then ask about any PR's review comments
key points
- Kept 72 of 77 real bugs, removed 76 of 223 noise issues
- Raised CodeRabbit's F1 score from 35.2% to 40.4%
- Three skills: pr-comment-validation, pr-validation, pr-review
#ai code review#claude code#open source tool#agent workflow#code quality3 sources · confidence medium
score
score 8 out of 10. 0-10: how dense the facts are, multiplied by how much you can do with them after reading. 8+ means the topic's evidence bar is met: benchmarks and availability for a new model, amount and investors for a funding round, revenue figures for a solo-money story. Below 5 an item does not enter the digest. A press release scores 3 or less, a reprint loses 2, anything older than 14 days loses 1, a headline that misleads loses 3.
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