Summary
This is a heavyweight PR review system that runs five parallel analysis passes with shuffled diffs to reduce ordering bias, then uses majority voting to filter findings. A separate Claude Opus instance validates results without seeing the original passes. It posts inline GitHub comments and can generate autofix commits with test validation and scope checks. The interesting part is the learning loop: after PRs merge, you run a resolve command to classify whether findings were actually fixed, then the system adjusts category weights to suppress noisy issue types over time. Requires gh CLI and assumes you want a thorough, opinionated review process rather than a quick scan. Overkill for small changes, but if you're serious about catching bugs in high-stakes PRs and willing to let it learn from your merge decisions, it's built for that.
Install to Claude Code
npx -y skills add pproenca/dot-skills --skill bug-review --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
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Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
