Use when you want GitHub Copilot to review a PR and automatically address its feedback within the current agent session. For any reviewer (human or bot), use pr-review-loop; for a fresh-context-per-comment approach, use ralph-wiggum-loop.
Quickly install copilot-review-loop AI skill to your development environment via command line
Source: xpepper/pr-review-agent-skill.
Automate an iterative Copilot-driven review loop: trigger a GitHub Copilot review, address its feedback one comment at a time, then re-trigger Copilot to review again. Repeat up to 2 cycles until all critical issues are resolved.
This is an in-session loop — one long agent context that iterates internally. It is not the Ralph Wiggum pattern, which is an external shell loop that spawns a fresh agent session per comment. For that, see the ralph-wiggum-loop skill instead.
Inspect the project for safeguard conventions by checking these files (if they exist):
Use when you want GitHub Copilot to review a PR and automatically address its feedback within the current agent session. For any reviewer (human or bot), use pr-review-loop; for a fresh-context-per-comment approach, use ralph-wiggum-loop. Source: xpepper/pr-review-agent-skill.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/xpepper/pr-review-agent-skill --skill copilot-review-loopUse when you want GitHub Copilot to review a PR and automatically address its feedback within the current agent session. For any reviewer (human or bot), use pr-review-loop; for a fresh-context-per-comment approach, use ralph-wiggum-loop. Source: xpepper/pr-review-agent-skill.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/xpepper/pr-review-agent-skill --skill copilot-review-loop Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/xpepper/pr-review-agent-skill