PR Review Loop
VerifiedAutonomous PR review loop with Greptile. Use when an agent creates a PR and needs to autonomously handle code review feedback — reading Greptile reviews, fixing issues, pushing fixes, re-triggering review, and auto-merging when score is 4/5+. Trigger on commands like "pr review {url}", "review my PR", or when a Greptile review webhook/poll delivers feedback.
$ Add to .claude/skills/ About This Skill
# PR Review Loop
Autonomous cycle: Greptile reviews PR → agent fixes feedback → pushes → re-triggers → repeats until score ≥ 4/5 or max rounds.
Quick Start
When triggered with a PR URL or review payload:
```bash # Run the review loop bash scripts/pr-review-loop.sh <owner/repo> <pr-number> ```
Or invoke steps manually — see below.
Workflow
1. Fetch Review
```bash # Get latest Greptile review gh api "/repos/{owner}/{repo}/pulls/{pr}/reviews" \ --jq '[.[] | select(.user.login == "greptile-apps[bot]")] | last'
# Get inline comments gh api "/repos/{owner}/{repo}/pulls/{pr}/comments" \ --jq '[.[] | select(.user.login == "greptile-apps[bot]")]' ```
2. Parse Score
Look for confidence/quality score in review body. Greptile typically includes a score like `Score: X/5` or `Confidence: X/5`. Extract it:
- Score ≥ 4/5 → auto-merge
- Score < 4/5 → fix issues
- No score found → treat as needing fixes if there are comments, otherwise merge
3. Auto-Merge (score ≥ 4)
```bash gh pr merge <number> --merge --delete-branch --repo <owner/repo> ```
4. Fix Issues (score < 4)
- For each Greptile comment:
- Read the file and line referenced
- Understand the feedback
- Apply the fix
- Stage changes
Commit with a descriptive message listing each fix: ``` Address Greptile review feedback (round N)
- Fix X in path/to/file.ts
- Fix Y in path/to/other.ts
- Improve Z per reviewer suggestion
- ```
Push and re-trigger: ```bash git push gh pr comment <number> --repo <owner/repo> --body "@greptileai review" ```
5. Track State
Maintain `review-state.json` in workspace: ```json { "owner/repo#123": { "rounds": 2, "maxRounds": 5, "lastScore": 3, "sameScoreCount": 1 } } ```
- Update after each round. Check exit conditions:
- rounds ≥ 5 → merge anyway, notify Master
- sameScoreCount ≥ 2 (same score 2 rounds in a row) → merge anyway, notify Master
6. Escalation
- Architectural decisions (review mentions architecture, design patterns, breaking changes) → ping Master on Telegram, don't auto-fix
- Max rounds reached → merge + notify Master with summary
- Unclear feedback → ask Master
Command Interface
- Agents should respond to:
- `pr review <url>` — start review loop on a PR
- `pr review <owner/repo#number>` — same, by reference
- `pr status` — show active review loops and their state
References
See `references/greptile-patterns.md` for common Greptile feedback patterns and fix strategies.
Use Cases
- Perform structured code reviews with actionable feedback
- Review pull requests with systematic checklist-based analysis
- Generate professional responses to customer reviews
- Provide structured feedback with clear improvement suggestions
- Evaluate quality against defined standards and best practices
Pros & Cons
Pros
- +Solid adoption with 540+ downloads
- +Clean CLI interface integrates well with automation pipelines and AI agents
- +Leverages AI models for intelligent automation beyond simple rule-based tools
- +Configurable parameters allow tuning for different quality and cost tradeoffs
Cons
- -Depends on external AI model APIs which may incur usage costs
- -Output quality varies based on input specificity and model capabilities
FAQ
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