PR Improver: Let Your Agent Clean Up the Branch

Where this fits

You've been iterating on a feature branch for days. You open a PR, and the review comes back with 15 comments: unused imports, leftover debug statements, a subtle race condition. You fix them, push, and wait—only to get flagged again on the next round. That's the slow, manual loop pr-improver automates. It takes the branch's diff and runs an autonomous review-and-fix cycle until a PR reviewer reports zero critical or major findings. No more babysitting.

Why agents benefit

• Autonomous convergence: The skill loops a reviewer agent and a fixer subagent, so your coding agent iterates until the review is clean—no human-in-the-loop push-and-pray.
• Scoped to reality: It derives scope mechanically from the directories the branch touched, so your agent doesn't wander into unrelated code and start refactoring files you never modified.
• Usable as a workflow primitive: It's designed to be invoked mid-conversation ("clean up this branch") or as part of a larger pipeline, returning a clear outcome status.
• Configurable reviewer: You can plug in any PR-review skill or agent (defaults to pr-review-toolkit's review-pr), so you maintain your own quality bar and tooling preferences.
• Safety rails built in: Ledgering and guards inside the workflow prevent infinite loops and stop when the review passes, so you don't burn tokens or time on endless re-runs.

Practical scenarios

Pre-PR cleanup after a long feature branch

Before opening a PR, you ask your agent to "clean up this branch." The skill resolves the base branch (likely main), computes the diff, and starts the improve loop. It fixes minor style issues, removes dead code, and adjusts imports—leaving you with a review-ready PR.

Addressing reviewer feedback on an existing PR

Your PR is already open, and the reviewer left critical comments. Instead of manually tracking every finding, you say "fix this PR until review passes." The agent runs the reviewer, applies fixes, re-runs, and continues until the reviewer is satisfied—all while respecting the touched-directory scope.

Integrating into a CI pre-merge gate

You can wrap the skill in your agent workflow to run before pushing to a branch. If the loop can't get a clean review within --max-rounds N, it fails the run, alerting you to deep issues—so you never merge with known criticals.

Add it to your agent workflow

Install the skill:

npx skills add trailofbits/skills --skill pr-improver

Then invoke it in a conversation with your coding agent:

agent: review-and-fix my changes against main, max 3 rounds

The agent will resolve the branch, run the loop, and report whether the review came back clean. For more context on how this skill fits into a broader agent toolkit—including the underlying PR-review skill—check out the OpenAgentSkill entry.

Compare before adopting

Before replacing your manual review process, compare against these points:

• Quality signals: Does your existing reviewer produce actionable, specific findings? pr-improver only fixes what the reviewer catches—if the reviewer is weak, the loop is weak.
• Maintenance freshness: The repo (trailofbits/skills) is actively maintained with 6.8k stars, but verify the workflow still passes against your branch-rebased workflow.
• Alternatives: Some agents have built-in retry loops, but they rarely scope to touched directories or use a separate reviewer skill.
• Workflow fit: If you need one-time review only, don't use this—run the reviewer directly. This is for continuous improvement.

Why it is worth tracking

Given the maintenance momentum and the increasing reliance on autonomous agent loops, pr-improver represents a shift from "generate-a-fix" to "verify-until-pass". Watch for updates that improve round handling or reviewer customization. Evaluate it in a sandbox with a dirty branch to see the real-world loop efficiency before adopting it as a permanent part of your agent's toolkit.