coding-agents
Greploop Apps: Force Greptile to Review Your Huge PRs
Iteratively refine large PRs/MRs until Greptile gives 5/5 with zero unresolved comments, using @greptile-apps to bypass file limits.
Where this fits
You've just opened a 200-file refactor PR. Greptile's auto-review silently skips it with "Too many files changed for review," leaving you without the AI feedback you rely on. This skill steps in: it tags @greptile-apps to trigger a review even on huge PRs, then iterates on the comments until Greptile scores it 5/5 with zero unresolved threads.
Why agents benefit
- Bypasses file-count limits – Automatically comments
@greptile-apps reviewon every push, forcing Greptile to process PRs it would otherwise ignore. - Iterates to perfection – Reads Greptile's comments, makes code changes, and re-triggers reviews until the confidence score hits 5/5 and all threads are resolved.
- Works across platforms – Handles GitHub PRs, GitLab MRs, and Perforce shelved changelists via
gh,glab, orp4CLIs. - Saves manual context switching – The agent tracks each review round, applies fixes, and updates the PR – no need for you to copy-paste feedback into your editor.
- Enforces quality gates – Acts as a deterministic loop: push → review → fix → re-review, giving you a clear signal when the code meets Greptile's standard.
Practical scenarios
Merging a monorepo-wide refactor
Your team is migrating from a custom HTTP client to a shared library across 300 files. Greptile skips the PR. With greploop-apps, the agent tags @greptile-apps, gets feedback on migration risks, and iteratively fixes edge cases until the review is clean.
Onboarding a legacy codebase
You're modernizing an old service with thousands of lines of untested code. The PR touches 150 files. The agent uses Greptile's comments to identify dead code, missing error handling, and security gaps, then patches them one by one.
Preparing a Perforce changelist for release
You've shelved a large CL that touches build scripts and deployment configs. Greptile won't auto-review it. The skill triggers @greptile-apps on the shelved CL, iterates on the feedback, and ensures the final changelist is release-ready.
Add it to your agent workflow
Install with:
npx skills add michaelshimeles/skills --skill greploop-apps
Then invoke it with the PR number:
Use greploop-apps on PR #1234. Iterate until Greptile gives 5/5 confidence with zero unresolved comments.
The agent will handle the rest: comment, review, fix, and repeat. For a deeper look at how this skill fits into a broader agent toolkit, check the OpenAgentSkill listing.
Compare before adopting
Before adding this skill, compare it with alternatives like manual Greptile comments, other AI review tools (e.g., CodeRabbit, Sourcery), or simple @greptile mentions. Assess how often your PRs exceed the file limit, whether you need Perforce support, and if the iterative loop fits your team's review culture. Also check the skill's maintenance – it's v1.3, with 332 stars, and is authored by Greptile's own team, which signals active upkeep.
Why it is worth tracking
Greptile's file-count limit is a real pain point for large PRs, and this skill directly addresses it with a pragmatic workaround. The project's steady versioning and star count suggest it's actively maintained. If you regularly ship big changes or work in monorepos, evaluating this skill could save you hours of manual review chasing. Track it now, and adopt it when your next mega-PR lands.
Featured Skill
greploop-apps
Skill by michaelshimeles