ENGINEERING
Warn authors when a PR is too large to review well
On every opened or updated PR, checks the diff size and number of files; if it exceeds your limits, it posts a friendly review-quality warning as a PR comment suggesting…
How it runs
The automated pipeline, trigger to output.
- TriggerPR opened or updatedGitHub
- ActionFetch PR diff size and file countGitHub
- LogicOver size threshold?
- OutputComment a split suggestion on the PRGitHub
What it does
When a pull request is opened or pushed to, the workflow measures total changed lines and files touched. If the PR is larger than your review-friendliness thresholds, it adds a single comment on the PR explaining that oversized PRs get slower, lower-quality reviews and suggesting how to break it up. Small PRs pass through silently.
When to use it
When large PRs are hurting review quality and you want a consistent, automated guardrail instead of reviewers individually complaining about diff size. Works well as a soft nudge before you enforce hard limits in CI.
How it works
- 1A GitHub webhook fires when a PR is opened or synchronized.
- 2The workflow fetches the PR's additions, deletions, and changed file count.
- 3A logic step compares those against your configured limits (for example, 400 lines or 20 files).
- 4If under the limits, the run ends with no action.
- 5If over, it posts or updates a single bot comment on the PR recommending a split, including the current size numbers so the author sees exactly how far over they are.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 3Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 4Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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