PR Risk & Reviewability Analyzer
Paste a public GitHub pull request and get an immediate estimate of its review effort, risk signals, and useful next steps.
Public repositories only. This page requests data from GitHub’s public API; no GitHub login is required.
How is pull request risk calculated?
Paste a public GitHub pull request URL to inspect its additions, deletions, changed files, repository areas, test coverage signals, and sensitive paths such as authentication, migrations, or CI.
Scopy combines those signals in a transparent planning heuristic. The result helps teams split large changes, add the right reviewers, and decide what to test before review; it is not a correctness or security guarantee.
For the reasoning behind these signals, read why diff-only code review misses bugs.
Frequently asked questions
- What makes a pull request high risk to review?
- Size and spread are the strongest signals: many changed lines across many repository areas hide bugs well. Sensitive paths such as authentication, migrations, and CI multiply the impact of a mistake, and missing test changes remove the safety net. The analyzer scores exactly those factors.
- Does the risk score mean the code has bugs?
- No. It estimates how much review effort a change deserves, not whether it is correct. A high-risk score on a clean change simply means it earns a careful reviewer; a low score on a subtle change does not excuse skipping review.
- Does the analyzer access my repository?
- It only reads public pull requests through GitHub's unauthenticated API, directly from your browser. No token, no repository access, no storage.
Try Scopy AI on your next pull request
Accurate, open-source AI code reviewer that understands your project. Self-host it or start in the cloud.