pr-review

Review GitHub pull requests and report high-confidence findings with severity and test-risk summaries.

Updated May 6, 2026
One-click install
npx skills add https://github.com/UnionStreetAI/unionstreet --skill pr-review-unionstreetai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-review
Source: https://github.com/UnionStreetAI/unionstreet/tree/main/plugins/github/skills/pr-review
Command: npx skills add https://github.com/UnionStreetAI/unionstreet --skill pr-review-unionstreetai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Reviewing pull requests manually is time-consuming and inconsistent, and low-signal feedback often buries the issues that actually matter. This Skill produces focused, high-confidence review findings on GitHub pull requests so reviewers can act on real bugs instead of noise. ## Core Features & Use Cases - Diff-Based Review: Reads PR metadata, changed files, and diffs through the gh CLI and local git, reviewing only changed behavior. - Confidence-Scored Findings: Scores each candidate finding from 0 to 100 and keeps only those at or above a configurable threshold (default 80), filtering out speculative noise. - Structured Output: Reports findings with severity, confidence, file and line references, impact rationale, and the smallest reasonable fix, followed by test gaps and a summary. - Use Case: Before merging a feature branch, ask for a review of the open PR and receive a concise list of correctness bugs, security regressions, and missing tests suitable for posting as a PR comment. ## Quick Start Review the open pull request in this repository and list any high-confidence findings with file and line references.

Frequently Asked Questions about pr-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review a GitHub pull request with an AI assistant?▼

Point the reviewer at the repository and PR number or branch. It reads PR metadata and the diff via gh pr view, gh pr diff, and git diff, then reports findings with severity, confidence scores, and file and line references.

What kinds of issues does automated PR review detect?▼

The review covers correctness bugs introduced by the diff, security and secret-handling regressions, missing error handling, test gaps for changed behavior, weakened type or schema invariants, and documentation drift.

Can I adjust the confidence threshold for review findings?▼

Yes, each candidate finding is scored from 0 to 100 and only findings at or above the configured threshold are kept. The default threshold is 80, which filters out speculative or low-signal comments.

When is a pull request review skipped automatically?▼

Review is skipped for closed PRs, draft PRs, changes affecting only generated files, or when an equivalent review was previously posted. This avoids redundant or low-value feedback.

What tools are required to run GitHub PR review?▼

The workflow relies on the GitHub CLI (gh) for PR metadata and diffs, plus local git for branch comparisons. No additional scripts or packages are bundled with the Skill.