PR Review

Generate severity-tagged findings, inline comments, and verdicts for pull requests.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/swarm-ai-research/aeon --skill pr-review-swarm-ai-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: PR Review
Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/pr-review
Command: npx skills add https://github.com/swarm-ai-research/aeon --skill pr-review-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Auto-review open PRs with severity-tagged findings, inline comments, and a one-line verdict to streamline code reviews.

Core Features & Use Cases

  • Severity-tagged, line-specific findings with concise justification for each PR.
  • Inline comments and a one-line verdict to accelerate triage and decisions across repositories.
  • Context-aware review rules including memory context and policy-driven gates to improve review quality.

Quick Start

Run the PR review workflow on an open PR to generate severity-tagged findings and a one-line verdict.

Frequently Asked Questions about PR Review

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

FAQPage Schema
How do I automate code review with severity-tagged findings on open pull requests?▼

Automate code review by reading PR metadata, diffs, and checks to generate severity-tagged, line-specific findings with concise justifications. The review consults memory and policy context to output structured findings and a one-line verdict suitable for automated posting.

What is the best way to triage high-risk pull requests across multiple repositories?▼

Triage high-risk pull requests by applying context-aware review rules across multiple repositories to prioritize changes. The automated review generates a one-line verdict and inline comments to accelerate decisions on open PRs.

Can I enforce lightweight quality gates using inline comments on a PR diff?▼

You can enforce lightweight quality gates by generating inline comments and severity-tagged findings from the PR diff analysis. Policy-driven context is applied during the review to produce structured results for automated posting and human review.

Does automated PR review work without adding external dependencies or components?▼

Automated PR review works without external dependencies or components. It reads existing PR metadata, diffs, and checks directly, consulting memory and policy context to produce severity-tagged findings and a one-line verdict.

How does diff analysis generate line-specific findings for code review?▼

Diff analysis generates line-specific findings by evaluating the PR diff against memory and policy-driven context. It outputs concise justifications for each finding, tagged by severity, to accelerate triage and decisions across repositories.