Use case · 5 min setup

Automate Pull Request Review with AI

Set up automated AI pull request reviews that catch bugs, security issues, performance regressions, and missing tests before a human reviewer opens the diff. Five-step setup using free skills from skills-hub.ai. Works with Claude Code, Cursor, Codex CLI, Copilot, Windsurf.

Short answer

Install `code-review`, `secure`, `unit-test` skills via `npx @skills-hub-ai/cli`. Add a GitHub Actions workflow that runs them on every PR. Open issues for findings or auto-comment on the diff. The whole loop runs in under 90 seconds per PR and catches the obvious issues before a human ever opens the diff.

Automated AI PR review is the 80/20 of AI in the SDLC. Setup is genuinely 5 minutes. Below is the canonical recipe, install three skills, add one workflow file, configure how to surface findings.

Step-by-step

  1. 1

    Install the three foundation skills

    code-review for correctness + style, secure for OWASP / dependency scans, unit-test for missing-test detection.

    $ npx @skills-hub-ai/cli install code-review secure unit-test
  2. 2

    Add the GitHub Actions workflow

    The github-actions skill emits a ready-to-paste .github/workflows/pr-review.yml that runs the three skills on every PR, against the diff only (fast).

    $ npx @skills-hub-ai/cli install github-actions
  3. 3

    Pick a finding handler

    Three options: (1) inline PR comments, (2) one issue per finding, (3) summary Slack message. PR comments is the default, sticks to the diff and doesn't pollute the issue tracker.

  4. 4

    Set quality gates

    Block merge on critical / high findings. Allow medium / low findings to ship with a single human approval. The gate config lives in the workflow file.

  5. 5

    Schedule a nightly sweep (optional)

    If you're on Claude Code, schedule a nightly /loop run that re-reviews the last 10 merged PRs. Catches regressions and surfaces patterns the per-PR loop missed.

    $ npx @skills-hub-ai/cli install loop

Skills installed in this recipe

code-reviewsecureunit-testgithub-actionsloop

Frequently asked questions

How long does each PR review take?

60-120 seconds for small PRs (<500 lines), 3-6 minutes for larger PRs. Most teams set a 10-minute timeout, anything that takes longer signals a PR that's too big to review well.

How many false positives?

Modern skills tune for low false-positive rates, typically 5-10% of findings need human judgment to accept-or-reject. Set the gate to block only on critical / high severity to avoid over-blocking.

Does this replace human PR review?

No, it filters out the 80% of issues that don't need a human (lint, style, common bugs, missing tests, OWASP, dependency CVEs). Humans then focus on architecture, edge cases, and business logic.

Cost per PR?

$0.05-$0.40 per PR depending on size and model. Most teams budget $30-$200/mo for a 50-200 PR/month repo. Cheaper than a single hour of senior-engineer review time.

Which AI tool should I use for this?

Claude Code via /loop for production teams (best scheduled tasks). GitHub Copilot Workspace for GitHub-Enterprise teams (native PR integration). Cursor or Cline for local-only review. All work with the same skills.

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