🔍
QualityGo

Auto Review

by openclaw

Auto Review is a Quality skill for Claude Code, published by openclaw in crabbox.

1.3K stars162 forkson openclaw/crabboxAdded 2026/08/20Repository updated 2026/08/20
View source on GitHubDownload repo ZIP
agent-skillsherdr-pluginremote-test-runner
Install in seconds
Install Auto Review
Copy Auto Review into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/openclaw/crabbox/tree/main/.agents/skills/autoreview ~/.claude/skills/autoreview

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/openclaw/crabbox.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.agents/skills/autoreview/SKILL.md in openclaw/crabbox
Installs to
~/.claude/skills/autoreview
Collection
One of 2 skills cataloged from this repository
Category
Quality — 1354 skills

What Auto Review does

Auto Review runs a structured pre-commit/ship code review with a bundled helper, defaulting to Codex (gpt-5.6-sol) and optionally Claude or Pi. Use it after non-trivial code edits or when asked for autoreview/second-model review to catch actionable findings before merging.

Auto Review is cataloged under Quality on DirSkills. Auto Review comes from a repository tagged agent-skills, herdr-plugin and remote-test-runner.

Documentation

README

Auto Review

Run the bundled structured review helper as a closeout check. This is code review, not Guardian auto_review approval routing.

Codex review is the default when no engine is set. It uses gpt-5.6-sol with high reasoning by default, then retries once with gpt-5.6-terra only when the account cannot access Sol. Claude review is optional and uses claude-fable-5 by default.

For user-visible behavior, pair autoreview with behavior-validator. Autoreview is source-aware and judges the change bundle; behavior validation is source-blind and judges the running product or tool against a behavior contract. A clean autoreview is not proof that a UI, CLI, API, or generated artifact works from the user's perspective.

Use when:

This is the opening of the README. Read the full README on GitHub.

Commands Auto Review provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /landpr

Frequently asked about Auto Review

  • What else does openclaw publish alongside Auto Review?

    Auto Review is one of 2 skills that DirSkills catalogs from openclaw/crabbox, the repository it ships in. Its siblings there include Crabbox. Each one is a separate skill with its own page in this directory, installs the same way Auto Review does, and is maintained by openclaw in that same repository. The rest of the collection is listed on the openclaw/crabbox page.

  • How does Auto Review compare to other Quality skills?

    Auto Review ranks #701 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Auto Review against them. Open each page to compare what they document and how they install.

More from openclaw/crabbox

Auto Review is one of 2 skills cataloged on DirSkills from openclaw/crabbox.

See all 2 skills →
🧪
2w ago

Crabbox

Crabbox runs repository tests and validation on remote runners. Use it when a project needs remote compute, a clean or reusable environment, target-platform coverage, or auditable execution evidence.
DevOps
1.3K162

More Quality skills

Auto Review is one of 1354 Quality skills cataloged on DirSkills, ranked #701 by stars among them.

Browse all Quality skills →
⏱️
3w ago

Benchmark

Benchmark measures performance baselines, detects regressions before and after PRs, and compares stack alternatives for pages, APIs, and builds.
Quality
239.8K36.4K
⏱️
3w ago

Benchmark Optimization Loop

Benchmark Optimization Loop turns vague performance goals into a bounded, measured optimization process. Use it when asked to make something faster, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
Quality
239.8K36.4K
🔌
3w ago

API Design Patterns

API Design Patterns provides conventions and best practices for designing consistent REST APIs. Use it when creating endpoints, reviewing contracts, handling pagination, error responses, status codes, filtering, or versioning.
Quality
239.8K36.4K