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Auto Review (Code Review Pointer)

Runs a structured code review by delegating to the shared autoreview skill and helper script

Source Download skill
Repository
openclaw/clawhub
Stars
9,546
Licence
MIT
Files
1 file

What it does

This is a small pointer file rather than a full review tool. It tells an AI agent to find or install the canonical autoreview skill from the openclaw/agent-skills repository, read its instructions, and then run that skill's Python helper script to review the code in the current repository. It also sets defaults for this repository (a specific Codex model, high reasoning effort, and a local or branch review mode) and tells the agent to keep shared fixes in the upstream repository.

Great for

  • Contributors to the openclaw/clawhub repository who want a consistent automated code review
  • Developers already using the shared OpenClaw agent-skills installation

Skip it if

  • Anyone expecting a self-contained review tool: this file contains no review logic and depends on an external repository and installation
  • Reviewing code with no trust in the external repository, since the agent may clone and execute its scripts

Try asking

  • “Review my uncommitted changes in this repo using the default autoreview settings”
  • “Run a branch review of my commits against origin/main”
  • “Review this repository with autoreview using a different model I specify”
Step-by-step guide: how to use Auto Review (Code Review Pointer)Install, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    autoreview.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip autoreview.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip autoreview.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Check the upstream openclaw/agent-skills scripts before the first run, since this pointer will execute the helper they contain.
  • Pass an explicit engine, model, or effort on the command line if you want to override the repository defaults.

What's inside

  • SKILL.md

Redistributed unmodified from openclaw/clawhub under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.