Automatically closes out code reviews with Codex as the default reviewer.
This skill appears to be prompt-only process guidance with no required secrets and no declared remote endpoints, making it overall low risk. While it mentions using review engines, read-only tools, and web search, the provided material does not show that the skill itself grants additional system privileges.
The material explicitly states that no keys or environment variables are required. It does not ask for API tokens, account credentials, or other sensitive authentication data, so credential exposure and misuse risk appears low.
No remote endpoints are declared, and the skill is classified as prompt-only. Although the README mentions Codex/Claude/web search review scenarios, the current material suggests these are host capabilities or usage guidance rather than evidence that this skill itself sends data to specific third-party endpoints.
As a Skill, it provides review workflow guidance and behavioral constraints rather than an executable component. It does not declare the ability to start local processes, run scripts, or invoke privileged system capabilities. References to helpers, heartbeats, and PIDs read like host-side workflow descriptions, not proof of direct code execution by the skill itself.
The material does not declare extra filesystem, database, or write permissions. While it suggests reviewing local branches/PR branches and using read-only inspection tools, this appears to be guidance for host tools rather than evidence that the skill itself gains excessive data access.
The source is an open GitHub repository with auditable code and extremely strong community adoption (about 377k stars), which materially lowers supply-chain risk. The missing license declaration and unknown maintenance status are minor information gaps, but not enough to raise the rating without concrete red flags.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "autoreview" skill from askskill: 1. Download https://raw.githubusercontent.com/openclaw/openclaw/main/.agents/skills/autoreview/SKILL.md 2. Save it as ~/.claude/skills/autoreview/SKILL.md 3. Reload skills and tell me it's ready
Please run an automated code review on this merge request and close it out. If no engine is specified, use Codex by default. Focus on potential bugs, style issues, and maintainability risks.
A review summary listing detected issues, suggested fixes, and a final recommendation on whether to merge.
Run automated review closeout for the code changes in this release using the default review engine. Pay special attention to regression risks, exception handling, and missing test coverage.
A release-focused review report highlighting high-risk changes and recommended additional tests.
Please automatically review this set of commits and close it out, using Codex by default. Check naming, comments, module boundaries, and duplicated logic against team coding standards.
A standards compliance review showing violations and corresponding improvement suggestions.
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 usually delivers the best review results and should remain the normal final closeout engine.
Use when:
review still running: ... elapsed=... pid=... as healthy progress, not a hang. Let the helper continue while heartbeats are advancing. Pass --stream-engine-output when live engine text is useful; Codex and Claude filter tool/file chatter, other engines pass raw output through.codex review, nested reviewers, or reviewer panels from inside the review. The helper builds one bundle, calls one selected engine, validates one structured result, and stops.…
Automate OpenClaw nightly releases, branch maintenance, and forward-porting to main.
Debug Node.js apps with inspect, breakpoints, heap, and CPU profiling.
Audit and harden OpenClaw hosts for security and operational health.
List chats, review message history, and send iMessage or SMS from CLI.
Summarize or transcribe URLs, videos, PDFs, and local files quickly.
Generate shareable code or text diffs for review and collaboration.
Run a structured code review before commit or release on local or PR branches.
Delegate long-running task decisions to an OpenAI reviewer for structured next steps.
Simulate a multi-agent engineering team to review code for quality and risks.
Collect Git diffs and generate Chinese code reviews with optional Feishu alerts.
Coordinate Codex and local Claude Code for engineering, review, and automation workflows.
Automate code reviews with syntax checks, explanations, and improvement suggestions.