autoreview

A pre-commit and pre-release code review workflow that uses an AI reviewer, with optional support for other review engines.

In plain words
What is it for?
Use it to review a local branch or pull request, check non-trivial edits before release, and identify source-code issues that need confirmation.
Why use it?
It provides a second review of a change bundle before it is committed or shipped, while reminding developers to verify findings against the actual code. A clean review does not prove that the running product works.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/openclaw/acpx/autoreview
Any agent
npx skills add openclaw/acpx --skill autoreview
Clone the repo
git clone --depth 1 https://github.com/openclaw/acpx

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,641 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.06641
Opus 5 $0.00010 $0.03320
Sonnet 5 $0.00004 $0.01328
Haiku 4.5 $0.00002 $0.00664

Measured 3d ago against content hash 8d92cf5decaf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

autoreview scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/autoreview_test.py, scripts/test-review-harness.ps1, scripts/test-review-harness.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

88% identical to autoreview — 36 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/autoreview/SKILL.md · 413 lines

How it starts

The opening of the file, as written. The whole thing — 413 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

  • user asks for Codex review / Claude review / Pi review / autoreview / second-model review
  • after non-trivial code edits, before final/commit/ship
  • reviewing a local branch or PR branch after fixes

Contract

  • Treat review output as advisory. Never blindly apply it.
  • Verify every finding by reading the real code path and adjacent files.
  • Read dependency docs/source/types when the finding depends on external behavior.
  • Reject unrealistic edge cases, speculative risks, broad rewrites, and fixes that over-complicate the codebase.
  • Prefer small fixes at the right ownership boundary; no refactor unless it clearly improves the bug class.
  • When an accepted finding shows a bug class or repeated pattern, inspect the current PR scope for sibling instances before fixing.
  • Fix the scoped bug class at once when practical; stop at touched surfaces, owner boundaries, and clear follow-up territory.
  • Keep going until structured review returns no accepted/actionable findings only while the work remains inside the original task scope.
  • If a review-triggered fix changes code, rerun focused tests and rerun the structured review helper.
  • For security-audit suppression changes, verify accepted findings remain auditable: suppressed findings stay in structured output, active output keeps an unsuppressible suppression notice, and aggregate findings cannot hide unrelated active risk.
  • Never switch or override the requested review engine/model except for the documented Codex Sol-to-Terra account-access fallback. Capacity, rate-limit, and unrelated failures keep the same engine/model.
  • Be patient with large bundles. Structured review can take up to 30 minutes while the model call is active, especially with Codex tools or web search.
  • Treat heartbeat lines like 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 runnable engines pass raw output through.
  • Do not kill a review just because it has been quiet for 2-5 minutes, or because it is still running under the 30-minute window. Inspect the process only after missing multiple expected heartbeats, after 30 minutes, or after an obviously failed subprocess; prefer letting the same helper command finish.
  • Tools are useful in review mode. Codex receives the validated bundle in an empty workspace so ignored files and linked-worktree metadata remain unreadable; web search stays available for dependency contracts and upstream docs.
  • Security perspective is always included, but it should not cripple legitimate functionality. Report security findings only when the change creates a concrete, actionable risk or removes an important safety check.
  • Reviewer subprocesses preserve engine authentication and non-credentialed proxy variables needed by headless or restricted-network environments while stripping process-injection, Git override, and credentialed proxy values.
  • Review bundles fail closed before engine invocation when tracked or untracked paths look sensitive, patch text looks secret-like, or a Git diff exceeds the bundle limit. Redact/split the change; never accept a truncated patch as complete review proof.
  • For regression provenance, keep roles separate: blamed code author, blamed PR author, PR merger/committer, current PR author, and PR/date. If no blamed PR is traceable, use the blamed commit as the provenance: commit SHA, date, and author username. Do not guess a merger or frame missing PR metadata as a separate finding.
  • If the blamed PR was merged by clawsweeper[bot] or another automation, identify the human trigger when practical. Check timeline/comments first; if rate-limited, use gitcrawl/cache or public PR HTML. Look for maintainer commands such as @clawsweeper automerge, /landpr, or labels/status comments that armed automerge. Report automerge triggered by @login; if not found, say trigger unknown.
  • Do not invoke built-in 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.
  • Stop as soon as the helper exits 0 with no accepted/actionable findings. Do not run an extra review just to get a nicer "clean" line, a second opinion, or clearer closeout wording.
  • Treat the helper's successful exit plus absence of actionable findings as the clean review result, even if the underlying Codex CLI output is terse.
  • Multi-reviewer panels are opt-in only. Use them when explicitly requested or when risk justifies the extra spend; the main agent still verifies every accepted finding before fixing.
  • If rejecting a finding as intentional/not worth fixing, add a brief inline code comment only when it explains a real invariant or ownership decision that future reviewers should know.
  • If gh/Gitcrawl reports database disk image is malformed, run gitcrawl doctor --json once to let the portable cache repair before retrying review; do not bypass the shim unless repair fails and freshness requires live GitHub.
  • If Gitcrawl reports a portable manifest mismatch, source/runtime DB health error, or stale portable-store checkout, run gitcrawl doctor --json and inspect source_db_health, runtime_db_health, and portable_store_status before falling back to live GitHub.
  • Do not push just to review. Push only when the user requested push/ship/PR update.

Read the full file on GitHub · 413 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 413 lines · 20 tokens per session scan A 8d92cf5decaf

Subscribe to this mod's changes

autoreview is a skill published in the GitHub repository openclaw/acpx (3,202 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 6,641 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to autoreview, differing in 36 lines, and is treated as a copy.

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