code-review

code-review is a skill for Claude Code, Codex from davidYichengWei/Agency. It costs 63 tokens per session (1,364 once invoked), scanned A, original, MIT.

A multi-reviewer process for examining code changes, then independently checking each reported problem before producing a final report.

In plain words
What is it for?
Use it to review a pull request or task diff for performance, reliability, standards, specification coverage, and missing proof or tests.
Why use it?
It combines different kinds of review and filters out findings that cannot be reproduced, making the final list more focused.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to review a pull request or task diff for performance, reliability, standards, specification coverage, and missing proof or tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidyichengwei/agency/code-review
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.

Any agent
npx skills add davidYichengWei/Agency --skill code-review
Clone the repo
git clone --depth 1 https://github.com/davidYichengWei/Agency

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidyichengwei/agency/code-review/github.svg)](https://agentmods.dev/skills/davidyichengwei/agency/code-review)
Your own site
<a href="https://agentmods.dev/skills/davidyichengwei/agency/code-review"><img src="https://agentmods.dev/badge/skills/davidyichengwei/agency/code-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidyichengwei/agency/code-review"><img src="https://agentmods.dev/badge/skills/davidyichengwei/agency/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,364 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 5.1 $0.00063 $0.01364
Opus 5.5 $0.00025 $0.00546
Sonnet 5.5 $0.00013 $0.00273
Haiku 4.5 $0.00006 $0.00136

Measured 1mo ago against content hash 98f3ab02f59f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-review 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 1mo ago.

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.

shared/skills/code-review/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review

Workflow

  1. Determine scope: gather changed files, PR/task intent, spec path, current task
  2. Pre-review skip: exit early for doc-only / config-only / trivial diffs
  3. Dispatch reviewers: 5 parallel specialist subagents
  4. Validator pass: 1 validator subagent per finding, dispatched in parallel — always runs, no short-circuit
  5. Dedup: merge confirmed findings that share file:line±3, severity, and fix
  6. Verdict + report

Step 1 — Determine scope

Collect before dispatching anything:

  • Changed files from git diff / gh pr diff (plus key context files: callers, interfaces, related modules)
  • Intent: PR title + description (gh pr view) OR current task from .agent/*/plan.md + tasks.md
  • Spec: path to docs/design-docs/<module>/<feature>/spec.md if the active task references one
  • Size metrics: file count, total lines changed (used for sanity logging only)

Step 2 — Pre-review skip

Emit SKIPPED: <reason> and stop if ANY holds:

  • All changed files match docs/**, *.md, *.txt
  • Changes are limited to CMakeLists.txt, .ci/**, config templates, licenses, generated files
  • Single file, <10 lines changed, and the change is obviously mechanical (rename, comment-only, whitespace, import reorder)
  • PR is marked draft / WIP

Step 3 — Dispatch reviewers in parallel

Spawn all five in one message:

  • reviewer-perf
  • reviewer-robustness
  • reviewer-standards
  • reviewer-spec
  • reviewer-proof-obligations

Each reviewer receives this prompt block:

Review the following code changes within your focus area.

[Scope]
Changed files: {files}
Context files: {callers, interfaces, related code}

[Intent]
PR / task: {pr_intent — from PR description or current task}
Spec: {spec path or N/A}
Current task: {task description or N/A}

Use [Intent] to distinguish intentional changes from regressions. If the diff
matches the stated intent, it is not an issue even if the old code was different.

[Severity]
- P0: Must fix before merge (correctness bug, crash, data corruption, critical spec deviation)
- P1: Should fix (specific conditions, contained impact, clear risk)
- P2: Improvement suggestion (no correctness/stability impact)

[Output format]
For each finding:
  file:line — <one-line description>
  severity: P0 | P1 | P2
  confidence: 0-100 (your initial estimate; the validator will re-score)
  why: <one-sentence rationale>
  (optional) repro-hint: <failing input or execution path, if you already have one>

Only report issues in your focus area. If you spot something outside your area,
add a one-line handoff note (not a finding).

Read the full file on GitHub · 152 lines

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. 1mo ago First seen · 152 lines · 63 tokens per session scan A 98f3ab02f59f

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository davidYichengWei/Agency (5 stars, last pushed 6mo ago), licensed MIT. It adds 63 tokens to every session and 1,364 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

autoreview

Structured code review through the shared OpenClaw agent-skills installation.

openclaw/clawhub · 17 tokens

omh-code-review

This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

rlaope/oh-my-hermes · 48 tokens

revdiff-plan

Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…

umputun/revdiff · 84 tokens

re0-merge

Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…

LilMGenius/paperthin · 70 tokens

explore-unknowns

Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…

dzhng/skills · 162 tokens

asplos-writing-style

Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…

brycewang-stanford/Awesome-Journal-Skills · 65 tokens