A review process for checking whether software matches its product requirements, design documents, test plan, and code. It also looks for security, performance, maintainability, scope, and testing problems.

Use it after implementation to produce an actionable review report from the project documents and relevant source and test files.

It helps find gaps between what was requested, designed, tested, and built before release.

review — Skill for Claude Code and Codex by AlanHuang168

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 AlanHuang168/AI-Project-Workflow --skill review

Clone the repo

git clone --depth 1 https://github.com/AlanHuang168/AI-Project-Workflow

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alanhuang168/ai-project-workflow/review/github.svg)](https://agentmods.dev/skills/alanhuang168/ai-project-workflow/review)

Your own site

<a href="https://agentmods.dev/skills/alanhuang168/ai-project-workflow/review"><img src="https://agentmods.dev/badge/skills/alanhuang168/ai-project-workflow/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/alanhuang168/ai-project-workflow/review"><img src="https://agentmods.dev/badge/skills/alanhuang168/ai-project-workflow/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 602 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00602
Opus 5	$0.00000	$0.00301
Sonnet 5	$0.00000	$0.00120
Haiku 4.5	$0.00000	$0.00060

Measured 10d ago against content hash 2f4346e4e925, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

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 10d 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.

adapters/catpaw/.catpaw/skills/review/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

name: review description: Review consistency between PRD, Architecture, SDD, Test Plan, and code. Identify scope creep, missed requirements, security, performance, maintainability, and test issues. Use when entering review or invoking /review. version: 1.0.0 stage: review

Goal

Review the implementation against the approved documents and produce an actionable review report.

Use Cases

The user invokes /review.
The user asks to check whether code matches design.
Implementation is complete and the project is entering release readiness checks.

Preconditions

impl is complete.
PRD, Architecture, SDD, Test Plan, and relevant code are readable.

Required Context

AGENTS.md
.ai-workflow/state.json
core/templates/REVIEW.template.md
docs/PRD.md
docs/ARCH.md
docs/SDD.md
docs/TEST.md
Relevant source and test files

Inputs

Current implementation.
Upstream documents.
Existing docs/REVIEW.md, if present.

Allowed Changes

docs/REVIEW.md
.ai-workflow/state.json
By default, do not modify code.

Steps

Read upstream documents and code.
Check consistency across PRD, Architecture, SDD, Test Plan, and code.
Identify scope creep and missed requirements.
Check security, performance, maintainability, error handling, and test completeness.
Classify issues as blocking or non-blocking and provide remediation advice.
Write docs/REVIEW.md.
If blocking issues exist, keep currentStage = "review" and record blocked = true with the reason.
If no blocking issues exist, add review to completedStages, set currentStage = "deploy", and update the timestamp.

Outputs

docs/REVIEW.md

Acceptance Criteria

The report includes review summary, blocking issues, non-blocking issues, document consistency, code quality, test coverage, security risks, and release recommendation.
Every blocking issue includes file location, impact, and remediation advice.
No unverified claim is reported as passed.

Read the full file on GitHub · 83 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.

10d ago First seen · 83 lines · 0 tokens per session scan A 2f4346e4e925

Subscribe to this mod's changes

review is a skill published in the GitHub repository AlanHuang168/AI-Project-Workflow (28 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 602 tokens. 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 2026-08-30.

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