review

review is a skill for Claude Code from 0xrafasec/ai-workflow. It costs 77 tokens per session (718 once invoked), scanned A, original, MIT.

A code review tool that examines a branch or pull request and reports problems with exact line references. It acts as a reviewer and does not rewrite the implementation.

In plain words
What is it for?
Use it to review the current branch, another branch, or a pull request before merging, and to receive specific review comments.
Why use it?
It provides a structured second opinion on changed code, including checks against project specifications, security concerns, architecture, and language-specific practices.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents.

Good fit Use it to review the current branch, another branch, or a pull request before merging, and to receive specific review comments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0xrafasec/ai-workflow/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 0xrafasec/ai-workflow --skill review
Clone the repo
git clone --depth 1 https://github.com/0xrafasec/ai-workflow

Made for: Claude Code.

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 review

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/review.svg)](https://agentmods.dev/skills/0xrafasec/ai-workflow/review)
Your own site
<a href="https://agentmods.dev/skills/0xrafasec/ai-workflow/review"><img src="https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/review.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 718 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 $0.00077 $0.00718
Opus 5 $0.00039 $0.00359
Sonnet 5 $0.00015 $0.00144
Haiku 4.5 $0.00008 $0.00072

Measured 7d ago against content hash c553e01b5227, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

skills/review/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review the changes on the current branch (or the branch/PR specified in $ARGUMENTS).

Important

You are the reviewer, not the writer. Do NOT rewrite the implementation. Flag issues with specific line references.

Process

  1. Determine the target:

    • No argument: review current branch changes vs main
    • Branch name: review that branch vs main
    • PR number: fetch the PR and review its changes
  2. Gather context:

    git log --oneline main..HEAD
    git diff main...HEAD
    
  3. Check spec compliance - Find the relevant spec in docs/specs/. Does the implementation match?

  4. Run stack-aware code review — Prefer Anthropic's official code-review skill (from claude-code-plugins) if installed. Otherwise, run /sec-review for security findings and spawn the architecture-reviewer subagent for architecture findings — in parallel. Load the matching language guide from reviews/ (go.md, rust.md, typescript.md, python.md) and pass it to each as stack-specific criteria, so findings cite idiomatic patterns and framework pitfalls.

  5. Your own review - Focus on what subagents won't catch:

    • Business logic correctness - Does it solve the actual problem?
    • Design decisions - Are the tradeoffs right?
    • What's missing - What didn't the author think of?
    • Test layer coverage - Check against docs/TECHNICAL_DESIGN_DOCUMENT.md Testing Strategy (if it exists) or infer from codebase patterns:
      • Are unit tests present for new business logic?
      • Are integration tests present for new API endpoints, DB operations, or service boundaries?
      • Are e2e tests present for critical user flows (if applicable)?
      • Do tests follow the project's conventions (location, naming, framework)?
      • Are verification criteria from the spec covered at the right test layer?
    • Edge cases - Are failure modes handled?
  6. Consolidate findings into a single report:

    # Review: [branch/PR]
    
    ## Verdict: APPROVE | REQUEST_CHANGES | COMMENT
    
    ## Spec Compliance
    - [Does it match the spec? What's missing?]
    
    ## Security (from code review)
    - [Summary of findings]
    
    ## Architecture (from code review)
    - [Summary of findings]
    
    ## Stack-Specific (from code review)
    - [Language/framework-specific findings]
    
    ## Business Logic
    - [Your findings]
    
    ## Test Coverage
    - **Unit:** [Present/Missing — what's covered, what's not]
    - **Integration:** [Present/Missing/N/A — what's covered]
    - **E2E:** [Present/Missing/N/A — what's covered]
    - **Verdict:** [Adequate / Needs more coverage at X layer]
    
    ## Suggestions
    - [Improvements, not blockers]
    

Read the full file on GitHub · 71 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. 7d ago First seen · 71 lines · 77 tokens per session scan A c553e01b5227

Subscribe to this mod's changes

review is a skill published in the GitHub repository 0xrafasec/ai-workflow (9 stars, last pushed 5d ago), licensed MIT. It adds 77 tokens to every session and 718 once invoked, about $0.0004 per session on Opus 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.