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.
npx skills add catlog22/Claude-Code-Workflow --skill review-codegit clone --depth 1 https://github.com/catlog22/Claude-Code-WorkflowWrote 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.
[](https://agentmods.dev/skills/catlog22/claude-code-workflow/review-code)<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/review-code"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/review-code/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.
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/review-code"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/review-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00048 | $0.02057 |
| Opus 5.5 | $0.00019 | $0.00823 |
| Sonnet 5.5 | $0.00010 | $0.00411 |
| Haiku 4.5 | $0.00005 | $0.00206 |
Grade A, and why
review-code 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.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Code
Multi-dimensional code review skill that analyzes code across 6 key dimensions and generates structured review reports with actionable recommendations.
Architecture Overview
┌─────────────────────────────────────────────────────────────────┐
│ ⚠️ Phase 0: Specification Study (强制前置) │
│ → 阅读 specs/review-dimensions.md │
│ → 理解审查维度和问题分类标准 │
└───────────────┬─────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────────┐
│ Orchestrator (状态驱动决策) │
│ → 读取状态 → 选择审查动作 → 执行 → 更新状态 │
└───────────────┬─────────────────────────────────────────────────┘
│
┌───────────┼───────────┬───────────┬───────────┐
↓ ↓ ↓ ↓ ↓
┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
│ Collect │ │ Quick │ │ Deep │ │ Report │ │Complete │
│ Context │ │ Scan │ │ Review │ │ Generate│ │ │
└─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘
↓ ↓ ↓ ↓
┌─────────────────────────────────────────────────────────────────┐
│ Review Dimensions │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │Correctness│ │Readability│ │Performance│ │ Security │ │
│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
│ ┌──────────┐ ┌──────────┐ │
│ │ Testing │ │Architecture│ │
│ └──────────┘ └──────────┘ │
└─────────────────────────────────────────────────────────────────┘
Project Context: Run ccw spec load --category review for review standards, checklists, and approval gates.
Key Design Principles
- 多维度审查: 覆盖正确性、可读性、性能、安全性、测试覆盖、架构一致性六大维度
- 分层执行: 快速扫描识别高风险区域,深入审查聚焦关键问题
- 结构化报告: 按严重程度分类,提供文件位置和修复建议
- 状态驱动: 自主模式,根据审查进度动态选择下一步动作
What ships with it
20 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.
- phases/actions/action-collect-context.md 3.5 KB
- phases/actions/action-complete.md 2.8 KB
- phases/actions/action-deep-review.md 7.9 KB
- phases/actions/action-generate-report.md 6.2 KB
- phases/actions/action-quick-scan.md 4.3 KB
- phases/orchestrator.md 7.3 KB
- phases/state-manager.md 19 KB
- phases/state-schema.md 4.0 KB
- specs/issue-classification.md 5.3 KB
- specs/quality-standards.md 4.6 KB
- specs/review-dimensions.md 6.8 KB
- specs/rules/architecture-rules.json 4.2 KB
- specs/rules/correctness-rules.json 3.1 KB
- specs/rules/index.md 4.0 KB
- specs/rules/performance-rules.json 3.6 KB
- specs/rules/readability-rules.json 3.6 KB
- specs/rules/security-rules.json 3.3 KB
- specs/rules/testing-rules.json 3.8 KB
- templates/issue-template.md 4.3 KB
- templates/review-report.md 3.8 KB
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.
- 1mo ago First seen · 173 lines · 48 tokens per session scan A f985f76afe18
review-code is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,124 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 2,057 once invoked, about $0.0002 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 2026-09-03.
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