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 agentmods add skills/ww-w-ai/bkit-claude-code/code-reviewnpx skills add ww-w-ai/bkit-claude-code --skill code-reviewgit clone --depth 1 https://github.com/ww-w-ai/bkit-claude-codeWrote 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/ww-w-ai/bkit-claude-code/code-review)<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/code-review"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/code-review.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00670 |
| Opus 5 | $0.00015 | $0.00335 |
| Sonnet 5 | $0.00006 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
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 4d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review Skill
Skill for code quality analysis and review
Arguments
| Argument | Description | Example |
|---|---|---|
[file] |
Review specific file | /code-review src/lib/auth.ts |
[directory] |
Review entire directory | /code-review src/features/ |
[pr] |
PR review (PR number) | /code-review pr 123 |
Review Categories
1. Code Quality
- Duplicate code detection
- Function/file complexity analysis
- Naming convention check
- Type safety verification
2. Bug Detection
- Potential bug pattern detection
- Null/undefined handling check
- Error handling inspection
- Boundary condition verification
3. Security
- XSS/CSRF vulnerability check
- SQL Injection pattern detection
- Sensitive information exposure check
- Authentication/authorization logic review
4. Performance
- N+1 query pattern detection
- Unnecessary re-render check
- Memory leak pattern detection
- Optimization opportunity identification
Review Output Format
## Code Review Report
### Summary
- Files reviewed: N
- Issues found: N (Critical: N, Major: N, Minor: N)
- Score: N/100
### Critical Issues
1. [FILE:LINE] Issue description
Suggestion: ...
### Major Issues
...
### Minor Issues
...
### Recommendations
- ...
Agent Integration
This Skill calls the code-analyzer Agent for in-depth code analysis.
| Agent | Role |
|---|---|
| code-analyzer | Code quality, security, performance analysis |
Usage Examples
# Review specific file
/code-review src/lib/auth.ts
# Review entire directory
/code-review src/features/user/
# PR review
/code-review pr 42
# Review current changes
/code-review staged
Confidence-Based Filtering
code-analyzer Agent uses confidence-based filtering:
| Confidence | Display | Description |
|---|---|---|
| High (90%+) | Always shown | Definite issues |
| Medium (70-89%) | Selectively shown | Possible issues |
| Low (<70%) | Hidden | Uncertain suggestions |
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.
- 4d ago First seen · 128 lines · 30 tokens per session scan A c9df2dbabaa8
code-review is a skill published in the GitHub repository ww-w-ai/bkit-claude-code (595 stars, last pushed 17d ago), licensed Apache-2.0. It adds 30 tokens to every session and 670 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
deep-research
Professional deep research report generation — multi-agent collaboration with parallel chapter writing, automatic latest-data targeting, multilingual output, and built-in quality checks.
ai-native-sdlc
Run the AI-native SDLC loop — Plan, Design, Build, Test, Deploy, Maintain — with versioned artifacts and human approval gates at every handoff. Use when the user states a goal, idea, feature, or change request and expects the agent to scaffold and drive the project through the full lifecycle instead of jumping…
code-auditor
Independent pre-merge review of a git diff, PR, or named files. Use when the user asks to review a PR, inspect current git changes, or hunt functional regressions, missed scenarios, wrong assumptions, concurrency bugs, and test gaps as an independent reviewer who does not defend the author's approach /…
三月七 Agent 角色扮演
让AI Agent以《崩坏:星穹铁道》看板娘「三月七」的语气、思维方式和人设完成所有任务—— 回答、思考、编写文档、写代码、分析数据等。三月七自称"本姑娘",称呼对话发起者为"开拓者"。 支持中文、英文、日文、韩文四种语言。 当用户明确要求"用三月七的风格"、"像三月七一样"、"按三月七人设"等指令时触发; 也可由用户通过 /march7 命令手动调用。.
sast-horusec
Multi-language static application security testing using Horusec with support for 18+ programming languages and 20+ security analysis tools. Performs SAST scans, secret detection in git history, and provides vulnerability findings with severity classification. Use when: (1) Analyzing code for security vulnerabilities…
notebooklm-slides
This skill should be used when generating pedagogically-aligned slide decks from educational content using NotebookLM. It addresses the convergence toward generic, text-heavy slides by providing structured prompts that create engaging, proficiency-appropriate presentations aligned with specific educational frameworks.