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 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/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/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="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00670 |
| Opus 5.5 | $0.00012 | $0.00268 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (605 stars, last pushed 7d ago), licensed Apache-2.0. It adds 30 tokens to every session and 670 once invoked, about $0.0001 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 2026-08-30.
code-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| code-reviewww-w-ai/bkit-claude-code | Skill | 605 | 7d ago | Apache-2.0 | A | 30 | Claude Code |
| autonomousoyi77/1ai-skills | Skill | 17 | yesterday | MIT | A | 50 | Claude Code |
| brainstormgreglas75/zuvo | Skill | 7 | 3d ago | MIT | A | 56 | Claude Code |
| plangreglas75/zuvo | Skill | 7 | 3d ago | MIT | A | 53 | Claude Code |
| worktreegreglas75/zuvo | Skill | 7 | 3d ago | MIT | A | 61 | Claude Code |
| receive-reviewgreglas75/zuvo | Skill | 7 | 3d ago | MIT | A | 30 | Claude Code |
| code-auditorbahayonghang/my-ai-cli-toolkit | Skill | 17 | 8d ago | MIT | A | 176 | Claude Code |