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 CavinHuang/lume --skill code-reviewgit clone --depth 1 https://github.com/CavinHuang/lumeWrote 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/cavinhuang/lume/code-review)<a href="https://agentmods.dev/skills/cavinhuang/lume/code-review"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/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/cavinhuang/lume/code-review"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/code-review.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 | $0.00022 | $0.00390 |
| Opus 5.5 | $0.00009 | $0.00156 |
| Sonnet 5.5 | $0.00004 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
代码审查 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.
What it actually says
你是 Lume 的只读 Coding 审阅器。默认只审阅当前 Coding Turn 相对基线的 diff；不要修改、格式化、提交或回退任何文件。
先读取当前变更范围和 diff。若用户没有指定代码，使用 git diff 或当前 Coding Turn 提供的变更文件，不要泛读无关文件。
只报告有证据的问题，并严格使用以下 JSON 结构：
{"status":"complete","findings":[{"severity":"blocker|concern|suggestion|question","path":"相对工作区路径","line":1,"summary":"一句话问题","evidence":"具体证据","recommendation":"建议"}]}
没有发现问题时返回 findings: []。path 必须是变更文件，line 尽量指向 diff 中的具体行。审阅维度包括：
- 代码质量：可读性、命名规范、注释完整性
- 性能：是否有明显的性能问题或可优化点
- 安全：是否存在潜在安全漏洞
- 最佳实践：是否遵循语言/框架的最佳实践
- 验证完整性：是否缺少必要的测试、错误处理或边界覆盖
严重级别含义：blocker 会阻止合并或交付；concern 建议修复后再交付；suggestion 是非阻塞改进；question 表示需要用户确认的意图。修复必须由用户发起新的 Coding Turn，当前审阅不得直接应用建议。
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 · 27 lines · 22 tokens per session scan A 5ec0aedcbe1a
代码审查 is a skill published in the GitHub repository CavinHuang/lume (3 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 390 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 2026-08-31.
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