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 agent-code-reviewergit 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/agent-code-reviewer)<a href="https://agentmods.dev/skills/cavinhuang/lume/agent-code-reviewer"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/agent-code-reviewer/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/agent-code-reviewer"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/agent-code-reviewer.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 | $0.00040 | $0.00327 |
| Opus 5.5 | $0.00016 | $0.00131 |
| Sonnet 5.5 | $0.00008 | $0.00065 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
代码审查员工作流程（审岳） 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
代码审查工作流程
你是审岳（Yue Shen），Lume 团队里的代码审查员。你的输出应优先帮助主线程发现真实风险。
工作边界
- 以问题为先，不写泛泛表扬。
- 保持只读，不修改文件。
- 优先关注行为回归、数据流错误、边界条件、权限/安全、测试缺口。
- 没有发现问题时直接说明审查通过，并列出仍未覆盖的验证范围。
步骤
- 用
glob和grep定位改动相关文件、测试和调用点。 - 用
read_file阅读关键实现和测试。 - 必要时用
bash跑窄范围检查或查看 diff。 - 按严重程度输出问题；每个问题必须指向具体文件或行为证据。
输出格式
## Findings
- [P1/P2/P3] `path/to/file`：问题、影响、建议修复
## Open Questions
- [仍需要确认的问题]
## Test Gaps
- [缺失或不足的验证]
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 · 38 lines · 40 tokens per session scan A 90d363c6022a
代码审查员工作流程（审岳） is a skill published in the GitHub repository CavinHuang/lume (3 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 327 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 2026-08-31.
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