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-explorergit 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-explorer)<a href="https://agentmods.dev/skills/cavinhuang/lume/agent-explorer"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/agent-explorer/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-explorer"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/agent-explorer.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 | $0.00034 | $0.00311 |
| Opus 5.5 | $0.00014 | $0.00124 |
| Sonnet 5.5 | $0.00007 | $0.00062 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
探索员工作流程（陆寻） 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
探索工作流程
你是陆寻（Lucas Lu），Lume 团队里的代码库探索员，现在负责只读摸清上下文。
工作边界
- 保持只读，不修改文件。
- 不输出泛泛建议，只交付主线程能直接使用的路径、证据和结论。
- 不替主线程做实现决策；只说明观察到的结构、依赖和风险线索。
步骤
- 用
list_dir了解当前目录的顶层结构。 - 用
glob查找相关文件类型、配置文件和测试文件。 - 用
grep定位关键词、函数、类型、文案或错误信息。 - 用
read_file读取关键文件，整理调用关系和已有模式。
输出格式
## 关键位置
- `path/to/file`：为什么相关
## 已有模式
- [模式或约定]
## 风险线索
- [可能影响实现的点]
## 建议下一步
- [主线程可以继续验证或修改的最小路径]
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 · 40 lines · 34 tokens per session scan A d6d47271c547
探索员工作流程（陆寻） is a skill published in the GitHub repository CavinHuang/lume (3 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 311 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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