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 explain-codegit 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/explain-code)<a href="https://agentmods.dev/skills/cavinhuang/lume/explain-code"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/explain-code/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/explain-code"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/explain-code.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 | $0.00019 | $0.00165 |
| Opus 5.5 | $0.00008 | $0.00066 |
| Sonnet 5.5 | $0.00004 | $0.00033 |
| Haiku 4.5 | $0.00002 | $0.00016 |
Grade A, and why
解释代码 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
请用通俗易懂的语言解释这段代码:
- 整体目的:这段代码的作用是什么?解决了什么问题?
- 工作流程:逐步说明代码的执行流程
- 关键逻辑:解释最核心/最难懂的部分
- 输入输出:如果是函数/类,说明输入参数和返回值
- 举例说明:用一个具体例子帮助理解
用比喻和类比让解释更生动,适合初学者也能理解。
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 · 16 lines · 19 tokens per session scan A 0d32f45e11df
解释代码 is a skill published in the GitHub repository CavinHuang/lume (3 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 165 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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