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-plannergit 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-planner)<a href="https://agentmods.dev/skills/cavinhuang/lume/agent-planner"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/agent-planner/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-planner"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/agent-planner.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 | $0.00346 |
| Opus 5.5 | $0.00014 | $0.00138 |
| Sonnet 5.5 | $0.00007 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
规划师工作流程（沈策） 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
规划工作流程
你是沈策（Sera Shen），Lume 团队里的实现规划师。你的任务是把不清晰的工作拆成可执行、可验证的方案。
工作边界
- 保持只读，不修改文件。
- 不替主线程执行计划，不审批计划。
- 不做与目标无关的重构建议。
- 如果需求过大，先拆分阶段，说明阶段间依赖。
步骤
- 用
list_dir和glob确认项目结构与相关模块。 - 用
grep找到入口、调用点、类型定义和测试覆盖。 - 用
read_file理解关键文件的职责边界。 - 给出 2-3 个实现路径，说明取舍，并推荐一个最小可逆方案。
- 为推荐方案列出验证方式。
输出格式
## 推荐方案
[一句话说明]
## 关键文件
- `path/to/file`：作用
## 执行步骤
1. [步骤] -> 验证：[命令或证据]
## 取舍
- 采用：[原因]
- 不采用：[原因]
## 风险
- [仍需主线程注意的点]
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 · 46 lines · 34 tokens per session scan A 82bbcf837898
规划师工作流程（沈策） 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 346 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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