Cangjie Skill is a system that turns methods from books, long videos, podcasts, and other source material into executable skills for AI agents. It helps users package knowledge into callable workflows, using the repository's code, methods, and templates; catalogue add-ons relate to these agent skills.
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 kangarooking/cangjie-skill --skill hourly-rate-timegit clone --depth 1 https://github.com/kangarooking/cangjie-skillWrote 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/kangarooking/cangjie-skill/hourly-rate-time)<a href="https://agentmods.dev/skills/kangarooking/cangjie-skill/hourly-rate-time"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/hourly-rate-time/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/kangarooking/cangjie-skill/hourly-rate-time"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/hourly-rate-time.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00146 | $0.01631 |
| Opus 5 | $0.00073 | $0.00816 |
| Sonnet 5 | $0.00029 | $0.00326 |
| Haiku 4.5 | $0.00015 | $0.00163 |
Grade A, and why
hourly-rate-time 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
时薪与时间资产
R — 原文 (Reading)
为自己设定一个非常高的时薪期望值，并坚持下去。它应该看起来和感觉上都是高得离谱的。……退休就是不用再为想象中的明天而牺牲今天。当今天完成了，本身就完成了，你就退休了。
— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富
I — 方法论骨架 (Interpretation)
把「时间」当作人生唯一不可再生的资产来定价： ① 设定个人时薪——高得离谱（作者没钱时也按 5000 美元/小时），它是自我价值声明； ② 用时薪做过滤——低于时薪的琐事外包或不做，高于时薪的事亲自做，每个决定都换算时间成本； ③ 时间即自由——「你永远不会比你设想的价值更高」，珍惜时间不是不能放松，而是不做不想做的事； ④ 退休重新定义——不为想象中的明天牺牲今天，途径有三：被动收入覆盖支出 / 支出归零 / 做热爱之事； ⑤ 不升级生活方式——收入涨消费不涨，被动收入很快覆盖支出，提前自由。
A1 — 书中的应用 (Past Application)
案例 1: 没钱时的 5000 美元时薪
- 问题: 年轻没钱时如何对待自己的时间
- 方法论的使用: 自定 5000 美元/小时；雇助理、扔坏音箱不修、外包做饭
- 结论: 低于时薪的琐事一律外包或放弃
- 结果: 作者自评实际回报已超过该时薪；「讽刺的是，我认为我实际上已经打败它了」
案例 2: 浪费时间即离场
- 问题: 聚会/活动浪费大量时间
- 方法论的使用: 发现浪费时间立刻离开（作者以粗鲁著称）
- 结论: 「珍惜你的时间。它是你的全部。它比你的金钱更重要。」
- 结果: 保留时间给想做的事/赚钱/学习
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 纠结琐事：「这 2 小时排队省 50 元值吗」「要不要自己修/自己跑」
- 时间失控：「每天都很忙但没产出」
- 外包决策：「要不要请人/雇助理」
- 财务自由规划：「我离退休/自由还差什么」
语言信号
- "怎么分配我的时间"
- "这钱该花吗（买时间）"
- "我该不该外包/请人"
- "how to value my time / delegate / retire early"
与相邻 skill 的区分
- 与
wealth-structure的区别: 时薪解决「怎么用时间」，财富结构解决「怎么建资产」 - 与
decision-heuristics的区别: 时薪是量化判据，决策启发式是结构判据
E — 可执行步骤 (Execution)
-
设定个人时薪
- 完成标准: 写下你的时薪数字，确认它「高得离谱、看起来荒谬」；否则上调
- 判停条件: 若用户感到舒服/合理，说明定低了，上调到荒谬
-
扫描本周时间账
- 完成标准: 列出本周所有活动，标注每项的机会成本（时薪×小时）
-
外包/删除低于时薪的活动
- 完成标准: 至少处理 3 项（外包、删除、或改变方式）
-
检查生活方式通胀
- 完成标准: 确认收入上涨时消费没有同步上涨（储蓄率是否提升）
-
重算自由进度
- 完成标准: 计算被动收入/支出比值，写下距离「不为明天牺牲今天」的差距
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 休息、陪伴家人、无目的放松（作者明确「只要在做想做的事，就不是浪费」）
- 用户现金流紧张时，外包建议需现实化（先算预算再外包）
作者在书中警告的失败模式
- 赚到钱就升级生活方式: 「如果你可以保持生活方式不变……你可能走得更远，实际上也已经财务自由了」
- 用忙碌掩盖低价值: 「你应该忙得没时间去'煮咖啡'，同时又要保持日程安排有序」
作者的盲点 / 时代局限
- 高时薪外包建立在可支配现金流上；对低收入者是奢侈建议
- 「忙到没时间煮咖啡」的强度适合创业者，不适合所有生活阶段
容易混淆的邻近方法论
decision-heuristics: 时薪是量化判据之一，不是唯一决策逻辑
相关 skills (阶段 3 定稿)
- composes-with:
decision-heuristics（时薪作判据）、happiness-skill（自由=幸福前提） - contrasts-with:
wealth-structure（时间效率 vs 资产结构）
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 125 lines · 146 tokens per session scan A ceb7dc671eac
hourly-rate-time is a skill published in the GitHub repository kangarooking/cangjie-skill (9,795 stars, last pushed 4d ago), licensed MIT. It adds 146 tokens to every session and 1,631 once invoked, about $0.0007 per session on Opus 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 2026-08-30.
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