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 self-liberationgit 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/self-liberation)<a href="https://agentmods.dev/skills/kangarooking/cangjie-skill/self-liberation"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/self-liberation/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/self-liberation"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/self-liberation.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 | $0.00140 | $0.01620 |
| Opus 5 | $0.00070 | $0.00810 |
| Sonnet 5 | $0.00028 | $0.00324 |
| Haiku 4.5 | $0.00014 | $0.00162 |
Grade A, and why
self-liberation 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 10d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
自我解放：期望、愤怒与自由
R — 原文 (Reading)
如果你伤害别人是因为他们对你有期望，那是他们的问题。如果他们和你有约定，那就是你的问题。……愤怒是一种尽可能强烈地向对方表明你有能力使用暴力的方式。愤怒是暴力的前兆。……生活水平远远低于自己经济收入的人，享受着忙于改善生活方式的人无法理解的自由。
— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第二章·幸福
I — 方法论骨架 (Interpretation)
自由的定义会从「享有自由」（想做什么就做什么）升级为「免于自由」（免于被迫反应、免于愤怒、免于被迫做事）。 三个可操作的解放源： ① 期望边界——区分「期望」和「约定」：约定（合同/债务/承诺）必须守，期望（别人脑内剧本）不是你的问题；「勇气是不在乎别人的想法」； ② 愤怒解体——愤怒是与自己签订的契约（身心混乱直到现实改变），也是暴力的前兆；它先伤害握煤的人自己； ③ 就业自由——生活水平低于收入的人才有说「不」的底气；尝到自由的滋味，可能会让你失业，但那是自由的代价。 时间是最硬的边界：珍惜时间高于一切，不在不想做的事/取悦别人上花时间。
A1 — 书中的应用 (Past Application)
案例 1: 不再为小事愤怒
- 问题: 年轻时把愤怒当力量（「在我年轻充满睾丸的时候」）
- 方法论的使用: 把愤怒定义为热煤/暴力前兆，从生活里剔除愤怒者
- 结论: 「愤怒是你握在手里的一块热煤炭，等着把他扔给别人」
- 结果: 愤怒不再是核心价值观
案例 2: 低生活成本的自由
- 问题: 如何拥有说「不」的能力
- 方法论的使用: 保持生活水平低于收入
- 结论: 「生活水平远远低于自己经济收入的人，享受着忙于改善生活方式的人无法理解的自由」
- 结果: 财务缓冲=话语自由
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 被家人/老板/社会的期望绑架：「他们觉得我应该……」
- 经常愤怒：「我控制不住生气」
- 不敢拒绝：「怕得罪人，总在取悦别人」
- 想辞职但不敢：「被工作困住了怎么办」
语言信号
- "他们对我的期望压得我喘不过气"
- "我总是忍不住生气"
- "怎么拒绝别人/怎么说不"
- "expectations / anger / how to say no / freedom"
与相邻 skill 的区分
- 与
honesty-communication的区别: 诚实是内部一致性，本 skill 是外部边界 - 与
identity-work的区别: 本 skill 解放「被期望绑架的自我」；身份工作处理「自我本身的结构」
E — 可执行步骤 (Execution)
-
拆分期望与约定
- 完成标准: 列出你感到压力的所有「应该」，逐个标注「约定（要守）」或「期望（别人的问题）」
-
做一次期望断舍离
- 完成标准: 挑 1 个纯期望，明确告诉对方「这是你的期望，不是我的约定」；或直接停止迎合
- 判停条件: 若涉及真实合同/债务/承诺，先履行约定再谈自由
-
愤怒检查
- 完成标准: 下次愤怒触发时，暂停并写下「我在生什么气？这值得我支付身心混乱吗？」
-
检查就业自由缓冲
- 完成标准: 计算支出/收入比；若接近 1:1，制定 3 个月降支计划（为自由买期权）
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 真实违约/负债场景（约定必须守，别用「期望论」自我开脱）
- 工作中不能立即辞职的人（先建缓冲，再谈就业自由）
作者在书中警告的失败模式
- 把「期望」当「约定」: 守错合同会耗尽自己
- 用愤怒做谈判工具: 愤怒=暴力前兆，先伤己再伤人
作者的盲点 / 时代局限
- 「别人的期望不是你的问题」在家庭/集体文化中的执行成本被低估
- 作者有财务安全网；无缓冲者直接说「不」可能失业
容易混淆的邻近方法论
honesty-communication: 拒绝别人时，本 skill 给边界，诚实 skill 给表达方式
相关 skills (阶段 3 定稿)
- composes-with:
happiness-skill、identity-work、honesty-communication
审计信息
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.
- 10d ago First seen · 121 lines · 140 tokens per session scan A a9990170ff4d
self-liberation is a skill published in the GitHub repository kangarooking/cangjie-skill (9,743 stars, last pushed 4d ago), licensed MIT. It adds 140 tokens to every session and 1,620 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.
Other skills, from other repositories
ownership-mindset
An investing mindset that treats buying a share as owning part of a company, rather than betting on its price movements.
capability-circle
A framework for deciding which companies and industries an investor understands well enough to judge their future cash flow.
concentrated-investing
An investing framework about putting a larger share of money into a small number of companies you understand well. It distinguishes concentrated investing from broad diversification used for general wealth management.
dcf-valuation
An investing method for estimating whether a company's share price is cheap by thinking about its future cash earnings. DCF means discounted cash flow, a way to value future money in today's terms.
equanimity-mindset
An investing skill for regaining calm and making decisions based on a company’s long-term cash flows when price changes trigger fear, greed, or comparison with others.
good-business
An analysis framework for judging whether a company has a durable competitive advantage, meaning rivals may struggle to take its customers or profits over time.