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 happiness-skillgit 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/happiness-skill)<a href="https://agentmods.dev/skills/kangarooking/cangjie-skill/happiness-skill"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/happiness-skill/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/happiness-skill"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/happiness-skill.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 | $0.00136 | $0.01574 |
| Opus 5 | $0.00068 | $0.00787 |
| Sonnet 5 | $0.00027 | $0.00315 |
| Haiku 4.5 | $0.00014 | $0.00157 |
Grade A, and why
happiness-skill 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
幸福技能
R — 原文 (Reading)
现在，我相信幸福其实是一种默认状态。当你消除生命中的缺憾感时，幸福就在那里。……欲望是你与自身定下的契约，直到你得到你想要的之前，你都不会快乐。
— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第二章·幸福
I — 方法论骨架 (Interpretation)
幸福不是要添加的积极情绪，而是缺憾感清空后自动浮现的默认状态——像孩子一样沉浸当下。 因此通往幸福的路线是「减法」： ① 识别欲望契约——每个欲望都是「得到前不快乐」的合同，一整天签太多份就一整天不快乐； ② 同时只保留一个重大欲望——给你目标和动力，两个以上就分心； ③ 活在当下——思维流向未来（妄想）或过去（悔恨）时幸福感最低； ④ 把幸福当技能训练——冥想、习惯、同伴、接受练习，基线可像肌肉一样逐步提高（作者 2/10→9/10）。 判断幸福的标准不是快乐感而是平和：一个快乐的人不是一直快乐的人，而是能不失内心平和地诠释事情的人。
A1 — 书中的应用 (Past Application)
案例 1: 从 2/10 到 9/10
- 问题: 十年前自评快乐 2/10–3/10，且不重视快乐
- 方法论的使用: 把幸福当最重要的事，用技巧系统培养（冥想/欲望管理/接受/习惯）
- 结论: 「幸福是一种技能，是你做出的一种选择」
- 结果: 今日 9/10，且作者强调金钱只占其中很小部分
案例 2: 欲望是痛苦的轴心
- 问题: 想要的东西越来越多，越来越不满足
- 方法论的使用: 意识到「我试图在我生活中的任何时候都不拥有多于一个的大欲望」
- 结论: 欲望=选择不幸的契约，清醒地选择它
- 结果: 欲望从自动发生变成受控选择
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 情绪低谷：「我为什么不快乐」
- 欲望失控：「想要的东西永远填不满」
- 焦虑反刍：「脑子停不下来，总担心未来/悔恨过去」
- 目标达成后空虚：「得到之后反而更空虚」
语言信号
- "怎么才能更幸福/快乐"
- "我总是不满足/焦虑"
- "欲望太多怎么办"
- "how to be happy / why am I unhappy / desires"
与相邻 skill 的区分
- 与
acceptance的区别: 本 skill 是幸福总体框架；接受是其中一种核心技术 - 与
monkey-mind-meditation的区别: 冥想是工具，本 skill 是目标定义
E — 可执行步骤 (Execution)
-
清点欲望契约
- 完成标准: 写下当前所有「在得到前不快乐」的欲望，标出其中 1 个重大欲望，其余降级或删除
-
检查时间流向
- 完成标准: 记录 1 天里花在未来妄想/过去悔恨/当下体验的时间比例，找出最大漏点
-
选择一个幸福训练动作
- 完成标准: 从冥想/习惯替换/同伴选择/接受练习中选 1 项，定为每日最小习惯
- 判停条件: 若用户有临床抑郁症状（持续 2 周以上低情绪），提示寻求专业帮助并停止本流程
-
每周复盘幸福基线
- 完成标准: 每周自评 1–10 并记录，确认基线在缓慢上升
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 临床抑郁/焦虑障碍（本 skill 不替代医疗；作者方法建立在无严重心理疾病的前提上）
- 物质匮乏或安全危机场景（先解决生存，再谈幸福技能）
作者在书中警告的失败模式
- 把幸福当积极思维: 「每个积极的想法基本上都包含着一个消极的想法」
- 追求幸福反失幸福: 「如果我执著于一种感觉……我就是在放弃那种幸福」
作者的盲点 / 时代局限
- 「幸福=选择」忽略生物性因素（抑郁/激素/疾病）
- 幸福可训练的证据是作者个人经验（n=1），不具普遍统计效力
容易混淆的邻近方法论
acceptance: 接受是幸福的下游技术
相关 skills (阶段 3 定稿)
- composes-with:
acceptance、monkey-mind-meditation、screen-detox、game-selection
审计信息
- 验证通过: V1 ✓ / V2 ✓ / V3 ✓ (v10)
- 测试通过率: 见 test-results.md
- 蒸馏时间: 2026-08-01
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 · 124 lines · 136 tokens per session scan A 93d926353ba7
happiness-skill is a skill published in the GitHub repository kangarooking/cangjie-skill (9,795 stars, last pushed 4d ago), licensed MIT. It adds 136 tokens to every session and 1,574 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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