Install
$ agentstack add skill-r2h1-my-book-skills-v03-72 ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
72小时行动法则
R(核心引文)
> "当你决定做一件事情的时候,你必须在 72 小时之内完成它,否则你很可能就永远不会再做了。" > > "不是试试看,而是去行动 ! 如果你只是带着试试看的心态,那么你最后只会以失败而告终,你会一事无成。尝试纯粹是一种借口,你还没有做,就已经给自己想好了退路。不能试验,你只有两个选择——做或者不做。"
I(底层原理)
72小时是行动窗口期。决策后的兴奋和动力在72小时内保持高峰,之后迅速衰减。拖延的本质是大脑对新行动的心理门槛随时间升高。72小时内完成第一步(哪怕是很小的一步)能绕过这个门槛,让行动进入正反馈循环。
A1(过去应用)
吉娅决定做梦想相册后因为拖延一直没找照片,钱钱指出她违反了72小时规定。之后她立即行动:当天准备好储蓄罐,第二天开始收集照片。同样,她决定演讲后72小时内完成了报名和排练安排。
A2(未来触发场景)
- 你刚做了一个决定但感觉"等准备好了再做"时
- 一个新想法出现但兴奋感在下降时
- 任何你想做但一直在拖延的事情
- 学了新技能但还没实践时
E(执行步骤)
- 做决定时立即设定72小时内的截止时间
- 写下来并告诉一个人你的计划(社会承诺效应)
- 72小时内完成第一步(不要求全部完成,哪怕是打个电话、写个开头)
- 完成后给自己一个奖励
- 如果错过72小时,重新做决定而不是放弃
B(边界与局限)
重大决策需要充分调研,72小时内强行行动可能会仓促犯错。区分"谨慎决策"和"拖延借口"是关键。此法适用于执行类决定而非决策类决定(先决策再执行,决策环节可以慢)。
相关技能
- [梦想清单与视觉化](v01-梦想清单与视觉化/SKILL.md)
- [演讲与克服恐惧](v13-演讲与克服恐惧/SKILL.md)
- [兴趣变现](v05-兴趣变现/SKILL.md)
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: R2h1
- Source: R2h1/my-book-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.