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 muyuhill/100books-to-skills --skill atomic-habitsgit clone --depth 1 https://github.com/muyuhill/100books-to-skillsWrote 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/muyuhill/100books-to-skills/atomic-habits)<a href="https://agentmods.dev/skills/muyuhill/100books-to-skills/atomic-habits"><img src="https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/atomic-habits/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/muyuhill/100books-to-skills/atomic-habits"><img src="https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/atomic-habits.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 | $0.00063 | $0.01743 |
| Opus 5.5 | $0.00025 | $0.00697 |
| Sonnet 5.5 | $0.00013 | $0.00349 |
| Haiku 4.5 | $0.00006 | $0.00174 |
Grade A, and why
atomic-habits 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 2mo 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Atomic Habits — 原子习惯四步法
你不决定你的未来,你的习惯决定。每天进步 1%,一年后你会变好 37 倍。
James Clear 的核心主张:不要把焦点放在目标上,放在系统上。 赢家和输家有同样的目标——区别在于前者有一套每天执行的系统。
习惯的四步循环
提示(Cue)→ 渴求(Craving)→ 反应(Response)→ 奖励(Reward)
↑ │
└──────────────── 循环强化 ──────────────────────────┘
| 步骤 | 问题 | 大脑在做什么 |
|---|---|---|
| 提示 | 触发行为 | 检测奖励的信号 |
| 渴求 | 驱动行为 | 想要那个奖励 |
| 反应 | 执行行为 | 实际做这件事 |
| 奖励 | 强化行为 | 得到满足感 |
行为改变四大法则
第一法则:让它显而易见(Make It Obvious)
很多人认为自己缺乏动力,其实缺乏的是清晰度。
具体策略:
1. 习惯记分卡 写下你每天做的所有事,标注是好习惯(+)、坏习惯(-)还是中性(=)。先觉察,再改变。
2. 执行意图(Implementation Intention) 公式:「我会在 [时间] 在 [地点] 做 [行为]」
- ✘ 「我要多运动」
- ✔ 「我每天下午 6 点在小区的健身房跑步 20 分钟」
3. 习惯叠加(Habit Stacking) 公式:「在 [现有习惯] 之后,我会做 [新习惯]」
- 「冲完咖啡之后,我会冥想一分钟」
- 「脱下工作鞋之后,我会立刻换上运动服」
4. 环境设计
与其依赖自控力,不如设计环境。
- 想多读书?把书放在枕头上——不拿开没法睡
- 想少刷手机?睡前一小时把手机放在另一个房间
第二法则:让它有吸引力(Make It Attractive)
我们之所以有习惯,是因为我们对奖励的预期驱动了我们。
具体策略:
1. 诱惑捆绑(Temptation Bundling) 公式:「做完 [需要的习惯] 之后,我可以做 [想做的事]」
- 「健完身之后,我才能看 Netflix」
- 「写完 500 字之后,才能刷小红书」
2. 加入一个群体
我们模仿三种人:亲近的人、多数人、有权势的人。
加入一个已经有你想要的行为习惯的群体——习惯会传染。
3. 重构心态 不是「我必须做」,是「我选择做」。
- 「我必须早起」→「我选择早起,因为我想要安静的两小时」
- 「我得去健身」→「我能去健身,说明我身体还健康」
第三法则:让它简单易行(Make It Easy)
最有效的学习方式是实践,不是计划。专注于行动,而非完美。
具体策略:
1. 减少阻力
不是培养习惯的意志力,是降低习惯的门槛。
- 想健身?提前一晚把运动服放在床边
- 想写作?提前打开文档,只写一句话——通常写完第一句后面就停不下来了
2. 两分钟规则
新习惯开始时,控制在两分钟以内。
- 「每晚阅读」→「读一页」
- 「做 30 分钟瑜伽」→「铺开瑜伽垫」
- 「复习功课」→「打开笔记本」
先标准化,再优化。 先把习惯建立起来,然后再慢慢增加强度。
3. 一次一个习惯
同时培养多个习惯 = 全部失败。
第四法则:让它令人满足(Make It Satisfying)
能立刻得到奖励的行为会被重复。延迟奖励的行为不会被重复。
具体策略:
1. 即时奖励 坏习惯的奖励是即时的(吃薯片当下就爽),后果是延迟的(变胖需要时间)。好习惯恰好相反——好处延迟,痛苦即时。
解法:为好习惯创造即时奖励。
- 健完身 → 往「旅行基金」里转 20 元
- 连续写作 5 天 → 周末去喜欢的咖啡馆
2. 习惯追踪(Habit Tracker)
不要打破链条。
在日历上每天打勾。连续的天数越长,你越不想断——这就是「链条效应」。
3. 问责伙伴 找一个会监督你的人。给别人一个承诺,你执行的概率会翻倍。
4. 永不错过两次
每个人都会偶尔断一天。顶尖高手和普通人的区别:高手不会连续错过两次。
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.
- 2mo ago First seen · 177 lines · 63 tokens per session scan A 2b97dd5a1020
atomic-habits is a skill published in the GitHub repository muyuhill/100books-to-skills (14 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 1,743 once invoked, about $0.0003 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 2026-08-30.
atomic-habits compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| atomic-habitsmuyuhill/100books-to-skills | Skill | 14 | 4mo ago | MIT | A | 63 | Claude Code, Codex |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 30 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 6d ago | MIT | A | 33 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |