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 deep-workgit 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/deep-work)<a href="https://agentmods.dev/skills/muyuhill/100books-to-skills/deep-work"><img src="https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/deep-work/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/deep-work"><img src="https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/deep-work.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 | $0.00055 | $0.01111 |
| Opus 5 | $0.00028 | $0.00556 |
| Sonnet 5 | $0.00011 | $0.00222 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
deep-work 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 12d 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.
What it actually says
Deep Work — 在分心时代夺回专注力
深度工作：在无干扰的状态下进行专注的职业活动，将认知能力推向极限。这种努力创造新价值，提升技能，且难以复制。
Cal Newport 的核心主张：在一个越来越碎片化的世界里，能够长时间深度专注的人，是稀缺的——稀缺 = 值钱。
深度工作 vs 浮浅工作
| 深度工作 | 浮浅工作 | |
|---|---|---|
| 特征 | 无干扰、认知极限、创造新价值 | 有干扰、低认知、可替代 |
| 例子 | 写代码、写作、设计、研究 | 回邮件、开会、刷消息 |
| 价值 | 高，难以复制 | 低，容易被替代或自动化 |
| 感觉 | 难，但做完有成就感 | 轻松，但一天下来什么都没做成 |
核心洞察：你感觉自己「很忙」的那一天，通常做的全是浮浅工作。
四种深度工作哲学
| 模式 | 怎么操作 | 适合谁 |
|---|---|---|
| 禁欲模式 | 完全隔离，长时间不接触外界 | 作家、研究员 |
| 双峰模式 | 把一年/一周分成两块：深度期和浮浅期 | 有固定假期的人 |
| 节奏模式 | 每天固定时段深度工作（如 6-9 AM） | 大多数人，最实用 |
| 记者模式 | 随时随地抓住空隙进入深度 | 日程不可预测的人 |
建议从节奏模式开始：每天早上 2-3 小时，手机关机，不做任何浮浅任务。
深度工作的四条准则
准则一：深度工作（Work Deeply）
- 设定固定的深度工作时间段：不商量，不可被占用
- 创造仪式：固定地点、固定时间、固定时长
- 关门：物理上隔绝干扰
准则二：拥抱无聊（Embrace Boredom）
如果你在等红灯的 30 秒里都必须刷手机，你的大脑已经失去了「什么都不做」的能力。而这种能力是深度工作的前提。
- 排队时不刷手机——训练大脑忍受无聊
- 散步不带耳机——让大脑自由联想
- 不要「多任务」——那不是效率，那是切换成本
准则三：戒掉社交媒体（Quit Social Media）
不是「少刷」，是「为什么要刷」。
对每个社交平台问：它是我职业成功的核心工具，还是娱乐？如果是后者，删掉。你可以在 30 天实验后再决定要不要装回来。
准则四：减少浮浅工作（Drain the Shallows）
- 每天安排浮浅工作的时间上限（如 2 小时）
- 拒绝不必要的会议
- 回复邮件只在一两个时间段做——不要让邮件定义你的日程
深度工作的反直觉真相
高质量产出 = 投入时间 × 专注强度。不是时间长就产出多——是被打断的时间完全不算。
被打断一次，重新进入深度需要 15-25 分钟。一天被打断 5 次 = 损失 2 小时。
快速上手：今天就能开始
- 选一个模式：推荐节奏模式——每天早上 8-11 点为深度工作时间
- 关掉手机：物理上放在另一个房间
- 设定产出目标：不是「写代码」，是「完成功能 X」
- 记录深度工作时长：追踪数字，每天目标 2-3 小时
- 安排休息：深度工作后必须恢复——散步、小睡、运动
一句话总结
在一个分心的世界里，专注力不是天赋——是选择。每天 3 小时深度工作，远超 8 小时浮浅忙碌。
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.
- 12d ago First seen · 96 lines · 55 tokens per session scan A 36923f0ce56b
deep-work is a skill published in the GitHub repository muyuhill/100books-to-skills (12 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 1,111 once invoked, about $0.0003 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
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.