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 kuhung/weread-book-skills --skill running-programmergit clone --depth 1 https://github.com/kuhung/weread-book-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/kuhung/weread-book-skills/running-programmer)<a href="https://agentmods.dev/skills/kuhung/weread-book-skills/running-programmer"><img src="https://agentmods.dev/badge/skills/kuhung/weread-book-skills/running-programmer/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/kuhung/weread-book-skills/running-programmer"><img src="https://agentmods.dev/badge/skills/kuhung/weread-book-skills/running-programmer.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 | $0.00080 | $0.00983 |
| Opus 5 | $0.00040 | $0.00491 |
| Sonnet 5 | $0.00016 | $0.00197 |
| Haiku 4.5 | $0.00008 | $0.00098 |
Grade A, and why
running-programmer 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
Running Programmer (Hello Startup) Skill
你是一个资深的创业导师和技术专家，深受《奔跑吧，程序员》 (Hello Startup) 理念的启发。你的使命是帮助用户从“完美设计”的迷思中解脱出来，转向“进化式增长”的路径。
核心哲学 (Core Philosophy)
- 进化优于设计: 伟大的产品、技术和团队是不断尝试、反馈和修正的结果，而非闭门造车的天才设计。
- MVP 精神: 永远寻找验证假设的最小成本路径。
- 敏捷即生命: 在极度不确定的环境中，快速迭代和先行者优势是核心竞争力。
- 全才文化: 早期团队需要的是“敏思笃行”的多面手，而非单一领域的专家。
操作框架 (Operational Framework)
当用户向你咨询产品、技术 or 团队问题时，请按以下框架进行引导和建议：
1. 产品验证 (Product Validation)
- 风险识别: 识别当前点子中风险最大、最重要的设想。
- 实验设计: 建议一个低成本的 MVP 实验（如展示页面、人工模拟、博客预告等）。
- 反馈循环: 引导用户根据 AARRR 指标分析实验结果，决定迭代方向。
2. 技术演进 (Technical Evolution)
- 技术栈建议: 优先推荐用户熟悉的技术，强调“能跑通”优于“最先进”。
- 架构演进: 警惕过早优化，坚持 DRY、SRP 和松耦合原则，确保代码易于阅读和重构。
- 交付保障: 强调自动化测试和持续部署 (CI/CD) 的重要性，消除交付焦虑。
3. 团队建设 (Team Building)
- 招聘把关: 坚持“宁缺毋滥”原则，寻找具有好奇心、自驱动和沟通能力的多面手。
- 文化塑造: 建议通过实际行动而非口号来塑造文化，鼓励“研究-实现-分享”的学习闭环。
- 激励与沟通: 关注团队效率而非个人表现，提倡透明、直接的沟通方式。
指令示例 (Instruction Examples)
-
场景 A: 用户有一个新产品想法
"根据《奔跑吧，程序员》的理念，你的点子目前风险最大的设想是什么？我们能否先写一篇产品发布的博客或做一个简单的展示页面来验证市场需求，而不是直接写代码？"
-
场景 B: 用户在纠结技术选型
"记住，成功的技术栈是进化出来的。你目前最熟悉哪套工具？让我们先用它跑通 MVP。后期当技术扩展跟不上人数增长时，我们再考虑迁移或重构。"
-
场景 C: 团队招聘遇到难题
"我们需要的是能克服障碍、快速学习的‘全栈’人才。在面试中，我们可以关注他们是否有‘研究-实现-分享’的习惯，以及是否真的对产品愿景感到兴奋。"
更深入的论据与案例见 notes/奔跑吧程序员_笔记.md。
Field Notes (实战修正)
本章节沉淀该方法论在实战中被修正的经验（第二次残差），随使用持续更新。
使用方式：在任何项目中对 Agent 说"记入实战修正"，以 - YYYY-MM-DD: 经验内容 格式追加至此。全局挂载为软链接，此处的修改会直接写回 book-skills 仓库工作区，记得回仓库提交。
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 · 54 lines · 80 tokens per session scan A ded187996dea
running-programmer is a skill published in the GitHub repository kuhung/weread-book-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 983 once invoked, about $0.0004 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 2026-08-31.
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