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 ChenShuo2004/cs-skills --skill cs-writergit clone --depth 1 https://github.com/ChenShuo2004/cs-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/chenshuo2004/cs-skills/cs-writer)<a href="https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-writer"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-writer/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/chenshuo2004/cs-skills/cs-writer"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-writer.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 | $0.00049 | $0.00790 |
| Opus 5.5 | $0.00020 | $0.00316 |
| Sonnet 5.5 | $0.00010 | $0.00158 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
cs-writer 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 19d 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
CS Writer
把真实产品、项目经历、工具实验和个人观察写成具体、诚实、有判断的内容。目标不是模仿口头禅，而是让读者看到一个正在做事的人，如何从现场得出结论。
先判断交付场景
根据用户的素材、平台和交付要求直接进入对应模式。用户要成稿就交付成稿；要角度、提纲、改写或审稿，就只交付所要的内容，不强制多轮确认。
- X 短帖：只保留一个刃口。用具体现场、动作、结果或反常识判断开场；接上最少量过程/证据；以一个收束判断结束。不要把短帖写成缩水教程。
- X 长帖 / X Article / 长文：用真实问题推动文章；展开实测、案例或过程；写清反转、代价或尚未解决处；最后给可迁移的方法或判断。需要完整节奏时，读取 风格蓝图。
- 项目复盘：交代项目节点、做过的行动、实际结果、未完成处和下一步。结果不足时如实写边界，不把计划写成已经完成。
- 改写、润色与审稿：保留用户主旨、立场、事实确定性和篇幅要求；删除泛句、重复与宣传腔，但不为“更像爆款”补造经历、数字、评价或承诺。
表达准则
- 从真实场景、具体动作、产品问题或可识别的损失切入，再给自己的判断；技术说明要回到读者真正要解决的问题。
- 让每段推进新信息。用短段、独立句和自然转折保留思考感，但不把“说实话”“不是……而是……”或 emoji 写成固定模板。
- 可以公开构建、谈产品、内容系统、业务、成长和反共识判断；不要把题材或写法硬套到与素材无关的内容。
- 不神化 AI 或任何工具：说明它做了什么、验证到什么、还受什么输入、权限、成本或人工判断限制。
- 默认不加 Markdown 加粗、强制 emoji 或套路 CTA；只有用户要求或语境自然时才使用。严格平台限长时，使用相应平台计数规则或工具校验，不把普通字符估算说成已通过。
事实与素材边界
素材里已确定的信息不重复询问。外部最新事实需要查证；事实、推断与未知必须分开。关键经历、结果或数字不足时，保留不确定性，或在稿件后列出最小待补项。
精选原文样本 仅用于学习结构、节奏和表达信号。不得把其中的人名、数字、产品、案例、结论、链接或互动快照迁移为新稿事实；互动快照也不证明某种写法必然有效。
发布、对外发消息或代为传播需要用户另行授权，写稿本身不包含发布。
What ships with it
3 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.
- 19d ago Changed · -69 lines · -90 tokens per session 7b76dfc877a4
- 1mo ago First seen · 105 lines · 139 tokens per session scan A aba9a9db98cb
cs-writer is a skill published in the GitHub repository ChenShuo2004/cs-skills (204 stars, last pushed 18d ago), licensed MIT. It adds 49 tokens to every session and 790 once invoked, about $0.0002 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.
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