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 laolaoshiren/claude-code-skills-zh --skill zh-readmegit clone --depth 1 https://github.com/laolaoshiren/claude-code-skills-zhWrote 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/laolaoshiren/claude-code-skills-zh/zh-readme)<a href="https://agentmods.dev/skills/laolaoshiren/claude-code-skills-zh/zh-readme"><img src="https://agentmods.dev/badge/skills/laolaoshiren/claude-code-skills-zh/zh-readme/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/laolaoshiren/claude-code-skills-zh/zh-readme"><img src="https://agentmods.dev/badge/skills/laolaoshiren/claude-code-skills-zh/zh-readme.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 | $0.00025 | $0.01105 |
| Opus 5 | $0.00013 | $0.00553 |
| Sonnet 5 | $0.00005 | $0.00221 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
zh-readme 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
中文 README 生成器
触发条件
当用户要求写 README、重写项目介绍、补全文档首页、优化开源仓库展示页时激活此技能。
核心原则
- 先读代码和目录,再写 README;不要只凭项目名猜功能。
- 面向中文开发者表达,技术名词保留英文,解释用自然中文。
- 首页要解决三个问题:这是什么、为什么值得用、怎么快速上手。
- 优先给出真实命令、真实路径、真实示例,少写空泛宣传语。
- 如果项目已有 README,先保留有效信息,再补全缺失结构。
- 如果项目包含官网或文档站,README 中必须给出统一、可点击的正式入口链接,避免 README / 官网 / Issue 模板地址不一致。
- 项目介绍页要尽量补上社交证明信号(如 Star、精选数量、更新时间、代表性场景),帮助访客快速判断是否值得继续浏览。
- README 首屏必须具备“30 秒价值判断”能力:首句价值主张 + 适合谁用 + 最短安装方式,缺一不可。
- 如果项目带官网、Issue 模板、下载镜像或社区入口,优先整理为单一正式入口,减少用户在多个链接间来回跳转。
- 如存在 badge、Hero 文案、官网首页等配套渠道,README 文案要与这些渠道保持口径一致,避免承诺和数据冲突。
首屏优化模板
- 一句话价值主张:明确解决什么问题,避免“强大/优雅/现代化”之类空词。
- 适合谁用:点名目标用户或典型场景,例如“面向中文开发者”“适合团队协作”“适合零配置上手”。
- 最短安装方式:给出一段可直接复制的命令,优先放 GitHub 原生地址;如有镜像,再作为补充。
- 统一入口:官网、文档、Issue 征集、下载方式尽量收敛到 1 个正式入口,减少用户决策成本。
- 社交证明:在不堆砌数据的前提下,展示 star、精选数量、更新时间或代表性案例。
推荐结构
# 项目名称
> 一句话价值主张,告诉用户“这东西解决什么问题”
[](link)
[](link)
[](link)
## ✨ 项目亮点
- 亮点 1:解决什么痛点
- 亮点 2:与同类方案相比优势是什么
- 亮点 3:适合谁使用
## 📦 安装
```bash
pip install xxx
# 或 npm install / go install / cargo install
🚀 快速开始
xxx init
xxx run
🧭 使用示例
from xxx import yyy
📁 项目结构
src/:核心实现tests/:测试docs/:扩展文档
❓ 适用场景
- 场景 1
- 场景 2
- 场景 3
🛠️ 开发
make test
make lint
🤝 贡献
欢迎 PR / Issue。
📝 License
MIT
## 工作流程
1. 检查项目结构、包管理文件、入口文件、测试目录和已有文档。
2. 提炼项目定位:目标用户、核心能力、和替代方案相比的差异点。
3. 优先补全“安装 / 快速开始 / 使用示例 / 项目结构 / 开发方式”。
4. 如果缺少真实命令,基于仓库中的 `package.json`、`pyproject.toml`、`Makefile`、`Cargo.toml` 等提取。
5. 用中文重写标题、摘要和亮点,避免“强大、优雅、现代化”这类空词。
6. 最后检查 README 是否能支持首次访问者在 30 秒内理解并开始使用。
## 输出要求
- 默认使用 Markdown。
- 标题层级清晰,emoji 适量,不要堆砌。
- 示例命令必须可复制。
- 如果信息不足,显式标注“待补充”,不要编造不存在的特性。
## 自检清单
- 是否说明了项目解决的问题?
- 是否给出最短可运行示例?
- 是否覆盖安装、使用、贡献、License?
- 是否避免了 AI 腔和空泛营销语?
- 是否让中文开发者一眼看懂?
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 · 106 lines · 25 tokens per session scan A e30e84d26619
zh-readme is a skill published in the GitHub repository laolaoshiren/claude-code-skills-zh (832 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,105 once invoked, about $0.0001 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
launch-tweet
Draft a launch tweet or short thread for a solo product launch on X / Twitter. Use when the user is shipping something (new product, major feature, side project) and asks for a launch post, "help me announce X", or mentions Product Hunt / Show HN / X launch.
postmortem-solo
Run a lightweight, blame-free postmortem after an incident, failed launch, or missed deadline — for one person. Use when the user says "that didn't go well", "the launch flopped", "we had an outage", "I missed my deadline", or wants to learn from a recent failure.
bug-from-user
Convert a vague user complaint into a reproducible bug report a solo dev can act on. Use when the user pastes a confusing customer message, says "user says it's broken but I can't repro", "this email makes no sense", or wants to triage a bug report.
changelog-from-commits
Generate a user-facing CHANGELOG entry from raw git log output. Use when the user is preparing a release, says "what changed since last version", asks to write release notes, or wants to summarize a batch of commits for end users.
standup-solo
Run a 5-minute personal standup for a solo dev — what shipped yesterday, what's blocked, what's next today. Use when the user asks for a daily check-in, says "what should I work on today", "what did I do yesterday", or wants to break out of a productivity slump.
email-customer
Draft a polite-but-firm reply to a tricky customer email — refund request, scope creep, complaint, billing dispute. Use when the user pastes a customer email and asks for a reply, mentions "how do I respond", "user is asking for a refund", "they want a discount", or any awkward customer-facing communication.