Claude Code 中文全面上手指南 is a Chinese-language learning guide for using Claude Code and combining features such as commands, memory, skills, hooks, MCP, subagents, and plugins. It is aimed at Chinese beginners and provides learning paths, examples, and compatibility guidance, while the catalogue entries package parts of that guidance as agent resources.
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 lhfer/claude-howto-zh-cn --skill blog-draftgit clone --depth 1 https://github.com/lhfer/claude-howto-zh-cnWrote 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/lhfer/claude-howto-zh-cn/blog-draft)<a href="https://agentmods.dev/skills/lhfer/claude-howto-zh-cn/blog-draft"><img src="https://agentmods.dev/badge/skills/lhfer/claude-howto-zh-cn/blog-draft/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/lhfer/claude-howto-zh-cn/blog-draft"><img src="https://agentmods.dev/badge/skills/lhfer/claude-howto-zh-cn/blog-draft.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 | $0.00039 | $0.00450 |
| Opus 5 | $0.00019 | $0.00225 |
| Sonnet 5 | $0.00008 | $0.00090 |
| Haiku 4.5 | $0.00004 | $0.00045 |
Grade A, and why
blog-draft 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- blog-draft — 88% identical, 4 lines differ
What it actually says
Blog Draft / 博客草稿生成
用户输入
$ARGUMENTS
用户最好提供：
- 主题 / 想法
- 参考资料（URL、文件、笔记）
- 目标读者
- 语气风格
如果用户是在修改已有草稿，直接从“迭代草稿”阶段开始。
执行流程
Step 1: 创建文章目录
目录格式：
blog-posts/
└── YYYY-MM-DD-short-topic-name/
└── resources/
Step 2: 整理资料
对每个资料生成摘要文件，至少包含：
- 关键观点
- 可引用的数据或句子
- 与主题的关联
Step 3: 明确文章方向
整理并向用户确认：
- 主要观点
- 可选角度
- 核心论点
- 信息缺口
Step 4: 先产出大纲
生成 OUTLINE.md，包含：
- 目标读者
- 语气
- 目标篇幅
- 核心 takeaway
- 文章结构
- 计划引用的资料
Step 5: 写草稿
按大纲生成 draft-v0.1.md，要求：
- 有吸引人的开头
- 结构清晰
- 有证据和例子
- 重要事实带引用
- 结尾有总结或行动建议
Step 6: 迭代
如果用户要求修改：
- 记录反馈
- 递增版本号
- 保存为
draft-v0.2.md、draft-v0.3.md
输出要求
- 先给结构，再写全文
- 引用要清楚
- 表达可以中文化，但文件和目录命名保持可管理
What ships with it
2 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.
- 13d ago First seen · 86 lines · 39 tokens per session scan A 88ab9bea6e85
blog-draft is a skill published in the GitHub repository lhfer/claude-howto-zh-cn (2,294 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 450 once invoked, about $0.0002 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.
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