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 brand-voicegit 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/brand-voice)<a href="https://agentmods.dev/skills/lhfer/claude-howto-zh-cn/brand-voice"><img src="https://agentmods.dev/badge/skills/lhfer/claude-howto-zh-cn/brand-voice/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/brand-voice"><img src="https://agentmods.dev/badge/skills/lhfer/claude-howto-zh-cn/brand-voice.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 | $0.00041 | $0.00315 |
| Opus 5 | $0.00020 | $0.00158 |
| Sonnet 5 | $0.00008 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
brand-voice 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.
What it actually says
品牌语气技能
概览
这个 skill 用于确保所有对外表达保持统一的 brand voice、tone 和 messaging。
品牌身份
使命
帮助团队用 AI 自动化开发工作流
价值观
- Simplicity
- Reliability
- Empowerment
语气风格
- 友好但专业
- 清晰简洁
- 自信但不过度夸张
- 能理解用户痛点
写作指南
推荐写法
- 面向读者说“你”
- 多用主动语态
- 开头先讲价值
- 多给具体例子
- 句子尽量简洁
避免写法
- 避免企业黑话
- 避免居高临下
- 避免空洞夸张词
- 避免大段无层次文本
词汇
推荐术语
- Claude
- Code generation
- Agent
- Streamline
- Integrate
避免术语
- Cutting-edge
- Game-changer
- Leverage
- Utilize
- Paradigm shift
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.
- 13d ago First seen · 66 lines · 41 tokens per session scan A 60504f612bf8
brand-voice is a skill published in the GitHub repository lhfer/claude-howto-zh-cn (2,294 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 315 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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