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.
git 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/commands/lhfer/claude-howto-zh-cn/check-security)<a href="https://agentmods.dev/commands/lhfer/claude-howto-zh-cn/check-security"><img src="https://agentmods.dev/badge/commands/lhfer/claude-howto-zh-cn/check-security/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/commands/lhfer/claude-howto-zh-cn/check-security"><img src="https://agentmods.dev/badge/commands/lhfer/claude-howto-zh-cn/check-security.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 | $0.00013 | $0.00069 |
| Opus 5 | $0.00006 | $0.00034 |
| Sonnet 5 | $0.00003 | $0.00014 |
| Haiku 4.5 | $0.00001 | $0.00007 |
Grade A, and why
Security Check 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:
- Security Check — 100% identical, 0 lines differ
What it actually says
Security Check / 安全检查
重点检查：
- 认证与鉴权
- 数据暴露
- 注入漏洞
- 加密与密钥使用
- 日志中的敏感信息
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 · 15 lines · 13 tokens per session scan A 44803c2e1b1d
Security Check is a command published in the GitHub repository lhfer/claude-howto-zh-cn (2,294 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 69 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.