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 ChanningLua/prax-agent --skill chinese-codinggit clone --depth 1 https://github.com/ChanningLua/prax-agentWrote 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/channinglua/prax-agent/chinese-coding)<a href="https://agentmods.dev/skills/channinglua/prax-agent/chinese-coding"><img src="https://agentmods.dev/badge/skills/channinglua/prax-agent/chinese-coding/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/channinglua/prax-agent/chinese-coding"><img src="https://agentmods.dev/badge/skills/channinglua/prax-agent/chinese-coding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00020 | $0.00313 |
| Opus 5.5 | $0.00008 | $0.00125 |
| Sonnet 5.5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
chinese-coding 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 1mo 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
中文编程技能
规则
- 所有注释和文档字符串使用中文
- 变量名和函数名使用英文（遵循 PEP 8 / camelCase），但需有中文注释说明用途
- 错误信息和日志输出使用中文
- 提交信息（commit message）使用中文
- README 和文档文件使用中文
代码风格
# 用户认证模块
class UserAuth:
"""用户认证管理器，处理登录、注销和权限验证。"""
def verify_token(self, token: str) -> bool:
"""验证 JWT token 是否有效。
Args:
token: 待验证的 JWT 字符串
Returns:
True 表示 token 有效，False 表示无效或已过期
"""
...
注意事项
- 技术术语（API、HTTP、JSON 等）保持英文
- 代码中的字符串常量如果面向用户，使用中文
- 测试用例的描述使用中文
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.
- 1mo ago First seen · 45 lines · 20 tokens per session scan A ae84f86bbf79
chinese-coding is a skill published in the GitHub repository ChanningLua/prax-agent (272 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 313 once invoked, about $0.0001 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.
Other skills, from other repositories
chinese-documentation
A Chinese technical-documentation style guide covering spacing, punctuation, numbers, terminology, and links when Chinese and English appear together.
humanizer-zh-next
A Chinese-language editing skill that rewrites text to sound more natural and less like it was generated by artificial intelligence.
fanyi
A command-line tool for translating between Chinese and English and looking up words or short phrases. It combines dictionary results with a language-model translation, including meanings, pronunciation, related words and examples.
seedance-vocab-zh
This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.
youtube-transcribe
A tool that downloads YouTube videos or subtitles, turns speech into text, and can translate English into Chinese in a bilingual Markdown file.
qu-ai-wei
A tool for rewriting Simplified Chinese so it sounds more natural while keeping the original facts, meaning, evidence strength, tone, and authorial voice.