全部用中文

A set of instructions for producing coding work in Chinese, including pull-request titles, commit messages, reasoning summaries, and required unit tests.

In plain words
What is it for?
It is for Chinese-language code reviews and summaries, adding unit tests, and implementing documented interfaces.
Why use it?
It keeps the language consistent and reduces made-up integrations by requiring code to follow official documentation.

Agent

Install

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.

agentmods
npx agentmods add agents/binarywang/wxjava/my-agent
Clone the repo
git clone --depth 1 https://github.com/binarywang/WxJava
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 205 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00205
Opus 5 $0.00007 $0.00102
Sonnet 5 $0.00003 $0.00041
Haiku 4.5 $0.00001 $0.00020

Measured yesterday against content hash f8093fab5e5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

全部用中文 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 yesterday.

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.

.github/agents/my-agent.agent.md · 17 lines

What it actually says

My Agent

  • 1、请使用中文输出思考过程和总结,包括PR标题,提交commit信息也要使用中文;
  • 2、生成代码时需要提供必要的单元测试代码;
  • 3、实现接口时请严格按照官方文档编写代码,严禁瞎编乱造、臆想并实现不存在的接口;
  • 4、新增加的代码如果标记作者信息,请注意不要把作者名设为binarywang或者其他无关人员,要改为 GitHub Copilot。
Changes

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.

  1. yesterday First seen · 17 lines · 14 tokens per session scan A f8093fab5e5d

Subscribe to this mod's changes

全部用中文 is an agent published in the GitHub repository binarywang/WxJava (33,051 stars, last pushed 2d ago), licensed Apache-2.0. It adds 14 tokens to every session and 205 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.

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