shuorenhua: Instructions file for Codex

AGENTS.md

shuorenhua AGENTS.md is an instructions file for Codex, OpenCode from MrGeDiao/shuorenhua. It costs 417 tokens per session, scanned A, original, MIT.

Chinese-first repository instructions for Shuorenhua, covering language, writing style, layout, and collaboration practices. They explain where skills, evaluation cases, and temporary task files belong.

In plain words
What is it for?
Writing Chinese-facing documentation, organizing skill and task files, and following the project’s delegation and commit conventions.
Why use it?
They keep project communication consistent and prevent temporary planning material or unwanted authorship details from entering the repository.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; reads ~/.codex paths; mentions Codex.

This is MrGeDiao/shuorenhua's own configuration. It tells Codex and OpenCode how to work on shuorenhua itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything shuorenhua configures →

About the project

说人话 is a Chinese-first rewriting skill that removes formulaic AI wording, inflated claims, translation-like phrasing, and unsupported conclusions while preserving the original facts. It is for developers, maintainers, and writers preparing READMEs, release notes, work updates, issue replies, forum posts, and technical writing with coding agents or ChatGPT. The catalogue entries are its instructions, plugin, and skill integrations for supported agents.

MrGeDiao/shuorenhua · 2,290 stars · on GitHub · chatgpt.com

Reuse

Borrowing it

Nothing to install: this file belongs to MrGeDiao/shuorenhua. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/MrGeDiao/shuorenhua/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/MrGeDiao/shuorenhua

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for shuorenhua AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mrgediao/shuorenhua/agents-md/github.svg)](https://agentmods.dev/instructions/mrgediao/shuorenhua/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/mrgediao/shuorenhua/agents-md"><img src="https://agentmods.dev/badge/instructions/mrgediao/shuorenhua/agents-md/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.

agentmods 80×15 button for shuorenhua AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/mrgediao/shuorenhua/agents-md"><img src="https://agentmods.dev/badge/instructions/mrgediao/shuorenhua/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 417 This file is loaded in full into every session.
When invoked 417 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00417 $0.00417
Opus 5.5 $0.00167 $0.00167
Sonnet 5.5 $0.00083 $0.00083
Haiku 4.5 $0.00042 $0.00042

Measured 1mo ago against content hash be4dc83a320b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

shuorenhua AGENTS.md 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.

AGENTS.md · 23 lines

What it actually says

仓库说明

语言

  • 本仓库中文优先。标题、摘要、建议、线程名、面向用户的解释默认用简体中文,除非源材料明显是英文语境。
  • 代码、文件路径、命令名、API 名和约定俗成的技术术语保持原文;翻译反而降低清晰度的不翻。

风格

  • 跟随仓库现有文风:直接、具体、低套路,不带翻译腔。
  • 中英混排内容以中文为框架,只保留必要的英文术语。

布局

  • SKILL.md 是 skill 入口;evals/ 放评测用例;automation/ 放评测与自动化脚本。
  • tasks/ 是 gitignored 工作区(current/ 进行中、archive/ 已完成、external-inputs/ 外部收集材料)。规划和过程文档只进这里,永不进提交历史。

协作

  • 提交一律以仓库所有者名义,不加 AI 署名行(不写 Co-Authored-By),这是既定约定。
  • 本仓库是开发源;运行安装包位于 ~/.codex/skills/shuorenhua,~/.agents/skills/shuorenhua 与 ~/.claude/skills/shuorenhua 链接到该安装包。修改源文件不会自动上线。
  • 发布时只同步运行所需的 SKILL.md、参考资料、样例与元数据,并检查相对引用;不要将整个开发仓库链接到 Skills 扫描目录,避免把 tasks/ 下的历史评测快照加载成多个同名 Skill。安装包可有明确记录的本地入口精简,升级前先核对差异。
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. 1mo ago Changed · +50 tokens per session be4dc83a320b
  2. 1mo ago First seen · 23 lines · 367 tokens per session scan A f55cb3cbf4a7

Subscribe to this mod's changes

shuorenhua AGENTS.md is an instructions file published in the GitHub repository MrGeDiao/shuorenhua (2,290 stars, last pushed yesterday), licensed MIT. It adds 417 tokens to every session, about $0.0017 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.

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