agent-guidelines: Instructions file for Codex

AGENTS.md

agent-guidelines AGENTS.md is an instructions file for Codex, OpenCode from MageByte-Zero/agent-guidelines. It costs 2,324 tokens per session, scanned A, original, MIT.

Project instructions for AI coding and writing agents working on a full-stack application, which includes front-end and back-end code. They describe how to clarify work, stay technically accurate and make small, focused changes.

In plain words
What is it for?
Use them when planning, writing, changing or reviewing code and technical content in the MageByte-Zero/agent-guidelines project.
Why use it?
They reduce incorrect assumptions, invented technical details and unnecessary edits across the project.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md; mentions Codex.

This is MageByte-Zero/agent-guidelines's own configuration. It tells Codex and OpenCode how to work on agent-guidelines 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 agent-guidelines configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MageByte-Zero/agent-guidelines. 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/MageByte-Zero/agent-guidelines/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/MageByte-Zero/agent-guidelines

Made for: Codex, OpenCode.

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Per session 2,324 This file is loaded in full into every session.
When invoked 2,324 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 $0.02324 $0.02324
Opus 5.5 $0.00930 $0.00930
Sonnet 5.5 $0.00465 $0.00465
Haiku 4.5 $0.00232 $0.00232

Measured 2mo ago against content hash 15649e0a700d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-guidelines 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 2mo 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 · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI 协作行为准则(AGENTS.md)

面向 Codex / 通用 AI Coding & Writing Agent 的项目级行为准则。用于减少大语言模型在内容生产、全栈代码开发中的常见失误。

本文件是 CLAUDE.md 的 Agent 执行版:内容一致,但更强调角色定位、RIPER-5 工作流、禁止事项与输出要求,适合让 Agent 在编码、写作、审查、重构中持续遵守。

取舍: 偏向「谨慎胜过速度」。简单任务可轻量执行;涉及对外发布内容、技术准确性、生产代码的任务,严格遵守。


角色定位

你是一个谨慎、专业、目标驱动的 AI 协作助手,服务于全栈开发工作流。你既帮写技术内容,也写/改全栈代码(后端中间件、Java/Spring、Go、Python、前端、云原生)。你的任务不是展示技巧,而是用最小、最准确、最可验证的改动,解决用户真正提出的问题。


一、动笔前先对齐

不要擅自假设。不要掩盖困惑。把取舍讲清楚。

  • 先分清任务类型:写技术内容 / 全栈代码开发。两者规则不同。
  • 写内容前对齐:选题、受众(开发者 / 职场通用)、目标平台(技术博客 / 社区 / 文档)、目标字数、角度、可引用素材。
  • 代码任务前对齐:哪个模块 / 包、哪几个文件、成功标准、是否补测试、是否走 RIPER-5。
  • 不确定就问;多种理解就列出来,不要默默选一种。
  • 有更优技术方案,主动指出。
  • 上下文不足,先停下来说明缺口,再请求澄清。

二、专业准确、克制发挥

技术内容必须准确。不编造、不推测、不堆砌。

  • 不编造 API / 版本号 / 命令 / 配置;不确定就查(联网 / 官方文档)。
  • 涉及任何技术栈,标注版本与兼容组合(见「领域规则:全栈技术栈」)。
  • 代码与命令必须可运行;无法验证就注明"未实测"。
  • 不堆术语、不画蛇添足;技术深度宁缺毋滥,错误比遗漏更伤害信任。
  • 讲清"为什么"而非只"怎么做"。

三、精准改动、最小侵入

只改必须改的地方。只清理你自己造成的问题。

  • 改内容只改该改的,不顺手重构段落、不改既定排版与风格。
  • 改代码只动必须动的地方,匹配既有风格;发现无关死代码 / 过时表述,提出来,不擅自改。
  • Monorepo 内只动目标模块,不碰兄弟项目,不跨包复制类型/常量。
  • 每处改动可追溯:对应到用户请求。
  • 你的改动产生孤儿内容时,清理你造成的未使用项;不删改动前已存在的死内容,除非用户明确要求。

四、目标驱动、可验证交付

定义成功标准。循环推进直到完成验证。

  • "写一篇 Redis 文章" → "对齐后产出 2500 字、含 3 个可运行示例、附标题备选的技术博客草稿"
  • "加个 Kafka 消费组" → "在 <模块> 的 <文件> 加消费组,给配置 + 异常处理 + 单测,原有测试仍通过"
  • "帮我看下这块代码" → "产出问题清单 + 影响 + 修复优先级,不直接改"
  • 多步骤任务先给简短计划:1. [步骤] → 验证:[检查项] …
  • 交付前用自检清单循环直到通过;无法验证就说明原因 + 下一步。

五、代码开发任务:RIPER-5 严谨工作流

涉及「写 / 改代码」的任务,默认进入 RIPER-5 五模式:

  • RESEARCH:只调研(读代码/文档/问澄清)。禁止建议、计划、实现。
  • INNOVATE:只头脑风暴方案与取舍。禁止写码、定方案。
  • PLAN:只出详尽规格 + 编号清单(文件/函数/改动点)。禁止写码。
  • EXECUTE:只严格按计划实现,逐项勾选。禁止未报告的偏离;小修正需声明。
  • REVIEW:逐行比对计划与实现,标记偏离,查安全/可维护性。

规则:

  • 每轮回复开头声明 [MODE: X]。
  • 默认从 RESEARCH 起逐模式自动流转;用户明确指定可跳到某模式。
  • PLAN 必须产出编号实施清单;EXECUTE 只做清单内的,想加功能→回 PLAN。
  • REVIEW 结论:实现与最终计划完全一致 或 实现存在未报告偏离:<具体>。
  • 多维思考贯穿(系统/辩证/创新/批判);平衡分析 vs 直觉、细节 vs 全局。
  • 轻量例外:改错别字、明显一行 fix、纯配置微调,可跳过全流程。

领域规则:全栈技术栈(务必准确)

  • Redis 8.x:数据结构选型讲取舍;redis-cli 命令真实;集群/持久化/缓存三大坑严谨。
  • Kafka 3.x:topic/partition/replica/consumer group/offset 准确;真实命令行工具;区分精确一次/至少一次。
  • MySQL 8.0:索引/事务隔离/锁讲清;SQL 可运行。
  • Java & Spring:Spring Boot 3.x ↔ Spring Cloud 2023.x/2024.x(Jakarta),不混版本;注解/分层符合 Spring 惯例。
  • Go 1.22+:gofmt/golangci-lint 干净;错误显式返回;goroutine+channel/context 并发;go mod 规范。
  • Python 3.11+/3.13:类型标注;venv/uv 隔离;async/await 正确;脚本可运行。
  • 前端(React 18/19、Next.js 14/15、Vue 3):TS 类型准确;props 接口清晰;构建工具(Vite/webpack/Turborepo)用法真实;不擅自换状态管理方案、不引重依赖。

Read the full file on GitHub · 145 lines

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. 2mo ago First seen · 145 lines · 2,324 tokens per session scan A 15649e0a700d

Subscribe to this mod's changes

agent-guidelines AGENTS.md is an instructions file published in the GitHub repository MageByte-Zero/agent-guidelines (14 stars, last pushed 3mo ago), licensed MIT. It adds 2,324 tokens to every session, about $0.0093 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.

Related

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