Cyber-AI-Forge: Instructions file for Codex

AGENTS.md

Cyber-AI-Forge AGENTS.md is an instructions file for Codex, OpenCode from tanghaojie/Cyber-AI-Forge. It costs 3,928 tokens per session, scanned A, original, MIT.

Repository instructions for AI coding agents working on Cyber-AI-Forge. They explain how to respect human changes, handle conflicts, use Git safely, and mark AI-created commits.

In plain words
What is it for?
Use them when modifying the repository to check for staged changes, preserve human-authored work, resolve disagreements with current evidence, and format AI commit messages correctly.
Why use it?
They prevent an agent from overwriting uncommitted human work or making unsupported design changes. They also define checks that must happen before editing and a required marker for automated commits.

Instructions file for CodexOpenCode

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

This is tanghaojie/Cyber-AI-Forge's own configuration. It tells Codex and OpenCode how to work on Cyber-AI-Forge 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 Cyber-AI-Forge configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tanghaojie/Cyber-AI-Forge. 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/tanghaojie/Cyber-AI-Forge/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/tanghaojie/Cyber-AI-Forge

Made for: Codex, OpenCode.

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Per session 3,928 This file is loaded in full into every session.
When invoked 3,928 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 $0.03928 $0.03928
Opus 5 $0.01964 $0.01964
Sonnet 5 $0.00786 $0.00786
Haiku 4.5 $0.00393 $0.00393

Measured 6d ago against content hash 53fad9f195b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Cyber-AI-Forge 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 6d 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 · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI 协作规则

本文件适用于整个仓库。任何 AI Agent 在修改项目时都必须遵守这些规则。

人类修改优先与冲突处理

  1. 人类维护者写入或确认的代码、配置、测试、文档和明确指令,是判断当前项目意图的首要事实来源。AI 的既有实现、聊天推断、历史设计和归档记录不得覆盖人类修改。
  2. AI 可以审阅人类修改,但未经人类明确授权,不得以修复、重构、同步、规范化或恢复旧设计为由改写、回退、删除或重命名这些内容。人类明确授权的机械操作(例如仓库格式化)只在授权范围内执行。
  3. 开始任务时发现的既有未提交改动一律视为人类内容。AI 必须避开这些改动;无法隔离时停止并询问人类,不得自行判断所有权。
  4. 当实现与测试、现行文档、ADR 或历史记录冲突时,先以人类实现描述当前事实,不得用旧文档反向修改实现。若用户已明确要求同步文档,可以修正含义明确的失配;若发现 bug、风险、行为意图不明或任务范围外的未同步文档,必须说明证据和影响并询问人类下一步,不得静默修复或猜测。
  5. 人类确认的长期结论必须同步到现行设计或 ADR;AI 协作记录和归档内容不能代替当前规范。

Git 安全门禁与 AI 提交标记

开始修改前的暂存区硬门禁

  1. 每次 AI 执行任何可能修改代码或仓库文件的任务时,必须在首次修改文件前执行 git diff --cached --quiet,确认当前仓库相对 HEAD 没有任何已暂存内容。该检查优先于阅读文档和实施任务。
  2. 如果命令因存在已暂存差异而返回非零状态,AI 必须立即停止,不得修改任何文件,并明确要求人类先提交这些已暂存内容。只有人类完成提交后,AI 重新检查并确认暂存区为空,才能开始工作。
  3. AI 不得通过代替人类提交既有暂存内容、取消暂存、还原、删除或其他方式绕过门禁。无法确认暂存内容是否属于当前 AI 任务时,一律视为人类既有内容并停止。
  4. 该门禁检查针对任务开始时的既有暂存内容。AI 完成本轮修改和验证后,可以暂存本轮改动以创建自动提交。

AI 自动提交的强制标记

  1. AI 创建的每一个 Git 提交,都必须在提交消息末尾追加以下 trailer,并将模型名称替换为执行该提交的真实 AI 模型名称:

    Co-Authored-By: -AI- [AI model name] <[email protected]>
    
  2. [AI model name] 只是格式占位符,禁止原样写入提交;也不得填写无法确认的简称、产品名或虚构名称。当前执行模型名称不明确时,AI 必须停止提交并说明阻塞。

  3. trailer 与提交正文之间必须保留一个空行。即使提交仅包含文档、配置、测试或其他非业务代码改动,也必须保留该标记。

  4. 创建提交后,AI 必须使用 git log -1 --format=full 或等价命令验证 trailer 已正确写入;缺失或错误时不得宣称任务完成。

开始工作前

  1. 阅读 docs/README.md 并判断任务属于 foundationforgeplatform
  2. docs/README.md 的最小阅读协议,只阅读对应作用域中与改动直接相关的 design/ 文档和仍有效的 decisions/ 记录;禁止为建立背景而递归读取整个 docs/
  3. 检查对应 docs/<scope>/plans/active/ 中是否已有同一事项的实施计划,避免重复规划。
  4. 各作用域的 archive/** 默认不得读取。只有用户明确要求历史、当前文档明确引用历史证据、排查回归/兼容性或准备恢复旧方案时,才先读对应 archive/README.md 并选择最相关的一至两份文件。
  5. 不得仅凭聊天上下文推断长期约定;长期有效的结论必须写入仓库文档。

代码格式

  • 仓库根目录 .prettierrc.json 是 JavaScript、TypeScript、Vue、JSON、Markdown 和样式文件的 唯一格式来源;AI 生成代码时必须直接遵守该配置,不得从个人编辑器设置推断额外规则。
  • 完成代码修改后执行 pnpm format,并在最终验证中执行 pnpm format:check
  • pre-commit hook 只负责格式化已暂存文件,不能代替测试、构建或 AI 对最终 diff 的检查。

前端验证边界

  • apps/frontend 不维护单元、组件或端到端自动化测试;前端功能和浏览器行为由人类维护者人工验收。
  • 除非用户在具体任务中明确要求,AI 不得创建或运行前端自动化测试或浏览器测试。
  • AI 可以执行前端格式检查、TypeScript 检查和生产构建,但必须明确这些检查不代替人工功能验收。
  • 后端、共享契约和数据库的测试与验证规则不受此前端边界影响。

Read the full file on GitHub · 139 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. 6d ago Changed · +7 lines · +303 tokens per session 53fad9f195b9
  2. 10d ago First seen · 132 lines · 3,625 tokens per session scan A 56b26e87b07d

Subscribe to this mod's changes

Cyber-AI-Forge AGENTS.md is an instructions file published in the GitHub repository tanghaojie/Cyber-AI-Forge (22 stars, last pushed 6d ago), licensed MIT. It adds 3,928 tokens to every session, about $0.0196 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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