Borrowing it
Nothing to install: this file belongs to flanliulf/cord. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/flanliulf/cord/main/CLAUDE.mdgit clone --depth 1 https://github.com/flanliulf/cordWrote 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/instructions/flanliulf/cord/claude-md)<a href="https://agentmods.dev/instructions/flanliulf/cord/claude-md"><img src="https://agentmods.dev/badge/instructions/flanliulf/cord/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00693 | $0.00693 |
| Opus 5 | $0.00347 | $0.00347 |
| Sonnet 5 | $0.00139 | $0.00139 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
cord CLAUDE.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 3d 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.
This is a copy
100% identical to aiforge AGENTS.md — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
CORD Project — AI Agent Instructions
Rule Document Registry 同步规则
执行 generate-project-context workflow 生成 project-context.md 后，必须确认文件包含 Rule Document Registry 章节。如果生成的文件缺少该章节，立即补充以下内容到文件顶部（frontmatter 之后、Technology Stack 之前）：
## Rule Document Registry
**凡是确认/修改/新增任何规则、约定或豁免，必须同步更新以下所有文档：**
| 文档 | 职责 |
|------|------|
| `_bmad-output/project-context.md` | AI agent 主规则文件，优化为 LLM 消费 |
| `_bmad-output/planning-artifacts/architecture/04-implementation-patterns-consistency-rules.md` | 实现模式，面向人类可读 |
| `_bmad-output/planning-artifacts/architecture/03-core-architectural-decisions.md` | 技术决策事项记录，面向人类可读 |
> 两份文档内容互为镜像，任何一处规则变更必须同时更新另一处。
规则变更同步约束
任何 story 执行、code review、或临时决策中，凡确认/修改/新增规则边界（包括豁免、约定变更），必须在同一次操作中同步更新 Rule Document Registry 中列出的所有文档，不得遗漏。
文档归属规则
新增或移动文档时，按以下规则判断目标目录：
docs/
| 目录 | 归属条件 |
|---|---|
docs/ 根目录 |
README「文档」章节直接链接的核心用户文档（双语 .md + .zh.md） |
docs/references/ |
早期草稿、调研报告、审核结论等已归档的过程性文档 |
_bmad-output/
| 目录 | 归属条件 |
|---|---|
analysis/ |
1-analysis 阶段产物：头脑风暴、市场调研、混沌工程等前置分析 |
planning-artifacts/ |
2-plan + 3-solutioning 阶段产物：PRD、架构设计、Epic/Story 规划 |
implementation-artifacts/ |
4-implementation 阶段产物（按下表细分子目录） |
archive/ |
已归档的早期快照 |
根目录 project-context.md |
AI Agent 主规则文件（跨阶段持续更新） |
_bmad-output/implementation-artifacts/
| 子目录 | 归属条件 |
|---|---|
stories/ |
Story 规格文件 |
code-reviews/ |
跨 LLM Code Review 各轮次 summary/evaluation |
retrospectives/ |
Epic 回顾、Story 审查总结、发布门禁 |
cr-rules/ |
CR 工作流的规则提炼、TODO 追踪等元文档 |
| 根目录 | 跨子目录的全局跟踪文件（sprint-status.yaml、index.md） |
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.
- 3d ago First seen · 55 lines · 693 tokens per session scan A 853c8004cd3a
cord CLAUDE.md is an instructions file published in the GitHub repository flanliulf/cord (6 stars, last pushed 3mo ago), licensed MIT. It adds 693 tokens to every session, about $0.0035 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to aiforge AGENTS.md, differing in 6 lines, and is treated as a copy.
Other instructions, from other repositories
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vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.