Borrowing it
Nothing to install: this file belongs to miniidealab/openlogos. 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/miniidealab/openlogos/master/CLAUDE.mdgit clone --depth 1 https://github.com/miniidealab/openlogosWrote 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/miniidealab/openlogos/claude-md)<a href="https://agentmods.dev/instructions/miniidealab/openlogos/claude-md"><img src="https://agentmods.dev/badge/instructions/miniidealab/openlogos/claude-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.
<a href="https://agentmods.dev/instructions/miniidealab/openlogos/claude-md"><img src="https://agentmods.dev/badge/instructions/miniidealab/openlogos/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.03363 | $0.03363 |
| Opus 5.5 | $0.01345 | $0.01345 |
| Sonnet 5.5 | $0.00673 | $0.00673 |
| Haiku 4.5 | $0.00336 | $0.00336 |
Grade A, and why
openlogos 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 8d 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
92% identical to openlogos AGENTS.md — 49 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Assistant Instructions
This project follows the OpenLogos methodology.
Read logos/logos-project.yaml first to understand the project resource index.
Project Context
- Config:
logos/logos.config.json - Resource Index:
logos/logos-project.yaml
⚠️ 语言策略（最高优先级）
本项目的文档语言为 中文（配置于 logos/logos.config.json → locale: "zh"）。
你的所有输出——包括生成的文档、代码注释、回复消息——必须使用中文。 即使 Skill 文件使用其他语言编写，你的输出也必须是中文。 违反此规则将导致产出不可用。
Methodology Rules
- Never write code without first completing the design documents
- Follow the Why → What → How progression
- All API designs must originate from scenario sequence diagrams
- All code changes must have corresponding API orchestration tests
- Use the Delta change workflow for iterations (see logos/changes/ directory)
- All generated test code must include an OpenLogos reporter (see logos/spec/test-results.md)
Interaction Guidelines
When the user's request is vague or they ask "what should I do next":
- Scan
logos/resources/to determine the current project phase - Suggest the specific next step based on what's missing
- Provide a ready-to-use prompt the user can directly say
- Never start generating documents without confirming key information
Phase 检测逻辑（检测到对应阶段时，必须先读取 Skill 文件并按其步骤执行）：
logos/resources/prd/1-product-requirements/为空 → Phase 1 → 读取logos/skills/prd-writer/SKILL.md并按其步骤执行- 需求存在但
2-product-design/为空 → Phase 2 → 读取logos/skills/product-designer/SKILL.md并按其步骤执行 - 设计存在但
3-technical-plan/1-architecture/为空 → Phase 3 Step 0 → 读取logos/skills/architecture-designer/SKILL.md并按其步骤执行 - 架构存在但
3-technical-plan/2-scenario-implementation/为空 → Phase 3 Step 1 → 读取logos/skills/scenario-architect/SKILL.md并按其步骤执行 - 场景存在但
logos/resources/api/为空 → Phase 3 Step 2 → 读取logos/skills/api-designer/SKILL.md和logos/skills/db-designer/SKILL.md并按其步骤执行 - API / DB 设计完成后但
3-technical-plan/3-deployment/为空 → Phase 3 Step 3 → 读取logos/skills/deployment-designer/SKILL.md并按其步骤执行 - 部署方案存在但
logos/resources/test/为空 → Phase 3 Step 4a → 读取logos/skills/test-writer/SKILL.md并按其步骤执行（如需部署需同时设计 smoke） - 测试用例存在但
logos/resources/scenario/为空 → Phase 3 Step 4b → 读取logos/skills/test-orchestrator/SKILL.md并按其步骤执行（仅 API 项目） - 编排测试存在但
logos/resources/implementation/为空 → Phase 3 Step 5 → 读取logos/skills/code-implementor/SKILL.md并按其步骤执行（完成后可用logos/skills/code-reviewer/SKILL.md进行代码审查） - 代码已生成但
logos/resources/verify/acceptance-report.md不存在 → Phase 3 Step 6（运行测试后openlogos verify） - 部署完成但
smoke-report.md/SMOKE_PASS缺失 → Phase 3 Step 8（openlogos smoke，人类确认点）
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.
- 8d ago Changed · +1 lines · +145 tokens per session bb04f6453365
- 16d ago Changed · +1 lines · +147 tokens per session 0b9a9664379e
- 1mo ago First seen · 146 lines · 3,071 tokens per session scan A 9b6e15f96a57
openlogos CLAUDE.md is an instructions file published in the GitHub repository miniidealab/openlogos (428 stars, last pushed 9d ago), licensed Apache-2.0. It adds 3,363 tokens to every session, about $0.0135 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to openlogos AGENTS.md, differing in 49 lines, and is treated as a copy.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.