Borrowing it
Nothing to install: this file belongs to AlphaLab-USTC/OhMyCode. 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/AlphaLab-USTC/OhMyCode/main/CLAUDE.mdgit clone --depth 1 https://github.com/AlphaLab-USTC/OhMyCodeWrote 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/alphalab-ustc/ohmycode/claude-md)<a href="https://agentmods.dev/instructions/alphalab-ustc/ohmycode/claude-md"><img src="https://agentmods.dev/badge/instructions/alphalab-ustc/ohmycode/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/alphalab-ustc/ohmycode/claude-md"><img src="https://agentmods.dev/badge/instructions/alphalab-ustc/ohmycode/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 | $0.00686 | $0.00686 |
| Opus 5.5 | $0.00274 | $0.00274 |
| Sonnet 5.5 | $0.00137 | $0.00137 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
OhMyCode 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 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.
This is a copy
100% identical to OhMyCode AGENTS.md — 0 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OhMyCode — AI Agent Development Guide
OhMyCode is a minimal Claude Code–style clone in roughly 3,000 lines of Python. It supports a REPL, streaming output, tool execution, a permissions pipeline, context compression, a memory system, and skills.
Quick orientation
- Architecture and module relationships → read
agent_docs/ARCHITECTURE.md - Core interfaces → read
agent_docs/KEY-MODULES.md - Gotchas → read
agent_docs/GOTCHAS.md - Development conventions → read
docs/DEVELOPMENT_GUIDE.md - Design docs → read project design docs committed in this repository
References
- Project architecture and module docs under
agent_docs/ - Development workflow and conventions in
docs/DEVELOPMENT_GUIDE.md
Tech stack
Python 3.9+, asyncio, openai SDK, anthropic SDK, rich, prompt_toolkit, tiktoken, httpx, pydantic
Run and test
./scripts/setup-cli.sh # install + register CLI
ohmycode # start REPL
ohmycode -p "hello" # single-shot prompt
python3 -m pytest tests/ -v # run tests (currently 72)
CLI policy: always run via ohmycode command.
Project knowledge (agent_docs/)
Persistent, project-level knowledge lives under agent_docs/ for all tasks:
ARCHITECTURE.md— overall architecture, modules, data flowKEY-MODULES.md— responsibilities and interfaces of core modulesGOTCHAS.md— pitfalls, counterintuitive design, common mistakes
After changing core project logic, update the relevant docs in agent_docs/.
Skills (.claude/skills/)
The project ships seven built-in skills to guide AI agents extending OhMyCode:
add-tool— add a custom tooladd-provider— integrate a new LLM provideradd-feature— add any new feature (points todocs/DEVELOPMENT_GUIDE.md)customize-system-prompt— customize AI behaviorcustomize-response-style— customize terminal output stylecommit-conventions— commit message conventionsdebug-ohmycode— troubleshoot issues
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.
- 1mo ago First seen · 76 lines · 686 tokens per session scan A 249dff1738a8
OhMyCode CLAUDE.md is an instructions file published in the GitHub repository AlphaLab-USTC/OhMyCode (132 stars, last pushed 6mo ago), licensed MIT. It adds 686 tokens to every session, about $0.0027 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to OhMyCode AGENTS.md, differing in 0 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.