Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/coder/anyclaude/claude-mdgit clone --depth 1 https://github.com/coder/anyclaudeWhat 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 | $0.00593 | $0.00593 |
| Opus 5 | $0.00296 | $0.00296 |
| Sonnet 5 | $0.00119 | $0.00119 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
anyclaude 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
anyclaude is a proxy wrapper for Claude Code that enables using alternative LLM providers (OpenAI, Google, xAI, Azure) through the Anthropic API format. It intercepts Anthropic API calls and translates them to/from the Vercel AI SDK format for the specified provider.
Architecture
The proxy works by:
- Spawning a local HTTP server that mimics the Anthropic API
- Intercepting
/v1/messagesrequests containing<provider>/<model>format - Converting Anthropic message format to AI SDK format
- Routing to the appropriate provider (OpenAI, Google, xAI, Azure)
- Converting responses back to Anthropic format
- Setting
ANTHROPIC_BASE_URLto point Claude Code at the proxy
Key components:
src/main.ts: Entry point that sets up providers and spawns Claude with proxysrc/anthropic-proxy.ts: HTTP server that handles request/response translationsrc/convert-anthropic-messages.ts: Bidirectional message format conversionsrc/convert-to-anthropic-stream.ts: Stream response conversionsrc/json-schema.ts: Schema adaptation for different providers
Development Commands
# Install dependencies
bun install
# Build the project (creates dist/main.js with shebang)
bun run build
# Run the built binary
bun run ./dist/main.js
# The build command:
# 1. Compiles TypeScript to CommonJS for Node.js compatibility
# 2. Adds Node shebang for CLI execution
Testing
Test the proxy manually:
# Run in proxy-only mode to get the URL
PROXY_ONLY=true bun run src/main.ts
# Test with a provider
OPENAI_API_KEY=your-key bun run src/main.ts --model openai/gpt-5-mini
Environment Variables
Required for each provider:
OPENAI_API_KEY+ optionalOPENAI_API_URLfor OpenAI/OpenRouterGOOGLE_API_KEY+ optionalGOOGLE_API_URLfor GoogleXAI_API_KEY+ optionalXAI_API_URLfor xAIAZURE_API_KEY+ optionalAZURE_API_URLfor AzureANTHROPIC_API_KEY+ optionalANTHROPIC_API_URLfor Anthropic passthrough
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.
- 2d ago First seen · 73 lines · 593 tokens per session scan A d106afb8eeaa
anyclaude CLAUDE.md is an instructions file published in the GitHub repository coder/anyclaude (292 stars, last pushed 1y ago), licensed MIT. It adds 593 tokens to every session, about $0.0030 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.
Other instructions, from other repositories
langgraph AGENTS.md
Instructions for langchain-ai/langgraph, covering agents instructions, corridor security analysis, libraries and dependency map.
agentgateway copilot-instructions.md
Instructions for agentgateway/agentgateway: Do not check for, speculate about, or report compilation errors during code review. Compilation diagnostics from review are frequently incorrect; rely on CI to detect and report compilation failures.
hatch3r CLAUDE.md
Instructions for hatch3r/hatch3r, covering hatch3r — development instructions, architecture, development commands, two-axis pillar framework (2.0.0) and orchestrator self-discipline (bypass protection).
aeon CLAUDE.md
Instructions for aeonfun/aeon, covering aeon, how aeon works, strategy, voice and soul file hierarchy (read in this order).
ken CLAUDE.md
Instructions for townsendmerino/ken, covering claude.md, what this is, repository ownership (read this first), commands and embedding parity & golden fixtures (now in aikit).
gangsta GEMINI.md
Instructions for kucherenko/gangsta, a project described as: AI agentic skills framework for spec-driven development, built on the organizational model of mafia.