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/bourbondog/amicus/claude-mdgit clone --depth 1 https://github.com/BourbonDog/amicusWhat 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 | $0.03569 | $0.03569 |
| Opus 5 | $0.01784 | $0.01784 |
| Sonnet 5 | $0.00714 | $0.00714 |
| Haiku 4.5 | $0.00357 | $0.00357 |
Grade A, and why
amicus 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 — 299 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 when working with code in this repository.
Project Overview
Amicus is a multi-model subagent tool that extends Claude Code with the ability to spawn parallel conversations with different LLMs (Gemini, GPT-4, o3, etc.) and fold the results back into the main context.
Core Features
- Fork & Fold Workflow: Spawn specialized models for deep exploration, fold summaries back
- Multi-Model Routing: Use the right model for the job (Gemini's large context, o3's reasoning, GPT-4's coding)
- Clean Context: Isolate deep explorations to parallel sessions, keep main conversation focused
- Async-Safe Operations: File conflict detection and context drift warnings
- Session Persistence: Resume, continue, or read previous sessions
Key Value Proposition
- Right model for the job - Route tasks to specialized models
- Keep context clean - Isolate deep explorations
- Work in parallel - Background execution with Ctrl+B
- Safe async - Conflict and drift detection
Essential Commands
Development
npm start # Run amicus CLI (interactive)
npm run lint # Run ESLint
CLI
amicus start --model gemini --prompt "..." # Start a headless session
amicus fanout --models g4o,gemini --prompt "..." --json # Multi-model fanout wave
amicus models # List available models
amicus models --search gpt # Filter catalog
amicus read <taskId> # Read session output
amicus list # List sessions
Testing
npm test # Unit tests (excludes *.integration.test.js) -- the pre-push gate
npm run test:integration # Integration tier, KEYLESS: credentials scrubbed, paid suites skip (free, ~10s)
npm run test:integration:live # Integration tier with real keys -- SPENDS MONEY (release ritual only)
npm run test:all # Unit + integration with real keys -- SPENDS MONEY (not a gate anywhere)
npm test tests/context.test.js # Single file (preferred during dev)
npm test -- --coverage # Coverage report
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 · 299 lines · 3,569 tokens per session scan A 02da77f4363e
amicus CLAUDE.md is an instructions file published in the GitHub repository BourbonDog/amicus (2 stars, last pushed 3d ago), licensed MIT. It adds 3,569 tokens to every session, about $0.0178 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 2026-08-31.
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