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/majorcontext/moat/claude-mdgit clone --depth 1 https://github.com/majorcontext/moatWhat 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 | $0.03199 | $0.03199 |
| Opus 5 | $0.01599 | $0.01599 |
| Sonnet 5 | $0.00640 | $0.00640 |
| Haiku 4.5 | $0.00320 | $0.00320 |
Grade A, and why
moat 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 today.
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 — 216 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
Moat runs AI agents in isolated containers with credential injection and full observability. Key features:
- Isolated Execution - Each moat runs in its own container (Docker or Apple containers) with workspace mounting
- Credential Injection - Transparent auth header injection via TLS-intercepting proxy (agent never sees raw tokens)
- Smart Image Selection - Automatically selects container images based on
moat.yamlruntime config - Full Observability - Captures logs, network requests, and traces for every run
- Declarative Config - Configure agents via
moat.yamlmanifests - Multi-Runtime Support - Automatically uses Apple containers (macOS 26+) or Docker
Architecture
cmd/moat/ CLI entry point (Cobra commands)
internal/
audit/ Tamper-proof audit logging with cryptographic verification
claude/ Claude Code settings and Dockerfile generation
cli/ Shared CLI helpers (environment parsing, mount helpers)
codex/ Codex CLI settings and Dockerfile generation
config/ moat.yaml parsing, mount string parsing
container/ Container runtime abstraction (Docker and Apple containers)
credential/ Secure credential storage (GitHub, Anthropic, AWS)
daemon/ Proxy daemon lifecycle, Unix socket API, and run registration
image/ Runtime-based image selection (node/python/go → base image)
log/ Structured logging (slog wrapper)
provider/ Provider registry and interfaces (CredentialProvider, AgentProvider)
providers/ Provider implementations:
aws/ AWS IAM role assumption and credential endpoint
claude/ Claude Code CLI, grants, and config generation
codex/ Codex CLI, grants, and config generation
github/ GitHub token management and refresh
run/ Run lifecycle management (create/start/stop/destroy)
storage/ Per-run storage for logs, traces, network requests
ui/ TTY-aware colored output and formatting helpers
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.
- today First seen · 216 lines · 3,199 tokens per session scan A aa1716770564
moat CLAUDE.md is an instructions file published in the GitHub repository majorcontext/moat (46 stars, last pushed 18d ago), licensed MIT. It adds 3,199 tokens to every session, about $0.0160 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 2026-09-01.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
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 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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.