Borrowing it
Nothing to install: this file belongs to jonnonz1/domain-agents. 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/jonnonz1/domain-agents/main/CLAUDE.mdgit clone --depth 1 https://github.com/jonnonz1/domain-agentsWrote 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/jonnonz1/domain-agents/claude-md)<a href="https://agentmods.dev/instructions/jonnonz1/domain-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/jonnonz1/domain-agents/claude-md.svg" alt="Measured on agentmods" 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 | $0.00935 | $0.00935 |
| Opus 5 | $0.00467 | $0.00467 |
| Sonnet 5 | $0.00187 | $0.00187 |
| Haiku 4.5 | $0.00093 | $0.00093 |
Grade A, and why
domain-agents 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 6d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project Overview
domain-agents is a CLI tool that discovers business domains in TypeScript/Node codebases and generates AI agent files for evolutionary architecture. It uses static analysis (TypeScript compiler API, import graph clustering, naming patterns, dependency mapping) to identify domains, then generates per-domain agent markdown and a system map (AGENTS.md).
Architecture
src/
types.ts Core type definitions for the entire system
discovery/
structure.ts Pass 1: directory analysis, detects feature/layer/mixed patterns
imports.ts Pass 2: TypeScript compiler API, builds import graph with export/import resolution
naming.ts Pass 3: clusters files by prefix/suffix/directory/keyword patterns
dependencies.ts Pass 4: maps npm packages to domains (stripe→billing, sendgrid→email, etc.)
interfaces.ts Pass 5: detects cross-domain interface points, calculates coupling scores
index.ts Orchestrator: combines all 5 signals, merges leaf clusters, handles hotspots
generator/
agent-file.ts Generates per-domain markdown (purpose, interfaces, scaling, tech debt, observability)
agents-md.ts Generates AGENTS.md system map with dependency graph and cross-domain contracts
hooks/
lookup.ts File-to-domain lookup from proposal.json (powers all integrations)
cursor.ts Generates .cursor/rules/*.mdc files with glob-based activation for Cursor
claude.ts Generates .claude/rules/domain-*.md files with glob activation + MCP server + SessionStart hook
mcp/
server.ts MCP server: exposes domain_lookup, list_domains, domain_context, domain_files tools
generator/
enrich.ts LLM enrichment: reads domain code, calls Claude to generate contextual agent files
cli/
index.ts CLI entry point (commander): discover, init, setup, health, hooks commands
discover.ts Runs discovery engine, saves proposal.json
init.ts Reads proposal, generates agents/*.md + AGENTS.md (with optional --enrich)
setup.ts Saves Anthropic API key to ~/.config/domain-agents/config.json
health.ts Checks boundaries, coupling, staleness against current codebase state
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.
- 6d ago First seen · 75 lines · 935 tokens per session scan A 6466ef653765
domain-agents CLAUDE.md is an instructions file published in the GitHub repository jonnonz1/domain-agents (2 stars, last pushed 4mo ago), licensed MIT. It adds 935 tokens to every session, about $0.0047 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.
Other instructions, from other repositories
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.
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).
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).
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.
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.