Borrowing it
Nothing to install: this file belongs to jarrodwatts/claude-delegator. 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/jarrodwatts/claude-delegator/main/CLAUDE.mdgit clone --depth 1 https://github.com/jarrodwatts/claude-delegatorWrote 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/jarrodwatts/claude-delegator/claude-md)<a href="https://agentmods.dev/instructions/jarrodwatts/claude-delegator/claude-md"><img src="https://agentmods.dev/badge/instructions/jarrodwatts/claude-delegator/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/jarrodwatts/claude-delegator/claude-md"><img src="https://agentmods.dev/badge/instructions/jarrodwatts/claude-delegator/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 | $0.01042 | $0.01042 |
| Opus 5 | $0.00521 | $0.00521 |
| Sonnet 5 | $0.00208 | $0.00208 |
| Haiku 4.5 | $0.00104 | $0.00104 |
Grade A, and why
claude-delegator 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 10d 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 — 98 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.
What This Is
A Claude Code plugin that provides GPT (via Codex CLI) and Gemini (via Gemini CLI) as specialized expert subagents. Five domain experts that can advise OR implement: Architect, Plan Reviewer, Scope Analyst, Code Reviewer, and Security Analyst.
Development Commands
# Test plugin locally (loads from working directory)
claude --plugin-dir /path/to/claude-delegator
# Run setup to test installation flow
/claude-delegator:setup
# Run uninstall to test removal flow
/claude-delegator:uninstall
No build step, no dependencies. Uses native MCP servers from Codex and Gemini CLIs.
Architecture
Orchestration Flow
Claude acts as orchestrator—delegates to specialized experts based on task type. Supports both single-shot (independent calls) and multi-turn (context preserved via threadId).
User Request → Claude Code → [Match trigger → Select expert & provider]
↓
┌─────────────────────┼─────────────────────┐
↓ ↓ ↓
Architect Code Reviewer Security Analyst
↓ ↓ ↓
[Advisory (read-only) OR Implementation (workspace-write)]
↓ ↓ ↓
Claude synthesizes response ←──┴──────────────────────┘
How Delegation Works
- Match trigger - Check
rules/triggers.mdfor semantic patterns - Read expert prompt - Load from
prompts/[expert].md - Build 7-section prompt - Use format from
rules/delegation-format.md - Call provider tool -
mcp__codex__codexormcp__gemini__gemini - Synthesize response - Never show raw output; interpret and verify
The 7-Section Delegation Format
Every delegation prompt must include: TASK, EXPECTED OUTCOME, CONTEXT, CONSTRAINTS, MUST DO, MUST NOT DO, OUTPUT FORMAT. See rules/delegation-format.md for templates.
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.
- 10d ago First seen · 98 lines · 1,042 tokens per session scan A 0b9830052557
claude-delegator CLAUDE.md is an instructions file published in the GitHub repository jarrodwatts/claude-delegator (996 stars, last pushed 6mo ago), licensed MIT. It adds 1,042 tokens to every session, about $0.0052 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
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.