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/promptexecution/just-mcp/claude-mdgit clone --depth 1 https://github.com/PromptExecution/just-mcpWrote 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/promptexecution/just-mcp/claude-md)<a href="https://agentmods.dev/instructions/promptexecution/just-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/promptexecution/just-mcp/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 | $0.01008 | $0.01008 |
| Opus 5 | $0.00504 | $0.00504 |
| Sonnet 5 | $0.00202 | $0.00202 |
| Haiku 4.5 | $0.00101 | $0.00101 |
Grade A, and why
just-mcp 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 5d 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 — 94 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.
🤓 MCP-Tools
- use rust-crate-doc tool to query specific info on crates, traits, etc.
- use context7 for information on all other documentation
- use sequential thinking for small step by step planning
- use taskmaster-ai for big picture phases
Project Overview
This is just-mcp, a production-ready MCP (Model Context Protocol) server for Justfile integration.
Current Status: 67% complete (8/12 core tasks done) with full rmcp 0.3.0 integration already implemented and tested.
✅ Major Milestones Completed
- ✅ Complete MCP Server - Full rmcp 0.3.0 integration with MCP 2024-11-05 protocol
- ✅ Recipe Discovery & Execution - Parse, list, and execute Justfile recipes with parameters
- ✅ Comprehensive Testing - 33 passing tests including integration and unit test suites
- ✅ Environment Management - .env file support and variable expansion
- ✅ Production Ready - Structured error handling, async support, JSON-RPC compliance
Architecture
The project is designed to be a Rust-based MCP server that provides:
- Justfile parsing and introspection
- Recipe execution with structured output
- LSP-style completion and validation
- JSON-RPC interface for LLM integration
Based on TODO.pm, the planned architecture includes:
just-mcpbinary crate (CLI interface)just-mcp-liblibrary crate (core functionality)- 12-phase development roadmap from basic parsing to full MCP protocol compliance
Development Environment
This project follows the b00t development methodology as documented in AGENTS.md:
Tech Stack
- Rust: Stable 1.82+ with cargo CLI
- Error Handling: Use
snafucrate for structured error management - Development Tools:
justcommand runner,uv/uvxfor Python tooling
Development Practices
- TDD: Add tests first, then implement code
- Git Workflow: Never work directly on main/dev branch - always create feature branches
- 6C Turbo-Agile: Use contextual comments → commit code → cleanup/cull pattern for refactoring
- Branch Naming: Use
feature/,fix/, orchore/prefixes with GitHub issue numbers
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.
- 5d ago First seen · 94 lines · 1,008 tokens per session scan A 3deaf2d62073
just-mcp CLAUDE.md is an instructions file published in the GitHub repository PromptExecution/just-mcp (57 stars, last pushed 1mo ago), licensed MIT. It adds 1,008 tokens to every session, about $0.0050 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
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).
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 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.