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 rules/steipete/macos-automator-mcp/agentgit clone --depth 1 https://github.com/steipete/macos-automator-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/rules/steipete/macos-automator-mcp/agent)<a href="https://agentmods.dev/rules/steipete/macos-automator-mcp/agent"><img src="https://agentmods.dev/badge/rules/steipete/macos-automator-mcp/agent.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 | $0.01347 | $0.01347 |
| Opus 5 | $0.00674 | $0.00674 |
| Sonnet 5 | $0.00269 | $0.00269 |
| Haiku 4.5 | $0.00135 | $0.00135 |
Grade A, and why
agent 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 4d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
This file provides guidance to AI assistants when working with code in this repository.
Project Overview
This is the macos-automator-mcp project, which provides a Model Context Protocol (MCP) server that enables executing AppleScript and JavaScript for Automation (JXA) scripts on macOS. The server features a knowledge base of pre-defined scripts accessible by ID and supports inline scripts, script files, and argument passing.
Architecture
- Server Configuration: The server reads configuration from environment variables like
LOG_LEVELandKB_PARSING. - MCP Tools: Two main tools are provided:
execute_script: Executes AppleScript/JXA from inline content, file path, or knowledge base IDget_scripting_tips: Retrieves information from the knowledge base
- Knowledge Base: A collection of pre-defined scripts stored as Markdown files in
knowledge_base/directory with YAML frontmatter - ScriptExecutor: Core component that executes scripts via
osascriptcommand
Knowledge Base System
The knowledge base (knowledge_base/ directory) contains numerous Markdown files organized by category:
- Each file has YAML frontmatter with metadata:
id,title,description,language, etc. - The actual script code is contained in the Markdown body in a fenced code block
- Scripts can use placeholders like
--MCP_INPUT:keyNameand--MCP_ARG_Nfor parameter substitution
Common Development Commands
# Install dependencies
npm install
# Run the server in development mode with hot reloading
npm run dev
# Build the TypeScript project
npm run build
# Start the compiled server
npm run start
# Lint the codebase
npm run lint
# Format the codebase
npm run format
# Validate the knowledge base
npm run validate
Environment Variables
LOG_LEVEL: Set logging level (DEBUG,INFO,WARN,ERROR) - default isINFOKB_PARSING: Controls when knowledge base is parsed:lazy(default): Parsed on first requesteager: Parsed when server starts
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.
- 4d ago First seen · 103 lines · 1,347 tokens per session scan A f53db92399e7
agent is a cursor rule published in the GitHub repository steipete/macos-automator-mcp (876 stars, last pushed 3d ago), licensed MIT. It adds 1,347 tokens to every session, about $0.0067 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.
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