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/darkwings/osc_mcp/claude-mdgit clone --depth 1 https://github.com/darkwings/OSC_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/darkwings/osc_mcp/claude-md)<a href="https://agentmods.dev/instructions/darkwings/osc_mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/darkwings/osc_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 | $0.00350 | $0.00350 |
| Opus 5 | $0.00175 | $0.00175 |
| Sonnet 5 | $0.00070 | $0.00070 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
OSC_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 3d 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.
What it actually says
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
OSC_MCP is an MCP (Model Context Protocol) Server that implements the Open Sound Control (OSC) protocol. It allows AI assistants to send and receive OSC messages to control a Behringer X-Air XR18 digital mixer and other OSC-compatible applications.
Tech Stack
- Python >=3.11
- MCP SDK:
mcp[cli](FastMCP with@mcp.tool()decorators) - OSC:
python-osc(SimpleUDPClient) - Package manager:
uv - Transport: stdio
Project Structure
src/osc_mcp/server.py— MCP server + all tool definitionssrc/osc_mcp/osc_client.py— OSC UDP send/query wrappersrc/osc_mcp/xair.py— XR18-specific address patterns, dB conversion, NameRegistrytests/— pytest test suite
Commands
uv sync— install/update dependenciesuv run pytest— run full test suiteuv run pytest tests/test_xair.py -k test_name— run a specific testuv run osc-mcp— run MCP server via stdiouv run mcp dev src/osc_mcp/server.py— MCP inspector for interactive testing
Testing Policy
Every feature must have tests before delivery. Run uv run pytest and ensure all tests pass before committing.
License
Apache License 2.0
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.
- 3d ago First seen · 39 lines · 350 tokens per session scan A a269ded791f4
OSC_MCP CLAUDE.md is an instructions file published in the GitHub repository darkwings/OSC_MCP (1 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 350 tokens to every session, about $0.0018 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
FastLED GEMINI.md
Gemini CLI instructions for FastLED/FastLED, a project described as: The FastLED library for colored LED animation on Arduino. Please direct questions/requests for help to the FastLED Reddit community: http://fastled.io/r We'd like to use github "issues" just for tracking library bugs / enhancements.
kicad-happy GEMINI.md
Instructions for aklofas/kicad-happy, covering kicad-happy, agent guidelines, skills, running analysis and schematic analysis.
brilliant_sdk AGENTS.md
Instructions for brilliantlabsAR/brilliant_sdk, covering brilliant sdk — agent guide, how an app works (the pattern behind everything), minimal reading paths, verify without hardware and testing.
NeoMind CLAUDE.md
Instructions for camthink-ai/NeoMind, covering neomind — edge ai platform for iot, development commands, ecosystem repositories, extension package contract (.nep) and device type template contract (json).
Nothan-OS CLAUDE.md
Instructions for Vinalinux-Org/Nothan-OS, covering claude.md — nothanos, hard rules, toolchain, driver and design philosophy.
Meta-Spatial-SDK-Samples meta-quest.instructions.md
Instructions for meta-quest/Meta-Spatial-SDK-Samples: For this repository, prefer Meta Quest Agentic Tools, the Meta Horizon VS Code/Cursor extension, and the hzdb MCP server.