Borrowing it
Nothing to install: this file belongs to quellant/openscad-mcp. 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/quellant/openscad-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/quellant/openscad-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/quellant/openscad-mcp/claude-md)<a href="https://agentmods.dev/instructions/quellant/openscad-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/quellant/openscad-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 5.1 | $0.01562 | $0.01562 |
| Opus 5 | $0.00781 | $0.00781 |
| Sonnet 5 | $0.00312 | $0.00312 |
| Haiku 4.5 | $0.00156 | $0.00156 |
Grade A, and why
openscad-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 8d 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 — 124 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.
Project Overview
OpenSCAD MCP Server — a Python MCP (Model Context Protocol) server built with FastMCP that exposes OpenSCAD 3D rendering capabilities to AI assistants. It wraps the OpenSCAD CLI, rendering SCAD code to PNG images and returning results as base64 or file paths.
External dependency: OpenSCAD must be installed on the system. The server auto-detects it via PATH or common install locations.
Build and Run Commands
# Install dependencies (uses uv, lockfile committed)
uv sync --dev
# Run the MCP server
uv run openscad-mcp
# or: uv run python -m openscad_mcp
# Run all tests with coverage
uv run pytest
# Run specific test markers
uv run pytest -m unit
uv run pytest -m performance
uv run pytest -m "not slow"
# Run a single test file
uv run pytest tests/test_openscad_mcp.py
# Run a single test
uv run pytest tests/test_openscad_mcp.py::TestParameterParsers::test_parse_camera_param_list
# Lint
uv run ruff check src/ tests/
uv run black --check src/ tests/
# Format
uv run black src/ tests/
# Type check
uv run mypy src/
Architecture
Core module: src/openscad_mcp/server.py
This file contains the FastMCP server instance, all MCP tools, helpers, and rendering logic:
mcp = FastMCP("OpenSCAD MCP Server")— the server instancefind_openscad()— locates the OpenSCAD binary on the systemrender_scad_to_png()— synchronous subprocess call to OpenSCAD with caching, security validation, include path support, and timeout enforcement- Parameter parsers (
parse_camera_param,parse_list_param,parse_dict_param,parse_image_size_param) — accept flexible input formats (JSON strings, lists, dicts, CSV) for AI assistant compatibility - Response size management (
manage_response_size) — auto-selects between base64, compressed, or file-path output based on size thresholds VIEW_PRESETS— predefined camera positions (front, back, top, isometric, etc.)QUALITY_PRESETS— draft/normal/high rendering quality via$fn/$fa/$fsvariables- Render caching (
_compute_render_cache_key,_check_cache,_save_to_cache,_evict_cache_if_needed) — SHA-256 hash of all render parameters, TTL-based expiration, LRU eviction
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.
- 8d ago First seen · 124 lines · 1,562 tokens per session scan A 94ce1b6e851c
openscad-mcp CLAUDE.md is an instructions file published in the GitHub repository quellant/openscad-mcp (131 stars, last pushed 1mo ago), licensed MIT. It adds 1,562 tokens to every session, about $0.0078 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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