Borrowing it
Nothing to install: this file belongs to chemrich/cabineteer. 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/chemrich/cabineteer/main/CLAUDE.mdgit clone --depth 1 https://github.com/chemrich/cabineteerWrote 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/chemrich/cabineteer/claude-md)<a href="https://agentmods.dev/instructions/chemrich/cabineteer/claude-md"><img src="https://agentmods.dev/badge/instructions/chemrich/cabineteer/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/chemrich/cabineteer/claude-md"><img src="https://agentmods.dev/badge/instructions/chemrich/cabineteer/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 | $0.17505 | $0.17505 |
| Opus 5 | $0.08752 | $0.08752 |
| Sonnet 5 | $0.03501 | $0.03501 |
| Haiku 4.5 | $0.01750 | $0.01750 |
Grade A, and why
cabineteer 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 2d 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 — 222 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.
Commands
# Full install — CadQuery, opcut, rectpack, and dev tools (recommended)
uv pip install -e ".[full,dev]"
# Lite install — pure-Python only: parametric checks, cutlist BOM, MCP, evals
uv pip install -e .
# Or just sync everything via uv (default-groups = full + dev, so this is equivalent to full)
uv sync
# Run the MCP server (stdio, for Claude Desktop / Gemini CLI)
uv run cabineteer
# Lite mode — skips CadQuery, opcut, and rectpack
uv run --no-group full cabineteer
# Run the MCP server (HTTP/SSE, port 3749 auto-incrementing)
uv run cabineteer --http
uv run cabineteer --http --port 4200
# Run tests
uv run pytest tests/ -v
# Run a single test file
uv run pytest tests/test_evaluation.py -v
# Run a single test by name
uv run pytest tests/test_evaluation.py -v -k "test_valid_drawer"
# Run evals (full suite)
uv run python -m evals
# Run evals with filters
uv run python -m evals --tag kitchen
uv run python -m evals --tag drawer --tag door
uv run python -m evals --difficulty advanced
uv run python -m evals --name overflow_drawer_stack
uv run python -m evals --json # machine-readable
uv run python -m evals --list # print scenario catalogue
Architecture
The package lives in src/cabineteer/. All units are millimetres. The data-flow is:
hardware.py + joinery.py
│
▼
cabinet.py / drawer.py / door.py ← parametric dataclasses (no CadQuery required)
│
▼
project.py ← multi-cabinet projects, shared-design merge, persistence (no CadQuery required)
│
▼
evaluation.py ← returns typed Issue objects (no CadQuery required)
│
▼
cutlist.py ← BOM, guillotine optimiser, JSON/CSV export (no CadQuery required)
│
▼
server.py ← MCP server (30 tools, stdio or HTTP/SSE)
evals/ (harness + scenarios) imports server handler functions directly — no MCP transport involved — so the full eval suite runs in under 1 second.
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.
- 2d ago Changed · +3 lines · +1,916 tokens per session f6a4336202b0
- 8d ago First seen · 219 lines · 15,589 tokens per session scan A 84056addc72f
cabineteer CLAUDE.md is an instructions file published in the GitHub repository chemrich/cabineteer (3 stars, last pushed 3d ago), licensed Apache-2.0. It adds 17,505 tokens to every session, about $0.0875 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.
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