text-to-cad is a collection of agent workflows for creating, examining, finding, preparing, and transferring CAD, engineering, manufacturing, and robot-description files. It is for agents working with mechanical design, fabrication, simulation, and robotics projects. Catalogue skills, instructions, and a plugin implement these workflows.
Borrowing it
Nothing to install: this file belongs to earthtojake/text-to-cad. 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/earthtojake/text-to-cad/main/AGENTS.mdgit clone --depth 1 https://github.com/earthtojake/text-to-cadWrote 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/earthtojake/text-to-cad/agents-md)<a href="https://agentmods.dev/instructions/earthtojake/text-to-cad/agents-md"><img src="https://agentmods.dev/badge/instructions/earthtojake/text-to-cad/agents-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/earthtojake/text-to-cad/agents-md"><img src="https://agentmods.dev/badge/instructions/earthtojake/text-to-cad/agents-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 | $0.02943 | $0.02943 |
| Opus 5 | $0.01471 | $0.01471 |
| Sonnet 5 | $0.00589 | $0.00589 |
| Haiku 4.5 | $0.00294 | $0.00294 |
Grade A, and why
text-to-cad AGENTS.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 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This repo is a workbench for CAD-related agent skills. Treat skills/ as the
product and models/ as the shared fixture/artifact area.
Branch First
main is the only long-lived branch: the source tree, what installers clone,
and what releases are cut from. Branch from main and open PRs against main;
never push it directly. There is no development symlink layout — every path in
the tree is the real file.
Release Workflow
Do not bump the canonical release version in VERSION during normal
development work; the Test workflow refuses a PR that changes VERSION from
any branch but release/*. Releases are two GitHub Actions workflows:
Prepare Release(release-prepare.yml, manual): opens and merges a release PR againstmainthat bumpsVERSION, the derived metadata and every skill'scadgen==pin together.Publish Release(release-publish.yml): fires on the push that merge makes. Bundles, tests, builds thecadgenwheel, installs and exercises it, keeps the distribution as a workflow artifact, then — onmainonly — uploads to PyPI, deploys the docs site, and tags (v<VERSION>; releases before 0.5.0 are bare0.4.xtags) + GitHub-Releases that same merged commit.
When asked to publish, make, or ship a release, dispatch Prepare Release on
main. Never pick the semver bump yourself: if the request does not name patch,
minor, major, or an exact version, ask which one before dispatching. To resume a
run that uploaded the wheel but failed before the tag or the docs deploy, or to
republish the current head, dispatch Publish Release on main (publish=false
leaves the GitHub Release as a draft). target=build-test on Prepare Release
is the rehearsal — the same PR against build-test, whose pushes run Publish Release without PyPI, docs or tag — and is never a release; use it only when the
user explicitly asks to test the pipeline.
The standalone Deploy Docs workflow redeploys the docs site from a ref
(default main, or a release tag) without running a release.
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 Changed · -80 lines · -855 tokens per session 7391f4e5d4eb
- 10d ago First seen · 288 lines · 3,798 tokens per session scan A b8354e473abc
text-to-cad AGENTS.md is an instructions file published in the GitHub repository earthtojake/text-to-cad (14,805 stars, last pushed today), licensed MIT. It adds 2,943 tokens to every session, about $0.0147 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
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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 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).
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.