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.
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 skills add earthtojake/text-to-cad --skill srdfgit 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/skills/earthtojake/text-to-cad/srdf)<a href="https://agentmods.dev/skills/earthtojake/text-to-cad/srdf"><img src="https://agentmods.dev/badge/skills/earthtojake/text-to-cad/srdf/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/skills/earthtojake/text-to-cad/srdf"><img src="https://agentmods.dev/badge/skills/earthtojake/text-to-cad/srdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00102 | $0.02770 |
| Opus 5.5 | $0.00041 | $0.01108 |
| Sonnet 5.5 | $0.00020 | $0.00554 |
| Haiku 4.5 | $0.00010 | $0.00277 |
Grade A, and why
srdf 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 7d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SRDF
Provenance: maintained in earthtojake/text-to-cad. Use the installed local skill files as the runtime source of truth; the repository link is only for provenance and release review.
Use this skill for MoveIt semantic robot descriptions on top of an existing valid URDF. SRDF defines planning semantics; it does not define physical robot structure. The .srdf file is the source of truth: author and edit the XML directly. There is no gen_srdf() contract.
SRDF correctness is a planning semantics problem. The common failure is not invalid XML; it is a plausible SRDF that gives MoveIt the wrong planning group, wrong tool link, wrong default state, unsafe disabled-collision matrix, or wrong joint units. Because language models are weak at spatial and kinematic reasoning, derive planning groups, end effectors, group states, and disabled collisions from the URDF topology, MoveIt Setup Assistant output, sampled collision analysis, or explicit user data. Do not infer them from visual theme alone — and do not type any link or joint name from memory: extract the URDF's link/joint table first and copy names from it.
Setup
Run cadgen through uv, so this skill's commands share one installation, and its warm build daemon, with the CAD app's server:
cadgenbelow meansuvx --no-config --managed-python --python 3.13 --from cadgen==0.7.26 cadgenpythonbelow meansuvx --no-config --managed-python --python 3.13 --from cadgen==0.7.26 python
The first run downloads that installation and the first snapshot its headless browser; later runs reuse both.
Format boundary
- URDF owns physical robot structure: links, joints, geometry, inertials, limits, mimic joints, transmissions, and robot-state publishing.
- SRDF owns MoveIt semantics: virtual joints, passive joints, planning groups, group states, end effectors, and disabled collision pairs.
- SDF owns simulator/world semantics: physics, sensors, lights, plugins, worlds, and simulation-specific metadata.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago Changed 035505d26c32
- 9d ago Changed · +8 lines 2d3b73f9a6b5
- 16d ago Changed dd614898d2b1
- 17d ago Changed c8cf1fbc7e0f
- 18d ago Changed 1cad77e0f72d
- 19d ago Changed 061c6b53a825
- 21d ago Changed 972f5bd749ac
- 22d ago Changed · -5 lines 6038b8f009d1
- 24d ago Changed · +1 lines 90dc7aa88c72
- 26d ago First seen · 147 lines · 102 tokens per session scan A e83823feb461
srdf is a skill published in the GitHub repository earthtojake/text-to-cad (23,333 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 2,770 once invoked, about $0.0004 per session on Opus 5.5. 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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