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 gcodegit 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/gcode)<a href="https://agentmods.dev/skills/earthtojake/text-to-cad/gcode"><img src="https://agentmods.dev/badge/skills/earthtojake/text-to-cad/gcode/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/gcode"><img src="https://agentmods.dev/badge/skills/earthtojake/text-to-cad/gcode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00115 | $0.01111 |
| Opus 5.5 | $0.00046 | $0.00444 |
| Sonnet 5.5 | $0.00023 | $0.00222 |
| Haiku 4.5 | $0.00012 | $0.00111 |
Grade A, and why
gcode 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 19d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
G-code
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.
Slice with OrcaSlicer, headless (below) or by opening the model in the
OrcaSlicer app for the user. The agent never contacts a printer: for a Bambu
Lab printer, hand the result to $bambu-labs; for any other printer, give the
user the .gcode.
Install OrcaSlicer
- macOS:
brew install --cask orcaslicer. The command line is/Applications/OrcaSlicer.app/Contents/MacOS/OrcaSlicer. - Windows and Linux: install a release from
https://github.com/OrcaSlicer/OrcaSlicer/releases. The command is
orca-slicer; on Linux, run it from the AppImage or Flatpak.
Below, <orca> is that command.
Slice headless
OrcaSlicer's command line (https://www.orcaslicer.com/wiki/cli/cli_mode) needs
complete presets: it doesn't fill in a preset's parent settings, and it slices
only with a process whose compatible printers name the printer.
scripts/orca_presets.py (Python 3, no dependencies) writes them from
OrcaSlicer's presets, searching the user's own first, then OrcaSlicer's
built-in profiles.
-
Find the user's printer, process and filament presets. Prefer the presets the user prints with; never invent one, since a wrong bed size or temperature can damage the printer.
python scripts/orca_presets.py --list machine --match "MK4S" python scripts/orca_presets.py --list process --match "@MK4S 0.4" python scripts/orca_presets.py --list filament --match "PLA @MK4S" -
Write the complete presets:
python scripts/orca_presets.py --printer "Prusa MK4S 0.4 nozzle" \ --process "0.20mm SPEED @MK4S 0.4" --filament "Prusa Generic PLA @MK4S" \ --out presets -
Slice. Give
--outputdiran absolute path:<orca> model.stl \ --load-settings "presets/process.json;presets/printer.json" \ --load-filaments presets/filament-1.json \ --arrange 1 --slice 0 \ --outputdir /absolute/path/to/out --export-3mf model.gcode.3mf
What ships with it
3 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.
- 19d ago Changed · +1 lines abef30775a9d
- 20d ago Changed · -45 lines · +13 tokens per session b301e4035420
- 1mo ago Changed c0c08cb2989a
- 1mo ago First seen · 138 lines · 102 tokens per session scan A fb7fb0ce9c71
gcode is a skill published in the GitHub repository earthtojake/text-to-cad (22,540 stars, last pushed today), licensed MIT. It adds 115 tokens to every session and 1,111 once invoked, about $0.0005 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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