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 sendcutsendgit 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/sendcutsend)<a href="https://agentmods.dev/skills/earthtojake/text-to-cad/sendcutsend"><img src="https://agentmods.dev/badge/skills/earthtojake/text-to-cad/sendcutsend/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/sendcutsend"><img src="https://agentmods.dev/badge/skills/earthtojake/text-to-cad/sendcutsend.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 | $0.00075 | $0.02696 |
| Opus 5 | $0.00037 | $0.01348 |
| Sonnet 5 | $0.00015 | $0.00539 |
| Haiku 4.5 | $0.00007 | $0.00270 |
Grade A, and why
sendcutsend 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 5d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SendCutSend
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 to produce conservative, evidence-backed SendCutSend preflight reports for DXF and STEP/STP files.
Treat SendCutSend's ordering guide, catalog JSON, and specs JSON as evidence feeds, not stable APIs. Field names, types, and coverage may vary. Do not turn missing, unparsable, N/A, or conflicting source data into a pass or fail. Fetch sources directly from official URLs and use local inspection code only to measure specific file facts; write the final report from explicit comparisons.
Geometry Inspection
Use the active project Python environment for local geometry inspection code. If the $cad skill is available, use it first for STEP/STP/DXF geometry inspection, measurement, and validation workflows, then add any SendCutSend-specific targeted measurements that are still missing. Use build123d.import_step for STEP/STP inspection and the ezdxf package directly (import ezdxf; it installs alongside build123d) for DXF inspection when geometry facts are required. There is no build123d.ezdxf. Do not use raw text parsing or alternate geometry backends for geometry facts.
CAD Viewer Handoff
After completing SendCutSend work that creates or modifies a .dxf, .step, or .stp upload candidate, you must ALWAYS hand the explicit file path(s) to $cad-viewer when that skill is installed. $cad-viewer must start CAD Viewer if it is not already running and return link(s) to the relevant created or updated file(s); if $cad-viewer is unavailable or startup fails, report that instead of silently omitting the handoff.
Official Sources
Before each review, fetch and inspect the current SendCutSend source documents directly from the official URLs listed in references/official-sources.md:
Use the source URL, access date, and JSON _meta values in the source bibliography when helpful. If a source cannot be fetched, report that current SendCutSend sources were unavailable and avoid ready verdicts for dependent checks.
What ships with it
4 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.
- 5d ago Changed 131eefb9003c
- 10d ago First seen · 123 lines · 75 tokens per session scan A 60a1243669bd
sendcutsend is a skill published in the GitHub repository earthtojake/text-to-cad (15,283 stars, last pushed today), licensed MIT. It adds 75 tokens to every session and 2,696 once invoked, about $0.0004 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 skills, from other repositories
FluidCAD-from-drawing
Turning a 2D engineering drawing into a parametric FluidCAD model. Use this skill whenever the user supplies a drawing, blueprint, dimension sheet, hand sketch, screenshot, PDF, or photo of a part and wants it modeled — "model this", "build this part", "make this in CAD", "here's the drawing". Trigger it alongside the…
gap
Program robots with GaP (graph-as-policy) — compile natural-language tasks into typed, verified robot skill graphs and run them on simulators or real robots. Use when the user mentions GaP or graph-as-policy, robot manipulation, robot skills, robot tools or capabilities, skill registries, open-robot-skills, LIBERO or…
step-parts
Find, evaluate, and download low-level common standard CAD parts from step.parts, such as screws, bolts, nuts, washers, bearings, standoffs, electronics parts, motors, connectors, and other off-the-shelf components. Use when Codex needs to search the hosted step.parts catalog, resolve fuzzy part names, standards…
solidworks-api
SolidWorks 2023 API/SDK coding assistant. Covers part modeling, sketches, features (extrude/revolve/cut), patterns, mates, materials, STEP export, and shield machine cutterhead design. Triggers: SolidWorks, SOLIDWORKS, SLDWORKS, ISldWorks, IModelDoc2, IFeatureManager, sketch, extrude, revolve, cut, pattern, mate…
spark-environment-setup
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.
spark-training-gotchas
Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.