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 agentmods add skills/autonomous-ai/autonomous-workshop/cadnpx skills add autonomous-ai/autonomous-workshop --skill cadgit clone --depth 1 https://github.com/autonomous-ai/autonomous-workshopWrote 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/autonomous-ai/autonomous-workshop/cad)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/cad"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/cad.svg" alt="Measured on agentmods" 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 | $0.00112 | $0.08942 |
| Opus 5 | $0.00056 | $0.04471 |
| Sonnet 5 | $0.00022 | $0.01788 |
| Haiku 4.5 | $0.00011 | $0.00894 |
Grade A, and why
cad 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 today.
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 — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CAD generation, inspection, and validation
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.
Purpose
Create or modify parametric CAD models from natural-language requirements, generate validated STEP/STP artifacts, inspect geometry references, and return checked outputs. Treat STEP as the primary CAD artifact. Treat STL, 3MF, and native GLB as secondary export workflows that branch from a STEP-first process. For assemblies, prefer cadgen.assembly.AssemblyHelper with source-level build123d joints, named mating datums, and native labels when the parts have functional assembly relationships.
There are two ways into the STEP workflow: generate from build123d Python source (the default when designing from scratch or modifying a generated model), or import an existing STEP/STP file directly (when no generator exists or the user explicitly targets the STEP file). Both produce the same inspectable artifacts.
Use this skill when
Use this skill when the user asks for CAD files, STEP/STP files, build123d source, selector refs such as #o1.2.f1, mechanical parts, assemblies, enclosures, brackets, fixtures, holes, counterbores, countersinks, slots, pockets, bosses, standoffs, ribs, fillets, chamfers, shells, source-level joints, mating, or measurements. Also use it when the user supplies reference images or 2D technical drawings of a part to reproduce or take design intent from.
Also use it when the user asks for STL, 3MF, or native GLB output from CAD geometry. Keep those workflows secondary and load supported-exports.md for details. For 2D DXF drawings, use the $dxf skill when it is installed; when a DXF projects from a 3D part, this skill owns the STEP geometry and $dxf owns the drawing. $dxf is a separate sibling skill and does not travel with this one, so check for it before promising a drawing.
What ships with it
60 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.
- agents/openai.yaml 205 B
- LICENSE 1.0 KB
- references/bought-parts.md 9.4 KB
- references/build123d-modeling.md 26 KB
- references/cad-brief.md 6.6 KB
- references/image-derived-verification.md 6.5 KB
- references/inspection-and-validation.md 11 KB
- references/motion-manifests.md 12 KB
- references/organic-lofts.md 7.4 KB
- references/parameters.md 9.4 KB
- references/positioning.md 14 KB
- references/print-optimisation.md 15 KB
- references/project-structure.md 15 KB
- references/repair-loop.md 9.5 KB
- references/run-cost.md 9.3 KB
- references/step-generation.md 18 KB
- references/supported-exports.md 3.6 KB
- requirements.txt 30 B
- scripts/artifact/__init__.py 81 B runs code
- scripts/artifact/__main__.py 1.7 KB runs code
- scripts/artifact/cli.py 4.1 KB runs code
- scripts/cadfits.py 11 KB runs code
- scripts/cadgen_daemon/__init__.py 57 B runs code
- scripts/cadgen_daemon/__main__.py 351 B runs code
- scripts/cadgen_daemon/client.py 9.7 KB runs code
- scripts/cadgen_daemon/server.py 14 KB runs code
- scripts/cadmount.py 27 KB runs code
- scripts/cadprint.py 7.5 KB runs code
- scripts/check_fit 18 KB
- scripts/check_layout 14 KB
- scripts/check_mesh 6.1 KB
- scripts/check_motion 51 KB
- scripts/check_mount 22 KB
- scripts/check_overhang 16 KB
- scripts/check_spec_numbers 8.8 KB
- scripts/check_thickness 32 KB
- scripts/export/__init__.py 61 B runs code
- scripts/export/__main__.py 1.7 KB runs code
- scripts/export/cli.py 4.7 KB runs code
- scripts/gen/__init__.py 67 B runs code
- scripts/gen/__main__.py 1.7 KB runs code
- scripts/gen/cli.py 6.5 KB runs code
- scripts/inspect/__main__.py 1.6 KB runs code
- scripts/inspect/cli.py 323 B runs code
- scripts/inspect/inspect_refs/__init__.py 45 B runs code
- scripts/inspect/inspect_refs/cli.py 33 KB runs code
- scripts/inspect/inspect_refs/inspect.py 39 KB runs code
- scripts/meshlib.py 19 KB runs code
- scripts/packages/cadgen/LICENSE 1.0 KB
- scripts/packages/cadgen/pyproject.toml 1.5 KB
- scripts/packages/cadgen/src/cadgen/__init__.py 2.0 KB runs code
- scripts/packages/cadgen/src/cadgen/_internal/__init__.py 235 B runs code
- scripts/packages/cadgen/src/cadgen/_internal/assembly_spec.py 1.8 KB runs code
- scripts/packages/cadgen/src/cadgen/_internal/atomic_replace.py 7.0 KB runs code
- scripts/packages/cadgen/src/cadgen/_internal/cli_errors.py 4.1 KB runs code
- scripts/packages/cadgen/src/cadgen/_internal/cli_locking.py 3.8 KB runs code
- scripts/packages/cadgen/src/cadgen/_internal/component_package.py 37 KB runs code
- scripts/packages/cadgen/src/cadgen/_internal/file_metadata.py 1.9 KB runs code
- scripts/packages/cadgen/src/cadgen/_internal/generation_runner.py 22 KB runs code
- scripts/packages/cadgen/src/cadgen/_internal/generation_spec.py 21 KB runs code
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.
- today Changed · +24 lines · +35 tokens per session eac058220340
- 4d ago First seen · 237 lines · 77 tokens per session scan A 8520bb7d56d5
cad is a skill published in the GitHub repository autonomous-ai/autonomous-workshop (11 stars, last pushed today), licensed Apache-2.0. It adds 112 tokens to every session and 8,942 once invoked, about $0.0006 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.
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