cad

cad is a skill for Codex from autonomous-ai/autonomous-workshop. It costs 99 tokens per session (10,692 once invoked), scanned A, original, Apache-2.0.

A workflow for creating, editing, inspecting, and checking parametric computer-aided design parts and assemblies, with STEP as the main file format.

In plain words
What is it for?
Generating STEP models from build123d Python code, importing STEP files, checking dimensions and references, and building assemblies with defined joints and mating points.
Why use it?
It turns written requirements or existing STEP files into geometry that can be inspected, measured, and validated.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Generating STEP models from build123d Python code, importing STEP files, checking dimensions and references, and building assemblies with defined joints and mating points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/autonomous-ai/autonomous-workshop/cad
Install

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.

Any agent
npx skills add autonomous-ai/autonomous-workshop --skill cad
Clone the repo
git clone --depth 1 https://github.com/autonomous-ai/autonomous-workshop

Made for: Codex.

Wrote 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.

agentmods badge for cad

README.md
[![agentmods](https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/cad/github.svg)](https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/cad)
Your own site
<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/cad"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/cad/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.

agentmods 80×15 button for cad

Your own site · 80×15
<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,692 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Memory Poisoning · line 183
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.10692
Opus 5.5 $0.00040 $0.04277
Sonnet 5.5 $0.00020 $0.02138
Haiku 4.5 $0.00010 $0.01069

Measured 2d ago against content hash 7fc874327a94, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2d ago.

The scan reads SKILL.md. This mod also ships 30 executable files (scripts/artifact/__init__.py, scripts/artifact/__main__.py, scripts/artifact/cli.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/workshop/make/skills/cad/SKILL.md · 386 lines

How it starts

The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Motion verification is opt-in. Standalone make_round and verify_project default to false; pass --check-motion true to enable it. Inside Workshop, read the immutable run-root MAKE-OPTIONS.json: the tools inherit its check_motion value and reject contradictory flags. A missing options file in an older materialized run retains its mandatory motion policy. When false, skip motion sweeps and required animation/reconstruction/review, even if a manifest or assembly claims exist. Motion is unverified, never passed; do not claim assemblability or working motion from skipped evidence. Build, fit, print gates and still-image review remain required. These rules take precedence over motion-specific requirements in references and templates.

A correction carries unchanged parts forward. This is the default for workshop fix, recorded as carry_unchanged in the run-root MAKE-OPTIONS.json under schema_version: 2; motion_policy.carry_unchanged() reads it. It is false for every run with no source to carry from, and for every run created before the policy existed -- those have no schema-2 document, so a refreshed tool still reads them the way they were created. workshop fix --full declines it. The policy changes only what a round may CARRY FORWARD. It lowers no threshold, relaxes no gate and skips nothing about the assembly.

A seeded run records its Approved Proof. workshop wish|fix --seed-source (Workshop ADR 0096) freezes seed: {approval_sha256, manifest_sha256} under schema_version: 3, beside check_motion and, for a correction, carry_unchanged: true; motion_policy.seed() reads it and is None for every other run. It changes no gate.

What it permits, and only after the changed-part set is established by building and exporting EVERY part and hashing each against the source archive's make/made.json product_manifest:

  • A part whose STEP is byte-identical to the source's needs no new isolated component round. The source archive's round history for that part is still exactly true of it, because a gate is a pure function of the STEP it reads. Carry that history forward and record the hash it is carried on.
  • Its per-part measure reports are carried forward the same way, unchanged.

You are not trusted on this, and do not need to be: make_round --require-component-passes rebuilds every part and refuses assembly review for any whose digest no longer matches its recorded pass. A part that moved cannot be carried even if you try.

What the policy never touches:

  • The hash proof itself. It is the whole warrant for everything above, so it is computed fresh, over every part, every time.
  • refs:assembly, validate:assembly and interfere:assembly. The assembly changes whenever any part does, and interference is a property of the whole set, never of a part.
  • Every gate on every CHANGED part, and the assembled-object rounds.
  • verify_project, the whole-set renders and the independent blind review. The final sweep is what would catch a mistake in the carry-forward reasoning, so scoping it would remove the one check that makes the rest safe.

Write a measure/quick-fix-carry.md naming every part carried forward, the sha256 it was carried on, and what was regenerated instead. A reader must be able to tell a carried report from a fresh one without diffing, because the round record itself cannot say which run produced it. If the changed-part set turns out to be most of the project, say so and regenerate everything: the policy saves nothing there and the claim is weaker.

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.

Read the full file on GitHub · 386 lines

Files

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.

Changes

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.

  1. 2d ago Changed · +1 lines 7fc874327a94
  2. 3d ago Changed · +6 lines 14881e796d06
  3. 7d ago Changed · +1 lines · -11 tokens per session 2778c5adacc1
  4. 1mo ago Changed · +1 lines b0a9ad9a29d8
  5. 1mo ago Changed · +24 lines ab55a98a3c61
  6. 1mo ago Changed · +46 lines fac23ecc5e1d
  7. 1mo ago Changed · +11 lines 678dfd6f50fe
  8. 1mo ago Changed · +12 lines 7c9f76764eed
  9. 1mo ago Changed · +20 lines b88b89c0b70f
  10. 1mo ago First seen · 264 lines · 110 tokens per session scan A d05e3473f862

Subscribe to this mod's changes

cad is a skill published in the GitHub repository autonomous-ai/autonomous-workshop (24 stars, last pushed yesterday), licensed Apache-2.0. It adds 99 tokens to every session and 10,692 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.

Related

cad compared with skills from other repositories

cad next to 6 skills from other repositories
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precisemicroprediction/preciseSkill3385d agoMITA76Claude Code, Codex