← Back to Skills Marketplace
jdilla1277

Agentcad Skill

by jdilla1277 · GitHub ↗ · v0.1.6 · MIT-0
cross-platform ✓ Security Clean
158
Downloads
1
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install agentcad
Description
CAD tool for AI agents. Use when the user asks you to design, model, or build a 3D object. agentcad executes CadQuery Python scripts and produces STEP files,...
README (SKILL.md)

agentcad — CAD tool for AI agents

You have access to agentcad, a CLI that turns CadQuery Python scripts into 3D geometry. All output is JSON. Every command returns "command" and "status" keys.

First-time setup

agentcad init --name \x3Cproject_name>
agentcad --help   # Read this — it is your complete operational briefing

Core workflow

  1. Write a script. No imports needed — cq, show_object, and all helpers are pre-injected. show_object(result) is required.

  2. Dry-run first to check metrics without consuming a version:

    agentcad run script.py --output test --dry-run
    

    Check volume, dimensions, is_valid in the response.

  3. Run for real. Visual feedback is on by default:

    agentcad run script.py --output label
    

    Every successful run produces (paths in the JSON response):

    • preview.png — 4-view composite (front, right, top, iso). Read this to confirm the part looks right before iterating. One image, all 4 angles.
    • diff.side_by_side — side-by-side PNG vs the most recent successful prior version. Read this when iterating to see what your change did.
    • diff.overlay — tinted (green prev, red this) overlay for subtle shifts. Read only if side-by-side didn't resolve the question.
    • viewer.html — interactive 3D viewer for the user (humans only; you can't render HTML). Mention it to the user so they open it.

    Pass --no-preview only for tight parametric sweeps where latency matters.

  4. Show the user. After a successful build, open the interactive viewer:

    agentcad view v1_label/viewer.html   # or output.step / output.glb
    

    Users expect to see the result in a browser. Do this every run, unprompted.

  5. Inspect if invalid. If is_valid: false or geometry looks wrong:

    agentcad inspect v1_label/output.step
    
  6. Iterate. Fix the script, run with a new --output label. Use agentcad diff 1 2 to compare versions.

Script writing rules

  • show_object(result) is required — at least one call.
  • These are pre-injected (no import needed): cq, show_object, translate, rotate, mirror_fuse, loft_sections, tapered_sweep, naca_wire, bbox_point, place_at, assemble, ellipse_wire, spline_wire, polygon_wire, rounded_rect_wire, elliptical_sweep, involute_gear_profile
  • Helpers operate on TopoDS_Shape. Bridge with .val().wrapped:
    part = cq.Workplane('XY').box(10, 20, 5).val().wrapped
    moved = translate(part, 50, 0, 0)
    
  • To show helper output:
    show_object(cq.Workplane('XY').newObject([cq.Shape.cast(topo_shape)]))
    
  • For OCP internals (gp_Pnt, BRepPrimAPI, etc.), import manually.

Key commands

Command Purpose
agentcad init --name NAME Initialize project
agentcad run SCRIPT --output LABEL Execute script, produce STEP + metrics
agentcad run ... --dry-run Metrics only, no version consumed
agentcad run ... --no-preview Suppress preview (on by default)
agentcad run ... --render iso,front PNG views
agentcad run ... --export stl,glb Mesh export
agentcad run ... --params k=v,k=v Override script parameters
agentcad render STEP --view SPEC Post-hoc renders with camera control
agentcad export STEP --format stl,glb Post-hoc mesh export
agentcad inspect STEP Topology report (validity, free edges)
agentcad diff REF1 REF2 Compare versions
agentcad context Project state
agentcad docs [SECTION] Deep-dive docs (16 sections)
agentcad view FILE Run this after every successful build — opens GLB/STEP in the user's browser

Debugging playbook

  1. Check metrics firstvolume and dimensions catch most issues.
  2. Read preview.png — the 4-view composite. Fastest way to spot obvious problems.
  3. Read diff.side_by_side if iterating — confirms your change did what you intended.
  4. Negative volume? Wire winding is backwards (CW instead of CCW).
  5. is_valid: false? Run agentcad inspect — check free_edge_count and shell status.
  6. Hollow shape? free_edge_count > 0 means open shell.
  7. Complex profiles (gears, splines)? Use subtractive construction — cut from a blank cylinder/box instead of building up. See agentcad docs patterns.

Patterns

  • Build at origin, then position: Create geometry at origin, use translate() and rotate() to place it.
  • Compound vs Union: makeCompound() for assemblies (parts stay separate), .union() for boolean fuse into one solid.
  • Parametric scripts: Top-level variable assignments become overridable via --params. Use this for iteration.
  • Named parts: show_object(shape, name="wheel", options={"color": "red"}) for per-part metrics and colored GLB export.
Usage Guidance
This skill manifest appears coherent for a CLI-based CAD helper. Before installing or using it: 1) ensure you install the agentcad CLI from a trusted source (pip on PyPI) and verify the package/source if you require extra assurance; 2) be aware the skill instructs the agent to open the local viewer automatically after every successful run — if you don't want automatic browser openings, disable that behavior or run agent actions manually; 3) check the CLI's own commands (e.g., any 'feedback' or telemetry commands) so you understand what data might be transmitted externally; and 4) run the CLI in an isolated environment (sandbox/container) if you want to limit risk while you evaluate the tool.
Capability Analysis
Type: OpenClaw Skill Name: agentcad Version: 0.1.6 The agentcad skill bundle provides a legitimate interface for AI agents to perform 3D modeling using the CadQuery library. It employs security best practices by restricting the agent's execution environment to a specific command subset (Bash(agentcad:*)) and contains no evidence of data exfiltration, malicious execution, or prompt injection. All instructions in SKILL.md and README.md are consistent with the stated purpose of CAD design and visual feedback.
Capability Tags
crypto
Capability Assessment
Purpose & Capability
The name/description (CAD tool that runs CadQuery scripts) matches the declared requirements: it needs the agentcad CLI and Python 3.10–3.12. No unrelated binaries or credentials are requested.
Instruction Scope
SKILL.md instructs the agent to run the agentcad CLI and to read generated artifacts (preview.png, diff images, STEP/GLB files) — this is expected. One minor scope note: the doc explicitly tells the agent to open the interactive viewer in the user's browser 'every run, unprompted', which is an aggressive UX preference (intrusive if automated). Otherwise the instructions do not reference unrelated files, env vars, or external endpoints.
Install Mechanism
This is an instruction-only skill with no install spec or archived downloads. The README suggests installing the CLI via pip (agentcad on PyPI), which is a standard distribution channel; the skill itself does not install arbitrary code or fetch from unknown URLs.
Credentials
No environment variables, credentials, or config paths are required. The requested artifacts are local outputs produced by the agentcad CLI; nothing indicates credential or secret access.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It does not attempt to modify other skills or agent configuration. Autonomous invocation is allowed by default (normal), and no additional elevated privileges are declared.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agentcad
  3. After installation, invoke the skill by name or use /agentcad
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.6
Visual feedback by default: 4-view preview, auto-diff, unified viewer
v0.1.5
agentcad v0.1.5 — CAD tool for AI agents - CLI tool for executing CadQuery scripts, producing STEP files, PNG renders, mesh exports (STL/GLB/OBJ), and geometric metrics. - Designed for 3D modeling tasks requested by users; all core CadQuery and helper functions are pre-injected. - Requires Python 3.10-3.12 and agentcad installed. - Core workflow: script writing, dry-run for validation, real run for output, inspection, and version comparison. - Offers debugging guidance and script-writing rules for reliability and flexibility. - Includes a comprehensive set of commands for project setup, execution, rendering, exporting, inspection, and documentation access.
Metadata
Slug agentcad
Version 0.1.6
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Agentcad Skill?

CAD tool for AI agents. Use when the user asks you to design, model, or build a 3D object. agentcad executes CadQuery Python scripts and produces STEP files,... It is an AI Agent Skill for Claude Code / OpenClaw, with 158 downloads so far.

How do I install Agentcad Skill?

Run "/install agentcad" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Agentcad Skill free?

Yes, Agentcad Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Agentcad Skill support?

Agentcad Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Agentcad Skill?

It is built and maintained by jdilla1277 (@jdilla1277); the current version is v0.1.6.

💬 Comments