SKILLEMALL.ai

CD parametric-3d-printing

Create parametric 3D-printable parts and enclosures with CadQuery, export STL or 3MF files, render review previews, and iterate on fit, tolerances, and printability. Use when the user wants a printable physical object such as a bracket, mount, enclosure, case, adapter, lid, organizer, fixture, or mechanical part; when they mention 3D printing, STL, 3MF, CadQuery, OpenSCAD, snap-fits, wall thickness, tolerances, screw bosses, or printer-specific constraints. Do not use for game assets, animation, sculpting, artistic rendering, photogrammetry, or editing an existing mesh without rebuilding it parametrically.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Antonio Silveira v1.0.1 MIT-0 13 files body ≈ 907 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
74/100
safety, quality, tests
Safety 60%
64
Quality 40%
89
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

  • high Dangerous commands cmd-pipe-to-shell README.md:56
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -L micro.mamba.pm/install.sh | bash
  • high Dangerous commands cmd-pipe-to-shell README.md:167
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -L micro.mamba.pm/install.sh | bash

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

✓ No remarks against the Agent Skills spec

Process rating: all ten parameters 48/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (parametric-3d-printing) differs from the folder (openclaw-3d-printing-skill)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 44 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 907 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 613: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

External checks

ClawHub: suspicious
The skill matches its 3D-printing purpose, but it deserves Review because setup and model execution grant broad local code execution with limited containment guidance.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026