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lab-hardware-cad

Design custom laboratory hardware as parametric build123d models and export fabrication-ready STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research task needs a physical part that must mate with standardized labware, an optical table, a cage system, or a printer, CNC, or laser process.

75

Quality

92%

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SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, highly actionable skill body with a rigorous multi-step workflow, executable examples, and proper progressive disclosure via real referenced bundle files. Minor conciseness tightening possible on repeated cautions.

DimensionReasoningScore

Conciseness

Largely lean and assumes Claude's competence (no explaining what a STEP file is or how CAD works); the lengthy worked example and repeated cautions about guessed dimensions push it slightly above the lean anchor but not to a perfect 5, as a few admonitions are restated.

4 / 5

Actionability

Fully executable: copy-paste setup commands, a complete `*_model.py` example with build()/interfaces()/checks(), exact script invocations with flags, and a standards-ID list; concrete guidance covers the common cases.

5 / 5

Workflow Clarity

Eight explicitly numbered steps with a mandatory ordering ('Steps 5 and 6 are not optional'), validation checkpoints (check.py facts/interfaces/geometry), and a clear repair feedback loop ('rerun gen.py, and rerun both step 5 and step 6') plus a pre-fabrication reporting checklist.

5 / 5

Progressive Disclosure

Clear overview with one-level-deep references, all of which exist (references/*.md, assets/standards.json, scripts/*); a routing table picks exactly one family reference, and the References/Scripts tables map every file to its contents for easy navigation.

5 / 5

Total

19

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An excellent description: concrete capabilities, comprehensive part-family coverage, and an explicit 'Use when' trigger tied to specific mating interfaces. Only minor room to broaden trigger synonyms (file extensions, 'CAD').

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('design ... as parametric build123d models', 'export fabrication-ready STEP, STL, and DXF files') plus a comprehensive catalogue of part families (microfluidic chips/molds, optomechanical mounts, cuvette/microplate holders, tube racks, behavior rigs, instrument fixtures), matching the 'comprehensive coverage' anchor.

5 / 5

Completeness

Explicitly answers 'what' (design parametric build123d models, export STEP/STL/DXF) and 'when' with a concrete 'Use when a research task needs a physical part that must mate with...' clause naming specific mating targets, hitting the top anchor.

5 / 5

Trigger Term Quality

Strong natural terms ('microplate holders', 'tube racks', 'optical table', 'cage system', 'printer, CNC, or laser process') but lacks synonyms/extensions a user might say (e.g. '.step', 'CAD', 'laser-cut') and is slightly jargon-heavy with 'build123d'; good but not exhaustive coverage.

4 / 5

Distinctiveness Conflict Risk

A clear niche (parametric lab-hardware CAD mating to standardized labware/optical tables/cage systems) with distinct triggers and minimal overlap risk; the named part families and interface requirements make it unlikely to fire for unrelated skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
K-Dense-AI/scientific-agent-skills
Reviewed

Table of Contents

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