AF grasshopper-generator
Generate Rhino 7 Grasshopper (.ghx) XML files from natural language descriptions or images. Build parametric definitions with native GH components, GhPython scripts, and wiring. Supports concept design: twisted towers, curved facades, Voronoi patterns, diagrids, parametric surfaces, mesh operations, and custom Python geometry. Triggers: grasshopper, generate ghx, parametric definition, GH file, grasshopper definition, 参数化, 生成gh文件, when user wants a .ghx file.
As a process F 38/100 · Will not run — References files that are not bundled: references/template_voronoi.ghx
How to improve
- The text references files that are not there: add them or drop the references.
- 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 · 0
✓ No critical or high findings
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/template_voronoi.ghx
Process rating: all ten parameters 38/100
- 0Tools and files. 1 referenced file(s) missing: references/template_voronoi.ghx
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 596 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 463: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (3 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.