Content
50%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is actionable with concrete CLI examples and a clear behavior description, but it is burdened by verbose inlined JSON schemas and lacks an explicit validation checkpoint for a selection-mutating operation.
Suggestions
Move the large Input/Output JSON schemas into reference files and link to them, keeping only a concise summary in SKILL.md.
Add an explicit validation step (e.g., verify each ObjectRef resolves via FindObject before assigning, and confirm the returned SelectionData reflects the intended objects).
Replace the placeholder 'string_value' and fill the empty Description cell in the Input table so the example is directly usable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body inlines two large JSON schemas (the full AIGD.ObjectRef and SelectionData output schema with many nested defs) plus duplicated input descriptions, adding significant padding that Claude largely doesn't need to be told. | 2 / 5 |
Actionability | It provides a concrete executable CLI command with stdin/file variants and troubleshooting, which is copy-paste ready; minor gaps are the placeholder 'string_value' input and the empty Description cell in the input table. | 4 / 5 |
Workflow Clarity | The behavior section gives a short sequence (resolve, assign to Selection.objects, RepaintAllViews, return snapshot) with an implicit pre-check (throw if unresolved), but there is no explicit validate/retry feedback loop for a mutation that overwrites the Editor selection. | 3 / 5 |
Progressive Disclosure | Content is sectioned (Inputs, Behavior, How to Call, Input/Output schemas), but the large JSON schemas that would be better placed in reference files are inlined in SKILL.md, and the only external pointer (/unity-initial-setup) is buried in troubleshooting rather than clearly signaled. | 3 / 5 |
Total | 12 / 20 Passed |