Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with concrete, executable CLI examples, but it is padded by duplicated input descriptions and large inline JSON schemas that should be split out, and the state-dependent workflow lacks an explicit validation step.
Suggestions
Remove the duplicated input description — keep either the '## Inputs' bullet or the '## Input' table, not both.
Move the verbose input/output JSON schemas into a separate reference file and link to it, keeping the SKILL.md body lean.
Add an explicit prerequisite validation step, e.g. 'Call scene-list-opened first and confirm the target scene is present and loaded before invoking this tool.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient prose plus executable CLI examples, but it duplicates the same input description twice (a '## Inputs' bullet and a '## Input' table) and embeds large inline JSON schemas that pad tokens; it could be tightened. | 2 / 3 |
Actionability | Provides a fully executable unity-mcp-cli command with the exact input shape plus alternative invocation patterns (input-file, stdin), matching the copy-paste-ready anchor. | 3 / 3 |
Workflow Clarity | The single task is unambiguous, but the prerequisite 'scene must already be opened' has no validation/checkpoint step (e.g. 'call scene-list-opened first and confirm the scene is present'); the rubric caps workflow clarity at 2 when validation gaps exist for a state-dependent operation. | 2 / 3 |
Progressive Disclosure | Sections are organized and a sibling skill (/unity-initial-setup) is referenced, but the inline JSON input/output schemas are large blocks that should live in a separate reference file rather than inline; no bundle files exist to offload them. | 2 / 3 |
Total | 9 / 12 Passed |