Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Highly actionable with concrete CLI examples and clear single-step usage, but token efficiency and progressive disclosure suffer from two large inline JSON schemas that should be externalized into reference files with links from the overview.
Suggestions
Move the Input and Output JSON schemas into separate reference files (e.g. references/input-schema.json, references/output-schema.json) and link to them from SKILL.md, keeping only a concise field overview inline.
Replace the all-`"string_value"` placeholder call with one realistic minimal example showing correct boolean/array types so it is immediately runnable.
De-duplicate the shared $defs (e.g. AIGD.AssetObjectRef and System.Type appear in both schemas) by referencing a shared types file to cut repeated tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The prose sections are lean, but two full inline JSON schemas (~370 lines of repetitive $defs) are bulk that could be tightened or externalized; it avoids concept-explaining fluff (no score-1 'explains what a PDF is') yet does not reach the 'every token earns its place' level. | 2 / 3 |
Actionability | Provides copy-paste-ready executable commands (`unity-mcp-cli run-tool ... --input '{...}'`, `--input-file`, stdin pipe), concrete path syntax, and a troubleshooting fallback (install globally / `npx`), matching the 'fully executable commands; copy-paste ready' anchor. | 3 / 3 |
Workflow Clarity | This is a single read-only tool call with an unambiguous action and a stated prerequisite ('locate the shader first'); the simple-skills scoring note allows 3 for a single unambiguous action, and no destructive/batch validation gap applies. | 3 / 3 |
Progressive Disclosure | Sections are clearly labeled (better than a monolithic wall, so not 1), but the large input/output JSON schemas are inline rather than split into separate reference files and no one-level-deep references are signaled, so it does not reach the 'content appropriately split; well-signaled references' level 3. | 2 / 3 |
Total | 10 / 12 Passed |