Content
42%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 body documents a simple tool call with useful behavioral detail (FindObject resolution, RepaintAllViews, returned SelectionData), but it is padded with triple-duplicated input specs, an internally inconsistent example, and ~180 lines of inlined schema that belong in reference files. Fixing the example payload and deduplicating the input documentation would substantially improve it.
Suggestions
Fix the 'How to Call' example to match the schema, e.g. --input '{"select": [{"instanceID": 12345}]}' — the current '"select": "string_value"' placeholder is wrong and misleading.
Deduplicate the input documentation: keep one source of truth (either the concise Inputs section or the schema) instead of restating `select` in prose, an Input table, and a JSON schema; fill in the empty Description cell of the Input table.
Move the large Input/Output JSON schemas into a references/ bundle file (e.g. references/schema.md) and keep only a short summary plus one worked example in SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The `select` parameter is specified three times (the prose Inputs section, an Input table whose description cell is empty, and the full Input JSON Schema), and roughly 140 lines of output schema plus generic CLI boilerplate are inlined. This is noticeably verbose with redundant/padded sections, matching anchor 2 rather than the mostly-efficient anchor 3. | 2 / 5 |
Actionability | A concrete CLI invocation is provided, but the example payload '"select": "string_value"' contradicts the documented array-of-ObjectRef shape, so it is not copy-paste executable and the actual call format must be reconstructed from the schema. Fits 'some concrete guidance but incomplete / missing key details' rather than level 4's mostly-executable guidance. | 3 / 5 |
Workflow Clarity | The single-step workflow is present (inspect via editor-selection-get, set, receive post-change SelectionData), but the contradictory example, the 'type: any' input table row, and the empty description cell leave the exact input sequence implicit with no validation checkpoint on the returned snapshot. Anchor 3 (sequence present, checkpoints missing or implicit) fits; level 4 would require an unambiguous, consistent input presentation. | 3 / 5 |
Progressive Disclosure | Section headers give the body some structure, but no bundle files exist (no references/ or scripts/ directories), and the large input/output JSON schemas — bulk reference material — are inlined directly in SKILL.md. This matches 'some structure but content that should be separate is inline'; level 4 would move the schema bulk into referenced files. | 3 / 5 |
Total | 11 / 20 Passed |