Content
92%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.
An exemplary instruction skill: concrete commands and tool calls, a well-sequenced workflow with validation and feedback loops, and lean tool-specific explanations with no filler. Only the slightest tightening of the rationale section is possible.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Efficient and prescriptive; explanations are limited to SpriteCook-specific behavior (preserved source, binary_alpha_v1 cutoff semantics) that Claude cannot know. Only minor trims are possible, e.g., 'Always work from the preserved source, not repeatedly from an already-thresholded preview' partly restates the prior paragraph. | 4 / 5 |
Actionability | Fully executable: exact command with arguments and flags ('python scripts/compare_alpha.py --metadata asset.json --source preserved.png --current current.png --output-dir alpha-comparison', '--cutoffs 48 72 96 120 144'), exact tool calls ('get_asset_metadata(asset_id)', 'set_asset_alpha_cutoff(asset_id, cutoff)'), and named outputs cover the common cases. | 5 / 5 |
Workflow Clarity | Clear 7-step sequence with explicit validation ('Download the returned output and verify it matches the selected candidate'), stop conditions (available=false, no improving candidate), URL-expiry refresh handling, and a feedback loop for refining around the best candidate. | 5 / 5 |
Progressive Disclosure | A compact (~50 line), well-sectioned SKILL.md with no need for external reference files; the referenced bundle script (scripts/compare_alpha.py) exists, and section headers make navigation easy. | 5 / 5 |
Total | 19 / 20 Passed |