Content
88%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.
A high-quality, actionable skill body with executable examples, explicit validation feedback loops, and clean one-level-deep disclosure to real bundle files. The only headroom is trimming duplicated guidance to tighten token efficiency.
Suggestions
Consolidate model capabilities that currently appear in both the 'Choosing a model' table and the 'Parameter support varies by model' list to reduce redundant tokens.
The worked-examples section repeats several flags already covered by the parameter table; consider trimming to one or two canonical examples plus a pointer.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and assumes Claude's competence (no 'what is an API key' filler), but the body is long with duplicated guidance across the model table, parameter list, and worked examples that could be consolidated. | 4 / 5 |
Actionability | Fully executable throughout: copy-paste-ready CLI invocations, a runnable curl example, and a concrete five-part prompt recipe cover the common cases with real flag values. | 5 / 5 |
Workflow Clarity | Clear sequence with explicit validation checkpoints — the free preflight capability check, --dry-run, and the 'look at the image / read the file back' verification step provide feedback loops for the billed operation. | 5 / 5 |
Progressive Disclosure | SKILL.md is a well-signaled overview with the bulk catalogue offloaded to references/models.md (verified present) and logic to scripts/generate_image.py; references are one level deep and both bundle files exist. | 5 / 5 |
Total | 19 / 20 Passed |