Content
80%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 is a tight, executable reference: all commands are real and copy-paste ready, model-specific constraints are documented in scannable tables, and structure is appropriate for the skill's size. The notable gap is the absence of any validation or feedback loop for what is a paid batch API operation, which caps workflow clarity.
Suggestions
Add a brief pre-flight/validation note for batch runs: confirm the desired count with the user (each image costs money) and check that OPENAI_API_KEY is set before invoking the script.
Document error handling and retry behavior — what to do when the API returns an error mid-batch and how to verify all expected images plus prompts.json were written before opening the gallery.
Trim the duplication between the 'Useful flags' examples and the 'Model-Specific Parameters' tables (e.g., drop sizes/qualities already shown in the examples, or shorten the examples to one line per model).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and information-dense (run commands, per-model parameter tables, output listing) with almost no explanation of concepts Claude already knows. Not a 5 because there is minor redundancy: the 'Useful flags' examples already demonstrate sizes/qualities/styles that the 'Model-Specific Parameters' section then repeats, and 'The script automatically selects appropriate defaults based on the model' is stated twice in different words. | 4 / 5 |
Actionability | Every example is a fully executable command (verified: --count, --model, --size, --quality, --background, --output-format, --style, and --out-dir all exist in scripts/gen.py), and the examples cover the common cases for all three model families. Copy-paste ready with concrete flag values, matching the top anchor. | 5 / 5 |
Workflow Clarity | The single run action is unambiguous ('python3 {baseDir}/scripts/gen.py' then open the gallery), but this is a batch operation (default --count 8 against a paid API) with no validation or verification steps — no guidance on confirming count/cost before running, handling API errors, retrying failures, or checking that all images and prompts.json landed. Per the rubric's cap, a batch skill without validation cannot score above 3, which overrides the simple-skill exception. Not a 2 because the sequence that exists is clear and complete for the happy path. | 3 / 5 |
Progressive Disclosure | For a skill this small, keeping everything in one well-organized file is the right call: 'Run', 'Model-Specific Parameters', and 'Output' sections are cleanly headed, the single bundle file (scripts/gen.py) is referenced correctly at one level deep, and there is no content that clearly belongs in a separate reference file. Matches the simple-skill case of clear organization with no unnecessary nesting or buried references. | 5 / 5 |
Total | 17 / 20 Passed |