Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise, well-structured, and clearly references a real script, but its output documentation is inaccurate and it omits dependency and credential-setup details needed for the command to actually run.
Suggestions
Correct the output description: the script downloads each image to a file (e.g. `generated_image_<ts>_<i>.png`) and prints the filepath, rather than returning a URL.
Add a prerequisites note covering `pip install volcenginesdkarkruntime` and the required environment variables (`MODEL_IMAGE_API_KEY` / `ARK_API_KEY`).
Clarify the vague 'cd到对应的目录' instruction by stating the exact working directory (the skill root containing `scripts/`).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with short, focused sections and no padding explaining concepts Claude already knows, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | It gives a concrete command and a copy-paste example, but claims the script returns a URL while the script actually downloads the image to a file and prints the filepath, and it omits the `volcenginesdkarkruntime` dependency and credential-setup requirements, matching the 'concrete guidance but incomplete; missing key details' anchor. | 2 / 3 |
Workflow Clarity | For this simple single-purpose skill the three steps (prepare prompt, run script, observe output) are clearly sequenced and unambiguous; no validation checkpoint is required for non-destructive image generation. | 3 / 3 |
Progressive Disclosure | The skill is under 50 lines with well-organized sections and a single one-level-deep reference to the real bundle file `scripts/image_generate.py`, matching the guideline that such skills can score 3 with just well-organized sections. | 3 / 3 |
Total | 11 / 12 Passed |