Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is actionable and well-structured with executable examples for both media types, but loses points on conciseness due to bilingual redundancy and on workflow clarity due to missing download-verification checkpoints for the batch image operation.
Suggestions
Collapse the bilingual Chinese/English restatements (e.g., the video one-clip constraint) into a single language to reduce duplicate tokens.
Add an explicit validation step after downloads, e.g. verify non-zero file sizes and report any failed/missing clips before returning the result JSON.
State the relationship to the PATH wrapper and scripts/pixabay_search.py explicitly so the invoked binary is unambiguous from the body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with executable commands and tables, but the bilingual Chinese/English restatements and the repeated one-clip constraint (prose plus options table) add tokens that could be tightened; not a perfect 3. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready bash commands with real flags and defaults for both image and video modes, backed by the matching scripts/pixabay_search.py interface. | 3 / 3 |
Workflow Clarity | Usage steps and the video one-clip/duration-matching guidance are present and sequenced, but the batch download operation has no explicit validation or verify-succeeded checkpoint, which caps it at 2 per the rubric. | 2 / 3 |
Progressive Disclosure | A single-purpose skill with well-organized one-level sections (Usage, When to Choose, Options, Output, Environment) and a clearly signaled bundle script, with no deep reference nesting. | 3 / 3 |
Total | 10 / 12 Passed |