Content
82%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.
Highly actionable, concise content with executable code and a clear recommended workflow. Minor repetition of key gotchas and the absence of explicit error-recovery loops in the workflow keep it from the top tier.
Suggestions
Consolidate the asterisk-size and ASR-model gotchas into a single authoritative callout to reduce repetition across Current API, Parameters, and Troubleshooting.
Add an explicit validate/retry loop for ASR polling failures (e.g., on FAILED or timeout: check error, adjust timeout_seconds, re-submit) to strengthen workflow checkpoints.
Consider moving the per-tool request/response API reference into a separate reference file so SKILL.md stays a lean overview with one-level-deep pointers.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and fluff-free with no generic concept explanations, but the asterisk-size gotcha and the 'qwen3-asr-flash-filetrans not sync' warning are each restated across Current API, Parameters, and Troubleshooting — minor repetition that could be consolidated. | 4 / 5 |
Actionability | Provides concrete endpoints, headers, request bodies, response JSON paths, and copy-paste-ready Python selector examples for all three tools, fully covering the common cases. | 5 / 5 |
Workflow Clarity | The Recommended Workflow cleanly sequences image/TTS/ASR/subtitle steps with the ASR poll-until-SUCCEEDED checkpoint, but lacks explicit validate-then-fix error-recovery loops for the polling and approval steps. | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections (Current API, Usage, Workflow, Parameters, Troubleshooting, Safety) with no bundle files to navigate; at ~130 lines the per-tool API reference is somewhat long for a single file, keeping it just short of ideal separation. | 4 / 5 |
Total | 17 / 20 Passed |