Content
72%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 highly actionable and well-structured with properly signaled one-level references, but it is padded by verbose example outputs and lacks validation checkpoints in its transcription and splice workflows.
Suggestions
Trim the full sample outputs in 示例 1–5 to brief sketches or remove the ones that merely show formats Claude already knows, to reduce token cost.
Add explicit validation steps—check result['success'] and transcribed text length before proceeding to rewrite or splice, and retry/re-report on failure.
For the multi-segment splice flow, add a checkpoint that verifies each segment transcribed successfully before concatenating, with error-recovery guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Operational sections are efficient, but the five full example outputs (meeting notes, email, social-media post, splice, share) re-demonstrate formats Claude already knows how to produce, adding padded length that could be trimmed. | 3 / 5 |
Actionability | Provides copy-paste-ready executable code for transcription ('from scripts.asr_transcriber import Qwen3ASRTranscriber ... transcriber.transcribe(...)') plus a concrete API reference documenting the method signature and return dict, fully covering the common cases. | 5 / 5 |
Workflow Clarity | The standard and multi-segment flows are clearly numbered, but there are no validation checkpoints—the workflow never checks result['success'] or verifies transcription quality before splicing, and the batch splice operation triggers the validation cap. | 3 / 5 |
Progressive Disclosure | A 资源索引 section signals one-level-deep references with explicit '何时读取' cues to scripts/asr_transcriber.py, references/asr-api-config.md and references/text-rewrite-guide.md (all real files), keeping the overview lean while details live in the bundle. | 5 / 5 |
Total | 16 / 20 Passed |