Content
53%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 provides a clear, executable core workflow backed by a real, well-documented script and a good reference index with when-to-read signals. However, it is noticeably verbose (repeated code snippets, mock-output examples, an inline API section duplicating the reference file) and contains no error-handling or validation checkpoints for the transcription API calls.
Suggestions
Cut the duplicated transcribe() snippets and Examples 4–5; show the call once in the standard flow, keep 1–2 rewrite examples, and delete the mock UI strings ('文本已复制到剪贴板！').
Replace the inline 'API 参考' section with a pointer to references/asr-api-config.md, which already documents the endpoints and parameters.
Add validation checkpoints after each transcribe() call — check result['success'], and specify what to do on failure (inspect the error code from asr-api-config.md's 常见错误码 section and retry or report to the user).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is noticeably padded: the same transcribe() snippet is repeated six times across the standard flow and examples, the multi-segment concatenation workflow is described twice (标准流程 step 5 and the 多段录音拼接流程 section), Example 5 adds nothing beyond mock UI strings ('文本已复制到剪贴板！'), and a ~30-line inline 'API 参考' section duplicates material that belongs in references/asr-api-config.md. It is not a 1 because it never explains concepts Claude already knows — the padding is repetition, not tutorializing. | 2 / 5 |
Actionability | The transcription path is genuinely executable — 'from scripts.asr_transcriber import Qwen3ASRTranscriber' with concrete transcribe() calls that match the actual script signature (audio_file, language, return_timestamps all verified against scripts/asr_transcriber.py), and the rewrite steps give per-format style guidance. It falls short of 5 because the copy/share steps ('智能体将改写后的文本复制到剪贴板', '适配微信等平台') provide no actual mechanism a tool-using agent could execute. | 4 / 5 |
Workflow Clarity | The sequence (录音 → 转写 → 改写 → 复制/分享, plus the multi-segment variant) is clearly ordered and well-numbered, but there are no validation checkpoints anywhere: no guidance on checking result['success'], handling API errors, or recovering when the script returns nothing — matching the 'sequence present but checkpoints missing' anchor rather than the 4 with most checkpoints present. | 3 / 5 |
Progressive Disclosure | The 资源索引 section is a well-signaled, one-level-deep map: each bundle file is linked with a '何时读取' condition ('需要了解 ASR API 配置和参数时', '需要了解文本改写规则和模板时') and all referenced paths exist on disk. It is not a 5 because the inline 'API 参考' section duplicates content already covered by references/asr-api-config.md (endpoints and parameter docs), which is exactly the bulk-in-the-wrong-place pattern anchor 4 permits only as minor. | 4 / 5 |
Total | 13 / 20 Passed |