Content
68%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 content is well-structured and highly actionable with executable commands and real referenced bundle files, but the multi-step batch workflow lacks validation checkpoints and repeats script listings across sections. Tightening redundancy and adding verification steps would lift the weakest dimensions.
Suggestions
Add validation/verification checkpoints (e.g. confirm each output file exists and is non-empty before proceeding, or verify PDF extraction succeeded) to lift workflow_clarity above the batch-operation cap of 3.
Consolidate the script listing — keep full parameter details in '操作步骤' and have '资源索引' and '使用示例' reference rather than re-list them — to reduce redundancy and improve conciseness.
Specify concrete output formats for the agent-driven steps (step 5 dialogue script schema, step 8 summary image layout) so all steps carry equally actionable guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and avoids explaining concepts Claude already knows, but script invocations are repeated across '操作步骤', '资源索引', and '使用示例', which could be trimmed. | 4 / 5 |
Actionability | Concrete executable bash commands with explicit parameters are given for every script, but agent-driven steps 5 (dialogue script) and 8 (summary image) lack concrete format/spec guidance. | 4 / 5 |
Workflow Clarity | A clear 9-step sequence with parameters and optional branches is present, but there are no validation/verification checkpoints; since this is a batch operation generating many outputs, workflow clarity is capped at 3. | 3 / 5 |
Progressive Disclosure | Well-organized sections with one-level-deep, clearly signaled references to real bundle files (scripts/*.py, references/stopwords.txt); minor redundancy from listing scripts in three places keeps it just below 5. | 4 / 5 |
Total | 15 / 20 Passed |