Content
85%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 highly actionable and workflow-clear, with concrete CLI commands, a full JSON example, and validation/feedback loops. The chief gap is progressive disclosure: schema material is inlined while existing reference files go unlinked.
Suggestions
Replace the inlined schema/field lists with pointers to references/story_schema.yaml (e.g. "See [story_schema.yaml](references/story_schema.yaml) for required fields") and link references/examples.md from the plan section.
Trim the TPB/Maslow theory intro sentences to just the value tables and field semantics, trusting Claude's prior knowledge of those frameworks.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational, using tables and concrete commands rather than padding, but includes brief theory intros ("计划行为理论（TPB）认为行为意图由三类因素形成") that slightly over-explain concepts Claude already knows. | 4 / 5 |
Actionability | It provides copy-paste-ready CLI commands in a table, a complete executable JSON plan example, and exact field/value enumerations (location_policy, maslow_reason, tpb_reason) covering the common cases. | 5 / 5 |
Workflow Clarity | The per-step flow is explicitly sequenced (情况 A submit / 情况 B act on active_segment), with an explicit validation checkpoint ("校验通过才写文件，否则返回逐字段修复提示") and feedback loops for error recovery (record/deviate/revise/carryover). | 5 / 5 |
Progressive Disclosure | The body is well-sectioned, but schema detail that already exists in references/story_schema.yaml is duplicated inline, and references/examples.md and story_schema.yaml are never linked or signaled from the body, leaving those bundle files orphaned. | 3 / 5 |
Total | 17 / 20 Passed |