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.
A well-structured persona skill with highly actionable, specialized guidance and clean progressive disclosure of research material; minor gains available from trimming supplementary sections, formalizing validation loops, and wiring scripts into the body.
Suggestions
Trim or move the 人物时间线 and 智识谱系 sections into references/ to tighten the body toward a lean overview, improving conciseness.
Formalize a validate→fix→retry loop in Step 2/Step 3 (e.g., an explicit 'if 反例出现, re-classify before answering' checkpoint) to lift workflow_clarity.
Reference the bundled scripts (e.g., merge_research.py, quality_check.py) from the body so the research workflow actually points to them, closing the progressive-disclosure navigation gap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and specialized with no padding of concepts Claude already knows, but the ~315-line body includes supplementary sections (人物时间线, 智识谱系) that push slightly past lean efficiency. | 4 / 5 |
Actionability | Highly operational guidance: a 3-step agentic protocol, a scenario-routing table, 5 models each with 一句话/证据/应用/局限, 8 heuristics each with 应用场景 and 案例/反例, and concrete 表达DNA rules — Claude knows exactly what to do. | 5 / 5 |
Workflow Clarity | Step 1→2→3 is a clearly sequenced protocol with a mandatory research gate and a falsification checkpoint (反面条件), but the validate→fix→retry feedback loops are implied rather than formalized. | 4 / 5 |
Progressive Disclosure | SKILL.md is an overview pointing one level deep to six verified references/research/*.md files, clearly signaled under 关键文件; the bundled scripts/ files are orphaned from the body (never referenced), leaving a minor navigation gap. | 4 / 5 |
Total | 17 / 20 Passed |