Content
77%Reviews 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 clearly workflow-driven with validation feedback loops, but it is a monolithic single file whose anchor registry and JSON schemas are inline rather than progressively disclosed, and some prose could be tighter.
Suggestions
Move the anchor registry (academic + industry anchors) and/or the full output JSON schemas into reference files under references/, linking to them one level deep from SKILL.md to improve progressive disclosure.
Tighten the core-principles and three-layer orthogonality explanations, which are restated across the "核心原则", "呈现形式判断", and "结构偏好强度" sections.
If the skill grows further, add a brief "Quick start" overview at the top so the dense operational detail is not the first thing loaded.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely operational with no padding of general knowledge, but repeated orthogonality explanations and the seven core-principle items could be tightened; some explanatory prose does not strictly earn its tokens. | 2 / 3 |
Actionability | Provides concrete, copy-paste-ready search strings (e.g. `site:equator-network.org {report_type} reporting guideline`), a two-step journal-finding procedure, signal-detection tables, and exact JSON output schemas with field constraints. | 3 / 3 |
Workflow Clarity | Sequences the work in six numbered steps with an explicit validation checkpoint (步骤 4, is_primary_source), a discard-and-continue feedback loop, and concrete exit conditions plus a "不要做" guardrail list. | 3 / 3 |
Progressive Disclosure | Well-organized into sections but everything is inline in a single ~360-line SKILL.md with no bundle files; the anchor registry and output schemas are content that could be split out and referenced one level deep. | 2 / 3 |
Total | 10 / 12 Passed |