Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is a well-structured, actionable data-source catalog with excellent progressive disclosure and executable examples. The main weaknesses are minor redundancy in the overview and the absence of explicit validation checkpoints in the workflow.
Suggestions
Replace the verbatim-restated overview with a brief, distinct summary or remove it to avoid duplicating the frontmatter description and save tokens.
Add an explicit verification checkpoint in 快速上手, e.g. '运行后检查返回的 DataFrame 是否为空或报权限不足（积分不足）错误，并据此调整接口参数或权限。'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient — a tight quick start and short per-interface descriptions — but the overview restates the frontmatter description verbatim and the link-convention note (line 50) is auxiliary text that could be trimmed. | 2 / 3 |
Actionability | Quick start provides fully executable install, token, and Python code, plus links to complete example scripts (verified to exist), and the interface table maps every API to a per-interface reference doc — copy-paste ready guidance. | 3 / 3 |
Workflow Clarity | Quick start is a clear ordered sequence (install → register/token → find interface → run code), but there are no explicit validation or checkpoint steps; the sequence is present yet checkpoints are only implicit. | 2 / 3 |
Progressive Disclosure | The body is a clean overview with one-level-deep, well-signaled links to per-interface reference files (verified to exist) and example scripts, with content appropriately split for easy navigation. | 3 / 3 |
Total | 10 / 12 Passed |