Conciseness

The 概述 section repeats the description verbatim, and the 数据接口列表 table inlines a one-line description for ~195 interfaces that is largely redundant with each linked reference file's own title and content — a large block that should live one level deep rather than in SKILL.md, matching 'noticeably verbose; several unnecessary explanations or padded sections'.

Actionability

The 快速上手 section gives copy-paste ready pip install, token setup, and a complete working pro_api query example with concrete field parameters, plus two executable script references; minor gaps (no error-handling guidance inline) keep it just below fully-executable 5.

Workflow Clarity

The 快速上手 section lays out a clear sequenced workflow (install → register/get token → set env var → find interface in docs → write query code) with the example functioning as a verification checkpoint, matching 'clear sequence with most checkpoints present; minor validation gaps'; not 5 because there is no explicit validate/retry feedback loop if a query fails.

Progressive Disclosure

Structure is good: a concise overview, quick-start, parameter conventions, script links, and a per-interface table pointing to one-level-deep reference files (all 196 referenced .md files exist on disk); minor gaps — the link-prefix convention note is helpful but the interface table itself is large enough that some of its inlined description column is borderline inline content that could be fully delegated to the reference files.

Specificity

Names the data domain (股票、基金、期货、数字货币行情数据, 公司财务、基金经理基本面数据) but describes only one generic action (统一数据资产的对外服务方式 / 使用相关数据) without listing concrete operations like query, fetch, or extract, matching the anchor that names the domain with minimal concrete actions.

Completeness

It provides a clear 'what' (财经数据接口包 with listed data categories) but contains no 'Use when...' clause or any explicit trigger guidance for when Claude should invoke it, so per the judging guidelines completeness is capped at the level where 'what' is present but 'when' is missing — and the weakly-implied 'when' keeps it at 2 rather than 3.

Trigger Term Quality

It lists asset categories (股票, 基金, 期货, 数字货币) but lacks the natural phrases a user would say when needing the skill (e.g. 获取行情数据, 股票代码, ts_code, 财经数据) and omits the package name tushare as a trigger keyword, falling to 'one or two generic keywords; missing the natural phrases users say'.

Distinctiveness Conflict Risk

The Tushare-specific data domain (股票/基金/期货行情 + 财务/基金经理基本面 via 标准化API) is a fairly clear niche with distinct triggers and only minor overlap risk with other financial-data skills, matching 'mostly distinct; minor overlap risk with closely related skills'; it is not a 5 because no explicit trigger phrases are given.