Conciseness

The bulk of the body is high-value domain data Claude does not know — concrete thresholds ("融资余额月增>10% → 过热警示"), historical levels ("2015年牛市顶部: 2.27万亿"), and market-specific ranges — presented as dense tables rather than prose. Minor over-explanation could be trimmed, e.g., "融资 = 借钱买股（看多杠杆）", the Buffett shoeshine anecdote ("出租车司机/理发师开始讨论股票 = 顶部"), and the well-known contrarian adage "别人恐惧时贪婪", keeping it below the lean anchor 5 but comfortably above the "several unnecessary explanations" of a 3.

Actionability

The skill gives executable guidance for an instruction-only analysis task: exact signal thresholds (">100亿（强烈信号）"), a weighted composite formula ("0.25×恐贪 + 0.20×PCR + ..."), a normalization scheme (0-100 buckets), an emotion-to-position mapping table, and a full copy-paste output template. It is not a 5 because data acquisition is left vague — sources are named ("交易所", "中登", "Deribit") with no commands, APIs, or retrieval steps, so Claude must figure out how to obtain the numbers itself.

Workflow Clarity

The pieces of a workflow exist (indicator tables → normalization rule → composite formula → position mapping → output template) but are never assembled into an explicit ordered procedure; a reader must infer the sequence from the section order. Cross-validation is advised only in passing ("与融资余额、ETF申赎交叉验证") rather than as a checkpoint, and there is no step telling Claude how to proceed when indicators conflict (the "PCR低 + VIX高 = 矛盾信号" case is flagged but not resolved). This matches anchor 3: sequence present but implicit, checkpoints missing.

Progressive Disclosure

There are no bundle files at all, so everything — including ~270 lines of per-market reference tables, historical threshold archives, and the social-media cycle model — lives inline in SKILL.md. Section headers are clear and well-organized, but content that clearly belongs in separate reference files (e.g., historical 融资余额 thresholds, per-market PCR tables, the 舆情 framework) is inlined, matching anchor 3 rather than 4, since no content is split out or navigable via references.

Specificity

The description names the domain ("市场情绪分析") and enumerates several concrete capability areas — "恐贪指数/Put-Call Ratio/融资融券/北向资金信号解读、社交媒体舆情量化框架" — covering all five dimensions the body actually addresses, with concrete verbs like "解读" (interpret) and "量化" (quantify). It falls short of a 5 because it enumerates topics more than distinct actions (e.g., no mention of the composite scoring or output deliverable), and short of anchor 3 because coverage is broad and specific rather than 1-2 generic actions.

Completeness

The "what" is clear (interpret sentiment indicators across five dimensions with a quantification framework), but there is no "when to use" clause or equivalent trigger guidance anywhere in the description, which caps completeness at 3 per the rubric guidelines. It is not a 2 because the "what" is specific and multi-part rather than vague, and not a 4 because no "when" is present even implicitly.

Trigger Term Quality

Terms like "恐贪指数", "Put-Call Ratio", "融资融券", "北向资金", "社交媒体舆情" are exactly what a user analyzing market sentiment would say, giving good keyword coverage. It is not a 5 because common synonyms and variations are missing — e.g., "sentiment", "investor sentiment", "情绪指标", "VIX", "舆情监控" — but it clearly exceeds the "some relevant keywords, missing variations" of a 3.

Distinctiveness Conflict Risk

Indicators like 融资融券 and 北向资金 plus Put-Call Ratio pin this to a clear niche (quantitative market-sentiment reading, A-share/crypto focused) with distinct triggers. Minor overlap risk remains with broader market-analysis or technical-analysis skills since the top-level phrase "市场情绪分析" is somewhat broad, keeping it below the "clear niche, minimal conflict" of a 5.