Conciseness

The body is dense with operational specifics and avoids explaining concepts Claude already knows, but it is noticeably repetitive and could be tightened: the ≤65% probability clamp appears three times (step 4, 风险铁律 2, 反模式 table), the ~25-line ASCII workflow diagram restates the seven section headings that follow it, and the 反模式 table overlaps heavily with 风险铁律 (年线, 高开>7%, 65% clamp, T+1 仓位). The 自检清单 then recaps both sections again.

Actionability

Guidance is fully executable throughout: copy-ready search query templates ('{股票代码} 今日 龙虎榜'), explicit scoring weights and -2..+2 anchors, concrete formulas (仓位金额 = 账户净值×2% ÷ (入场价−止损价) × 入场价; 价格区间 via ATR × 1.28), a fixed report skeleton, exact file naming, and worked example output in step 7. No vague directions remain.

Workflow Clarity

The 7-step workflow is strictly sequenced with explicit validation checkpoints and feedback loops: P0→P1→P2 search priority with '没查到则预测置信度降一级', forced confidence downgrade on hedging signals, a hard clamp rule, a 15-item 自检清单 gated by '未通过任何一项 = 重新写,不能交付', and a 反模式 table requiring rework. This matches the top anchor: clear sequence, explicit validation, error-recovery loops, and a checklist.

Progressive Disclosure

Structure is good: six reference files plus a report template in assets/, each existing on disk and one level deep, all well-signaled in the 资源引用 section with content descriptions and in-line pointers at each step. Slightly below the top anchor because the 367-line body still inlines material duplicated in the bundle — the step 3 scoring table and step 4 probability/price formulas repeat what references/four-dimension-framework.md and references/scoring-system.md hold — so SKILL.md is more than a lean overview.

Specificity

The description lists multiple specific concrete actions: '用 mcp__MiniMax__web_search 搜证大盘环境、龙虎榜、北向资金、融资融券', a quantified '四维分析框架(大盘环境 30% / 资金行为 30% / 技术面 25% / 消息面 15%)', '方向预测(看多/看空/震荡 + 概率百分比 + 价格区间)', and a concrete output file pattern 'a-stock-{代码}-{YYYY-MM-DD}.md'. Coverage is comprehensive across search, scoring, output format, and chart types with no gaps.

Completeness

It explicitly answers both 'what' (four-dimension weighted analysis producing direction + probability + price range, written to a named markdown file) and 'when' ('当用户输入A股股票代码...或公司名称...并要求预测次日走势、给出交易计划、评估盈亏概率时,触发本 skill'), plus explicit 适用场景 and 不适用 with redirects to sibling skills.

Trigger Term Quality

Good natural trigger coverage: stock codes ('600519、000858、300750、688981、430090'), company names ('贵州茅台'、'宁德时代'、'比亚迪'), and user actions ('预测次日走势、给出交易计划、评估盈亏概率') are all phrases users would actually say. A few common colloquial variants ('明天会涨吗', '值不值得买', '能不能追') are missing, which keeps it just below the comprehensive-synonym anchor 5.

Distinctiveness Conflict Risk

Clear niche (A股 T+1 next-day prediction) with explicit boundaries that redirect overlapping requests elsewhere: '长线基本面估值(改用 finance-core-analysis)、日内高频交易、港股/美股(改用 us-stock-prediction)'. Code-range examples (600/000/300/688/430) further constrain triggering to A-shares, minimizing conflict risk.