AC stock-selecter
统一选股技能包，整合14种策略（ROE筛选、MACD底背离、高股息、低估值、 费雪成长股、长期低位、近期放量、趋势分析、K线形态、布林带下轨、筹码集中、 现金流质量、北向资金、股东增持、分析师目标价），支持单策略、多策略组合筛选。 触发词（精准触发，覆盖明确选股意图）： 按策略名：ROE选股、ROE筛选、MACD选股、MACD筛选、MACD底背离、 股息选股、高股息选股、估值选股、低估值、成长股筛选、费雪成长股、 低位放量选股、长期低位选股、近期放量、趋势选股、形态选股、K线形态筛选、 布林带选股、筹码集中选股、现金流质量、北向资金选股、股东增持选股、分析师目标价选股 按组合意图：组合选股、筛选股票、多策略选股、综合选股、并发选股、全部策略选股 按结果要求：按ROE排名、按评分排名、按股息率排名、取交集、取并集 明确排除（这些场景应激活其他skill）： - 任何包含具体股票代码/名称的个股分析请求 - "帮我看看XX股票"、"XX公司怎么样"、"XX值不值得买" - "查一下行情"、"看资金流向"等纯数据查询
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 29. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2021 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 462: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (20 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.