BD jiuwei-radar-v3-stock-selection
九维雷达V3.0终极选股系统——基于行为金融学、量化因子与网络分析的中国A股选股框架，专为筛选"未来一年翻倍潜力股"设计。当用户需要：筛选股票池中翻倍概率最高的标的、全A股扫描输出S级TOP名单、对单只标的做九维深度评分(估值/超跌/质量/景气度/NLP情绪/网络结构/预期差/动量择时/市值弹性)、构建投资组合、讨论三档建仓与止损风控时，调用此skill。
九维雷达V3.0终极选股系统——基于行为金融学、量化因子与网络分析的中国A股选股框架，专为筛选"未来一年翻倍潜力股"设计。当用户需要：筛选股票池中翻倍概率最高的标的、全A股扫描输出S级TOP名单、对单只标的做九维深度评分(估值/超跌/质量/景气度/NLP情绪/网络结构/预期差/动量择时/市值弹性)、构建投资组合、讨论…
As a process D 41/100 · Unfinished process — 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: 10. 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 41/100
- 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
- 40Consistency. Frontmatter name (jiuwei-radar-v3-stock-selection) differs from the folder (v3-0)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 614 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +5Description has no quoted example phrases that should trigger the skill
- +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
- +3Description length 179: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.