BB quantflow-skill
面向中文自然语言的量化金融数据研究技能。用于把"看看这只股票最近怎么样""帮我查财报趋势""最近哪个板块最强""北向资金在买什么""给我导出一份行情数据"这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。同时集成了 AKQuant 量化投研引擎，支持策略回测和量化分析。
As a process B 71/100 · Nearly there — weak spots: progress reporting
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- 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: 12. 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") - note
frontmatter-keyunknown frontmatter key "requirements"
Process rating: all ten parameters 71/100
- 0Progress reporting. Says nothing while it works
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 136 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 986 tokens
- 100Running it twice. No mutating operations
- low 14 top-level sections: this looks like several domains in one skill
- medium 3 test cases, all positive: not one "should refuse" or "should ask first"
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)
- +4No input/output examples
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -38 of 8 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 193: enough signal without eating the budget
- +4Structure: 41 headings
- +3Step-by-step instructions: 136 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This is a coherent financial data research and backtesting skill with expected network use and local outputs, not a hidden trading or exfiltration tool.
LLM: benign (high) · VirusTotal: · 29 May 2026