BD stock-analysis-cn
A股/港股/美股/ETF 全方位智能分析助手 v4.0。 核心特点：①结论先行②信号明确果断③盘中实时扫描④自动读取 ~/Desktop/股票知识库/。 数据来源：tushare realtime_quote（实时五档盘口）、akshare（资金流向/龙虎榜/研报）、yfinance（美股/港股）、Web搜索（消息面）。 严格数据规范：所有结论必须基于真实交易数据、历史新闻、真实研报，禁止编造任何数字。 Triggers: 任何包含股票/ETF代码或名称，并意图了解买卖建议的话语。
As a process D 49/100 · 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.
For the model run — optional
- 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: 5. 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 49/100
- 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 (stock-analysis-cn) differs from the folder (stock-analysis-cn-full)
- 100Tools and files. No external tools needed
- 100Steps. 27 steps
- 100Execution cost. Instruction body is 992 tokens
- 100Running it twice. No mutating operations
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 243: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
This is a disclosed Chinese stock-analysis skill that gathers market data and gives trading-oriented analysis, with no evidence of hidden execution, persistence, account access, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026