AD stock-analyst
股票智能分析助手，支持A股、港股、美股的行情抓取、技术指标解读和研报生成。触发场景：用户提到"股票分析"、"看一下XX股"、"XX的技术面"、"买不买XX"、"研报"、"财报解读"、"帮我分析XX"、"XX值不值得买"、"XX的走势"、"技术分析"、"MACD"、"RSI"、"K线"、"均线"、"PE"、"PB"、"ROE"、"基本面"等关键词时激活。支持股票代码（SH600519、SZ000001、AAPL、0700.HK）或股票名称（茅台、腾讯、苹果）查询。
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: 3. 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-analyst) differs from the folder (cn-stock-analyst)
- 100Tools and files. No external tools needed
- 100Steps. 42 steps
- 100Execution cost. Instruction body is 834 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
- +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 4 example trigger phrases
- +3Description length 233: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: clean
This is a Markdown-only stock analysis skill that fetches public market data and produces reports, with no evidence of hidden code, credential use, persistence, or trading authority.
LLM: benign (high) · VirusTotal: · 29 May 2026