BC hithink-astock-selector
通过自然语言查询进行 A 股股票筛选，支持行情指标、技术形态、财务指标、行业概念等多条件组合筛选。返回符合条件的相关股票数据。当用户询问针对行情、财务数据、技术指标、行业概念等A股股票筛选相关问题时，必须使用此技能。
通过自然语言查询进行 A 股股票筛选，支持行情指标、技术形态、财务指标、行业概念等多条件组合筛选。返回符合条件的相关股票数据。当用户询问针对行情、财务数据、技术指标、行业概念等A股股票筛选相关问题时，必须使用此技能。
As a process C 51/100 · 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.
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 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 100Steps. 27 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1904 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)
- +3Description length 108: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Structure: 22 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (11 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This skill is a disclosed A-share stock screening connector that sends user queries to 同花顺问财 using an API key, with no hidden persistence or unrelated local access found.
LLM: benign (high) · VirusTotal: · 23 Jul 2026