BC stock-select
AI驱动的智能选股与交易助手。自然语言选股（如"涨停股"、"主力净流入>10%"），Level2主力资金数据，集合竞价异动监控，多券商账户管理与AI辅助下单。让选股→分析→交易一站式完成。触发词：选股、问财、股票查询、主力资金、大单净额、涨停、集合竞价、股票行情、交易下单。
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: 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 51/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 132 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2488 tokens
- low 12 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
- +2Single-language instructions
- +3Description length 137: enough signal without eating the budget
- +4Structure: 38 headings
- +3Step-by-step instructions: 132 items
- +4Has examples (20 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: suspicious
This stock assistant is transparent about using an external API, but it can access financial accounts and place live trades without strong confirmation safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026