BC trader-stock-picks
顶尖操盘手视角的A股选股逻辑。基于量价关系、资金流向、筹码结构、融资融券变化、技术形态等多维数据，识别正在被操盘的股票标的。适合筛选低估值横盘吸筹、主力异动、洗盘末期、即将拉升的个股。每日盘前选股推荐、个股操盘手法分析、筹码结构诊断。
顶尖操盘手视角的A股选股逻辑。基于量价关系、资金流向、筹码结构、融资融券变化、技术形态等多维数据，识别正在被操盘的股票标的。适合筛选低估值横盘吸筹、主力异动、洗盘末期、即将拉升的个股。每日盘前选股推荐、个股操盘手法分析、筹码结构诊断。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
Proceduretype and topics are labelled automatically from the skill text
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: 6. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 70 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1826 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)
- +3Description length 117: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -217 emoji in the instructions: noise for the model
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 37 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This is a personalized AI-course planning skill with no evidence of hidden code execution, credential access, persistence, or data exfiltration.
LLM: benign (high) · VirusTotal: · 4 Jun 2026