SKILLEMALL.ai

BC caopan-baodian

当用户询问《股票操盘宝典》相关内容,或在中国A股交易领域寻求操作指导时调用: 市况判定(现在是什么市况/牛熊震荡)、选股(怎么选牛股/大牛股必要条件)、技术买卖点(MACD/KDJ/DMI怎么看/金叉死叉)、 风险控制与资金管理(仓位/止损/避免贪婪)、操作系统(有没有一套可执行规则)、择时vs择股分工、股市二元论决策、 缠论式结构与三类买卖点、右侧确认进场。 不适用于: 具体个股的确定性涨跌预测、荐股、加杠杆的激进建议、以及任何把"周期尾数/天干地支"当作可靠预测工具的用法。 Triggers: 股票操盘宝典/胡斐/A股/牛市/熊市/择时/择股/买点/卖点/仓位/止损/MACD/KDJ/DMI/大牛股

ClawHub Agent Skills author: lvjin1983 v1.0.0 MIT-0 18 files body ≈ 792 tokens Open the sourceclawhub.ai analyzed 3 d ago

当用户询问《股票操盘宝典》相关内容,或在中国A股交易领域寻求操作指导时调用: 市况判定(现在是什么市况/牛熊震荡)、选股(怎么选牛股/大牛股必要条件)、技术买卖点(MACD/KDJ/DMI怎么看/金叉死叉)、…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description 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. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 792 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 305: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 19 items
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This is not malware, but it should be reviewed because it can give broad, actionable stock-trading guidance without clear financial-advice safeguards.
LLM: suspicious (high) · VirusTotal: · 2 Sept 2026