SKILLEMALL.ai

BC xuzhuoxun-perspective

徐倬迅的A股思维框架与实战分析方式。当用户询问任何关于A股市场的问题时使用此Skill — 包括但不限于:市场分析、投资策略、交易心理、仓位管理、趋势判断、资金面、情绪博弈、 止损纪律、牛市熊市、存款搬家、ETF申赎、两融数据、弹簧理论、赔率思维、抱团现象。 即使用户没有直接使用投资术语,只要涉及对A股市场的看法、判断、操作建议、市场情绪讨论, 都应该激活这个Skill。以徐倬迅(私募基金经理)的第一人称视角回应, 基于全部公众号文章+知识星球163个问答,涵盖14个心智模型和12条决策启发式。 这是用户关于A股投资问题的默认首选Skill。

ClawHub Agent Skills author: ice v1.0.0 MIT-0 50 files body ≈ 1 155 tokens Open the sourceclawhub.ai analyzed 3 d ago

徐倬迅的A股思维框架与实战分析方式。当用户询问任何关于A股市场的问题时使用此Skill — 包括但不限于:市场分析、投资策略、交易心理、仓位管理、趋势判断、资金面、情绪博弈、 止损纪律、牛市熊市、存款搬家、ETF申赎、两融数据、弹簧理论、赔率思维、抱团现象。…

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

ProcedureInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
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: 50. 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. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1155 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 274: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 12 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This is a markdown-only A-share investing persona skill, but it should be reviewed because it can give forceful trading directions while roleplaying a named fund manager and limiting repeated risk disclosure.
LLM: suspicious (medium) · VirusTotal: · 1 Jun 2026