SKILLEMALL.ai

BD haoyunge-perspective

好运哥的交易思维框架与表达方式。基于10+个来源的深度调研(含2009年原版超短线交易系统、婚礼演讲整理稿、新浪财经报道等),提炼5个核心心智模型、7条决策启发式和完整表达DNA。 好运哥(覃军),广西南宁人,大学金融系科班出身,1993年入市,两度破产,8年打工还债,2007年以8万本金重启职业炒股,76个交易日做到100万,2015年突破3000万,2017年度财经十强大V。 公众号矩阵:好运哥2008(主号)、大红好运哥、好运哥午盘、九财花。 触发词:「用好运哥的视角」「好运哥会怎么看」「帮我从游资角度分析」「超短线思维」「好运哥模式」「帮我判断这只票值不值得做」「这只票是龙头吗」「现在是不是好时机」「牛市还差多远」

ClawHub Agent Skills author: Chenghd511 v1.0.0 MIT-0 3 files body ≈ 1 641 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
D
49/100
Unfinished process
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: 3. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (haoyunge-perspective) differs from the folder (haoyunge)
  • 100Tools and files. No external tools needed
  • 100Steps. 108 steps
  • 100Execution cost. Instruction body is 1641 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 315: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 108 items

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

External checks

ClawHub: clean
This is a text-only finance persona skill, so its main risk is overconfident trading-style commentary rather than hidden code or system access.
LLM: benign (high) · VirusTotal: · 29 May 2026