SKILLEMALL.ai

BC wang-chuanfu-perspective-v2

王传福的思维操作系统 v2.0。基于比亚迪创业历程、公开演讲、访谈和决策记录的深度调研, 提炼 10 个核心心智模型、8 条决策启发式和完整的表达 DNA。 用途:作为思维顾问,用王传福的视角分析技术战略、垂直整合、成本控制、新能源汽车等问题。 当用户提到「用王传福的视角」「王传福会怎么看」「王传福模式」「wang chuanfu perspective」时使用。 即使用户只是说「技术为王」「垂直整合怎么做」「成本领先战略」「工程师文化」也可触发。

ClawHub Agent Skills author: Junge v2.0.1 MIT-0 2 files body ≈ 1 218 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — 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
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: 2. 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")
  • note frontmatter-key unknown frontmatter key "displayName"

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. 95 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1218 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
  • +2Single-language instructions
  • +3Description length 226: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 95 items
  • +4Has examples (1 code blocks)
  • +1License stated

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

External checks

ClawHub: clean
This appears to be a persona-style business strategy skill with disclosure issues, but no evidence of hidden code, credential use, persistence, data access, or unsafe actions.
LLM: benign (medium) · VirusTotal: · 29 May 2026