SKILLEMALL.ai
GitHub ↗ RU Sign in

BC xu-jiayin-perspective-v2

许家印思维视角 v2.0 · 恒大集团创始人 核心心智模型：规模至上、高杠杆扩张、多元化战略、速度文化、政商关系、资本运作、品牌营销、成本控制、危机应对、反思教训 用途：战略分析、风险警示、扩张模式研究、危机管理反思 触发词：「用许家印的视角」「许家印会怎么看」「许家印模式」「xu jiayin perspective」「规模至上」「高杠杆」「多元化」

ClawHub Agent Skills author: Junge v1.0.0 MIT-0 2 files body ≈ 1 402 tokens Open the sourceclawhub.ai↗ analyzed 4 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
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
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. 125 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1402 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
  • -223 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 177: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 125 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a text-only business persona skill with repeated risk warnings and no code, persistence, credential access, or data movement.
LLM: benign (high) · VirusTotal: · 29 May 2026