BC liu-qiangdong-perspective-v2
刘强东思维视角 v2.0 · 京东创始人 核心心智模型：成本效率体验铁三角、自营模式信仰、物流即护城河、兄弟文化、下沉市场战略、技术驱动转型、创始人控制力、危机应对能力、供应链整合能力、农村情结与社会责任 用途：商业决策、战略规划、物流建设、成本控制、下沉市场 触发词：「用刘强东的视角」「刘强东会怎么看」「刘强东模式」「成本效率体验」「自营模式」
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown 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. 171 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2131 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +2Single-language instructions
- +3Description length 174: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 171 items
- +4Has examples (10 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 prompt-only business persona skill with an activation-scope quality issue, not evidence of malware or unsafe system access.
LLM: benign (medium) · VirusTotal: · 29 May 2026