BC restaurant-business-analyst
餐饮行业商业模式全景分析 Skill。输入餐饮品牌或业态，自动生成"战略+策略+指标"三位一体分析报告。 支持 HTML + PDF 双格式输出，含数据置信度标注。 覆盖快餐/茶饮/火锅/正餐/咖啡/烘焙/卤味/预制菜等8大业态。 触发词：分析[品牌]商业模式、[品牌]战略分析、[业态]案例分析、[品牌]翻台率坪效、 拆解[品牌]增长策略、[品牌]加盟模式、对比[品牌A]和[品牌B]、[品牌]供应链模式
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: 7. 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")
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. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 612 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
- -219 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 204: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 38 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: clean
This is a coherent restaurant business analysis skill whose online search and local report output are disclosed and fit its purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026