SKILLEMALL.ai

AC canyin-operator

小餐饮创业运营助手。提供从小餐饮选址、菜单设计、开业筹备、平台运营(美团/饿了么/抖音)、私域获客到财务分析的完整小餐饮运营工作流。 当用户提到"餐饮创业"、"小餐饮开店"、"奶茶店"、"小吃店"、"餐饮选址"、"餐饮菜单"、"餐饮定价"、"餐饮获客"、"外卖运营"、"餐饮财务"等关键词时触发。 适用于奶茶店、炸鸡汉堡、麻辣烫、黄焖鸡、卤味店、早餐店等小餐饮创业者、外卖商家、夫妻店的全流程运营场景。

ClawHub Agent Skills author: katherine0325 v1.0.0 MIT-0 4 files body ≈ 896 tokens Open the sourceclawhub.ai analyzed 2 d ago

小餐饮创业运营助手。提供从小餐饮选址、菜单设计、开业筹备、平台运营(美团/饿了么/抖音)、私域获客到财务分析的完整小餐饮运营工作流。 当用户提到"餐饮创业"、"小餐饮开店"、"奶茶店"、"小吃店"、"餐饮选址"、"餐饮菜单"、"餐饮定价"、"餐饮获客"、"外卖运营"、"餐饮财务"等关键词时触发。…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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: 4. 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 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. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 896 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 201: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a plain-text Chinese small-restaurant operations guide with no executable code, hidden automation, credential use, or unsafe system access.
LLM: benign (high) · VirusTotal: · 9 Jun 2026