SKILLEMALL.ai

AC minsu-operator

民宿运营全能助手。提供从选址评估、装修设计、定价策略、平台运营(携程/美团/途家/小红书)、客户服务SOP到财务分析的完整民宿运营工作流。 当用户提到"民宿运营"、"民宿开店"、"民宿装修"、"民宿定价"、"民宿推广"、"民宿OTA运营"、"民宿获客"、"民宿差评处理"、"民宿收益管理"、"民宿经营"等关键词时触发。 适用于民宿主、民宿投资人、乡村民宿运营者、城市民宿经营者的全流程运营场景。

ClawHub Agent Skills author: katherine0325 v1.0.0 MIT-0 4 files body ≈ 866 tokens Open the sourceclawhub.ai analyzed 31 h ago

民宿运营全能助手。提供从选址评估、装修设计、定价策略、平台运营(携程/美团/途家/小红书)、客户服务SOP到财务分析的完整民宿运营工作流。…

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

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
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. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 866 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

  • +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
  • +5Description quotes 3 example trigger phrases
  • +3Description length 197: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a Chinese-language homestay operations advice skill with templates and calculations, and it does not include code, hidden execution, or data exfiltration behavior.
LLM: benign (high) · VirusTotal: · 8 Jun 2026