SKILLEMALL.ai

BD xiaomi-home

小米/米家智能家居设备控制。通过 MCP Server 工具控制家中的小米设备,包括灯、空气净化器、电暖气、空调、风扇、扫地机器人、窗帘等。当用户提到任何关于智能家居控制的指令时触发,如"把灯关掉"、"开空调"、"净化器调到睡眠模式"、"客厅太暗了"、"家里空气不好"等。即使用户没有明确说"小米"或"米家",只要涉及家居设备控制,都应该触发此 skill。也支持查询设备状态,如"空气质量怎么样"、"家里几度"等。

ClawHub Agent Skills author: Lino Silvan v1.1.0 MIT-0 2 files body ≈ 725 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
49/100
Unfinished process
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")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (xiaomi-home) differs from the folder (mijia-home)
  • 100Tools and files. No external tools needed
  • 100Steps. 44 steps
  • 100Execution cost. Instruction body is 725 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 208: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 44 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This is a real Xiaomi smart-home control skill, but it asks for raw account credentials and can operate cameras and multiple home devices without enough consent or safety boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026