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BF xiaodu-control

小度智能设备控制技能。用于控制小度音箱、IoT设备、查看设备列表、语音播报等。当用户需要控制小度智能设备、查询设备状态、发送语音指令或管理智能家居时使用此技能。

ClawHub Agent Skills author: vividlife v1.0.0 MIT-0 10 files · 3 scripts body ≈ 708 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: references/device_management.md, references/troubleshooting.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/device_management.md, references/troubleshooting.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 10. 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")
  • warning missing-ref reference to a missing file: references/device_management.md
  • warning missing-ref reference to a missing file: references/troubleshooting.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/device_management.md, references/troubleshooting.md
  • 0Tools and files. 2 referenced file(s) missing: references/device_management.md, references/troubleshooting.md
  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (xiaodu-control) differs from the folder (xiaodu-iot)
  • 100Steps. 29 steps
  • 100Execution cost. Instruction body is 708 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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)
  • +3Description length 80: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 29 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: 61.

External checks

ClawHub: suspicious
This smart-home skill appears purpose-built, but it gives an agent real device-control and privacy-sensitive powers with weak guardrails around confirmation, secrets, logs, and persistent memory edits.
LLM: suspicious (high) · VirusTotal: · 29 May 2026