AD xiaodu-control
当用户要连接、配置、验证、排障或控制小度智能屏 MCP 与小度 IoT MCP 时使用，包括识别小度授权页文本、写入 mcporter 配置、列设备、文本播报、语音指令、拍照、资源推送，以及灯光/空调/风扇/窗帘/电视机顶盒/投影/扫地机/门锁等 IoT 控制与场景触发。
As a process D 39/100 · Unfinished process — 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: 23. 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 39/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (xiaodu-control) differs from the folder (xiaodu-control-official)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 98 steps
- 100Execution cost. Instruction body is 1351 tokens
- low 10 top-level sections: this looks like several domains in one skill
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 136: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 98 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
- +3All 13 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: suspicious
The skill matches its stated smart-home purpose, but it can store a powerful token and trigger cameras or real devices without strong built-in confirmation safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026