AD xiaodu-wake-up-routine-official
基于已安装的 xiaodu-control-official 编排儿童起床场景。当用户说“叫孩子起床”“开始早安模式”“帮我把孩子叫醒”，或要求让房间进入起床状态时使用。这个 skill 会复用 xiaodu-control-official 的现有脚本，对小度智能屏和小度 IoT 设备执行 scene-first 的晨起编排，而不是重做底层控制。
As a process D 48/100 · 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: 4. 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 48/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 181 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1719 tokens
- low 15 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
- +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 2 example trigger phrases
- +3Description length 175: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 181 items
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: suspicious
This skill is mostly a coherent Xiaodu wake-up routine, but it grants real smart-home control and persistent household preference storage while its defaults for media, weather, reminders, and music are internally inconsistent.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026