SKILLEMALL.ai

BD VacuumControl

教 OpenClaw 如何安装、配置和使用 roborock-cli(石头扫地机 CLI 控制工具)。 涵盖:uv 安装、认证流程、15 个 CLI 命令的使用、设备控制、错误诊断与恢复。 当用户提到"扫地机"、"roborock"、"扫地"、"拖地"、"清洁机器人"、"回充"、"集尘"、 "洗拖布"、"勿扰模式"、"roborock-cli"、"石头扫地机"、"扫地机器人"时触发本 skill。 也适用于用户想编写扫地机自动化脚本、定时清洁、集成 roborock-cli 到其他系统的场景。

ClawHub Agent Skills author: jru001 v1.3.0 MIT-0 3 files body ≈ 1 434 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
90
Quality 40%
76
Run on models
none yet
Process rating
D
41/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:45
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -LsSf https://astral.sh/uv/install.sh | sh
  • medium Dangerous commands cmd-execpolicy-bypass SKILL.md:50
    Runs PowerShell with execution policy bypassed
    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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 (VacuumControl) differs from the folder (roborock-2014)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 1434 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 2 example trigger phrases
  • +3Description length 249: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (23 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a coherent guide for installing and using a Roborock vacuum CLI, with expected account and device-control risks that are mostly disclosed.
LLM: benign (high) · VirusTotal: · 29 May 2026