iot-control

iot-control is a skill for Claude Code, Codex from omnigentx/jarvis. It costs 48 tokens per session (962 once invoked), scanned A, original, MIT.

A control skill for Roborock robot vacuums connected to a smart-home account. It can check the robot, start or stop cleaning, and manage its location and settings.

In plain words
What is it for?
Starting, pausing, or stopping cleaning; sending the robot to its dock; finding it by sound; checking battery, status, consumables, rooms, and cleaning maps; cleaning a specific room; and changing suction power.
Why use it?
It removes the need to open the vacuum’s app for routine commands or status checks. It also handles Roborock’s two-factor sign-in through Gmail.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Starting, pausing, or stopping cleaning; sending the robot to its dock; finding it by sound; checking battery, status, consumables, rooms, and cleaning maps; cleaning a specific room; and changing suction power.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/omnigentx/jarvis/iot-control
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add omnigentx/jarvis --skill iot-control
Clone the repo
git clone --depth 1 https://github.com/omnigentx/jarvis

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for iot-control

README.md
[![agentmods](https://agentmods.dev/badge/skills/omnigentx/jarvis/iot-control.svg)](https://agentmods.dev/skills/omnigentx/jarvis/iot-control)
Your own site
<a href="https://agentmods.dev/skills/omnigentx/jarvis/iot-control"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/iot-control.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 962 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 65
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00962
Opus 5 $0.00024 $0.00481
Sonnet 5 $0.00010 $0.00192
Haiku 4.5 $0.00005 $0.00096

Measured 7d ago against content hash f23cc39809d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

iot-control scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

backend/.fast-agent/skills/iot-control/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ROBOT VACUUM CONTROL (ROBOROCK)

Available Tools (exact MCP names)

Intent Tool
List all devices on account list_devices()
Status / battery / online check get_robot_status(device_name=None)
Consumable wear (brush, filter, dustbin) get_consumable_status(device_name=None)
Start cleaning start_cleaning(device_name=None)
Stop / pause stop_cleaning(device_name=None)
Send back to dock return_to_dock(device_name=None)
Find robot (beep) find_robot(device_name=None)
List rooms on map get_room_mapping(device_name=None)
Clean specific room clean_specific_room(room_id, device_name=None)
Set suction power set_fan_speed(speed, device_name=None) — speed ∈ {quiet, balanced, turbo, max}
Wait before re-checking status wait_for_seconds(seconds=5)

device_name is optional — omit to target the first / only device.

Decision tree

User intent → tool:

  • Status / location / battery → get_robot_status()
  • Start cleaning / vacuum → start_cleaning()
  • Stop / pause → stop_cleaning()
  • Return to dock → return_to_dock()
  • Locate / make a sound → find_robot()
  • Clean a specific room → get_room_mapping()clean_specific_room(id)

For a PURE STATUS question, call get_robot_status() directly and return the result.

<2fa_flow> When any Roborock tool returns an AUTHENTICATION_REQUIRED error:

  1. Call request_roborock_code() — system sends a code to the Roborock account email.
  2. Call gmail_search(query="from:roborock.com newer_than:1h in:anywhere", max_results=5).
    • Substring match on roborock.com catches every subdomain ([email protected], [email protected], etc.) — do NOT hard-code the full sender address.
    • in:anywhere covers Spam/Promotions in case Gmail mis-classifies the OTP email.
    • If still empty, retry once with newer_than:6h.
  3. Call gmail_read_thread(thread_id) on the most recent hit.
  4. Extract the numeric OTP from the email body.
  5. Call submit_roborock_code(code=<otp>).
  6. Retry the original command.

Read the full file on GitHub · 81 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 81 lines · 48 tokens per session scan A f23cc39809d5

Subscribe to this mod's changes

iot-control is a skill published in the GitHub repository omnigentx/jarvis (36 stars, last pushed 11d ago), licensed MIT. It adds 48 tokens to every session and 962 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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