device_discovery

device_discovery is a skill for Claude Code, Codex from Fullive-AI/Anima. It costs 32 tokens per session (177 once invoked), scanned A, original, Apache-2.0.

A device-discovery workflow for finding devices on a local network or starting Xiaomi and Mi Home account setup with a QR code. A local network is the nearby Wi-Fi or wired network that devices share.

In plain words
What is it for?
It is for refreshing the local device inventory and onboarding Xiaomi or Mi Home devices through a QR flow.
Why use it?
It helps choose between a quick network scan and an account-linked Xiaomi setup, depending on whether user interaction is needed.

Skill for Claude CodeCodex

About the project

Anima is an open-source local-network runtime that gives household hardware an AI layer for sensing environments, remembering preferences, planning actions, and controlling devices through adapters. It is intended for intelligent devices such as lights, air conditioners, humidifiers, air purifiers, and speakers, with a dashboard, REST API, and CLI for control and extension. The catalogue entries are skills, rules, and instructions for working with Anima.

Fullive-AI/Anima · 1,049 stars · on GitHub

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.

agentmods
npx agentmods add skills/fullive-ai/anima/device_discovery
Any agent
npx skills add Fullive-AI/Anima --skill device_discovery
Clone the repo
git clone --depth 1 https://github.com/Fullive-AI/Anima

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 device_discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/fullive-ai/anima/device_discovery.svg)](https://agentmods.dev/skills/fullive-ai/anima/device_discovery)
Your own site
<a href="https://agentmods.dev/skills/fullive-ai/anima/device_discovery"><img src="https://agentmods.dev/badge/skills/fullive-ai/anima/device_discovery.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 177 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00032 $0.00177
Opus 5 $0.00016 $0.00088
Sonnet 5 $0.00006 $0.00035
Haiku 4.5 $0.00003 $0.00018

Measured 5d ago against content hash f313eb1afc9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

device_discovery 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/actions.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/system/device_discovery/SKILL.md · 25 lines

What it actually says

Device Discovery

Use this skill for discovery-oriented chat tasks and Xiaomi onboarding flows.

Load These Resources

  • references/knowledge.md for choosing between local scan and Xiaomi QR onboarding.
  • references/chat.md when planning the next discovery action from user chat.
  • scripts/actions.py for executing the chosen scan or onboarding flow.

Working Rules

  • Use Xiaomi QR onboarding when the user needs full Xiaomi or Mi Home account-linked discovery.
  • Use local scan for a quick LAN refresh that does not require user interaction.
  • Keep replies operational and explicit about the next action.
Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 25 lines · 32 tokens per session scan A f313eb1afc9d

Subscribe to this mod's changes

device_discovery is a skill published in the GitHub repository Fullive-AI/Anima (1,049 stars, last pushed 15d ago), licensed Apache-2.0. It adds 32 tokens to every session and 177 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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