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.
Borrowing it
Nothing to install: this file belongs to Fullive-AI/Anima. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Fullive-AI/Anima/main/CLAUDE.mdgit clone --depth 1 https://github.com/Fullive-AI/AnimaWrote 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.
[](https://agentmods.dev/instructions/fullive-ai/anima/claude-md)<a href="https://agentmods.dev/instructions/fullive-ai/anima/claude-md"><img src="https://agentmods.dev/badge/instructions/fullive-ai/anima/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/fullive-ai/anima/claude-md"><img src="https://agentmods.dev/badge/instructions/fullive-ai/anima/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00285 | $0.00285 |
| Opus 5.5 | $0.00114 | $0.00114 |
| Sonnet 5.5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
Anima CLAUDE.md 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 1mo 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.
What it actually says
Anima — Make Every Hardware Intelligent
Quick Start
pnpm install cp .env.example .env # fill in ANIMA_LLM_API_KEY pnpm dev # starts MQTT broker + backend (port 8080) + frontend (port 3000) together
Or start individually:
pnpm dev:broker — MQTT broker (amqtt)
pnpm dev:backend — Python backend only (uv run python -m core.main)
pnpm dev:frontend — React dashboard only (port 3000)
Test
uv run pytest tests/ -v
Architecture
Thin Core (single asyncio process) + MQTT device layer. See docs/plans/2026-03-17-anima-design.md for full design.
Key Directories
- core/ — Core process (brain, events, rules, memory, scheduler, api)
- adapters/ — Device adapters (miot, virtual)
- skills/ — AI Skill packages (system: humidifier, air_conditioner, light, air_purifier, speaker, coordinator; custom: user-created)
- dashboard/ — React + Vite + Tailwind frontend (port 3000)
- data/ — Runtime data (memory, config) — persisted via Docker volume
- tests/ — Test suite (pytest + Playwright E2E)
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.
- 1mo ago First seen · 27 lines · 285 tokens per session scan A 23c15d358176
Anima CLAUDE.md is an instructions file published in the GitHub repository Fullive-AI/Anima (636 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 285 tokens to every session, about $0.0011 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.