# micro-actinf

> micro-actinf — naderloocodelab-micro-actinf. Use this tool when you need to optimize AI agent decision-making with ultra-fast active inference and Bayesian cognitive governance. It solves problems of slow decision-making and high computational overhead in embedded systems and AI agents, providing O(1) performance with minimal memory allocation. Ideal for use cases requiring rapid and efficient cognitive processing, such as autonomous systems and real-time control applications.

Canonical page: https://skillsregistry.net/skills/naderloocodelab-micro-actinf  
JSON: https://api.skillsregistry.net/v1/skills/naderloocodelab-micro-actinf

## Description

⚡ Ultra-fast O(1) Active Inference & Bayesian Cognitive Governor for AI Agents (Antigravity, Claude, Cursor) & Embedded Systems. Zero-alloc C11 core (<36KB) + FastMCP server.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/naderloocodelab/micro-actinf)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "naderloocodelab-micro-actinf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/naderloocodelab-micro-actinf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/naderloocodelab-micro-actinf/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt