# epica

> epica — angelnicolasc-epica. Use this tool when you need to integrate formal AGM belief revision and dual-process uncertainty quantification into LLM agents, enabling advanced reasoning and decision-making capabilities. It solves problems related to behavioral contracts, uncertainty, and knowledge revision, providing a robust framework for AI agents to manage complex information. With inputs including probabilistic and mnemonic data, epica outputs revised beliefs and contracts, ideal for applications requiring advanced cognitive architectures and uncertainty management.

Canonical page: https://skillsregistry.net/skills/angelnicolasc-epica  
JSON: https://api.skillsregistry.net/v1/skills/angelnicolasc-epica

## Description

Embeddable Rust runtime for formal AGM belief revision in LLM agents — dual-process uncertainty quantification, C=(P,I,G,R) behavioral contracts, 9 Mnemonic Sovereignty primitives, MCP 2026 native, PyO3 SDK.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/angelnicolasc/epica)

## 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": "angelnicolasc-epica"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/angelnicolasc-epica` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/angelnicolasc-epica/pull`

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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