# SPL-FRAMEWORK

> SPL-FRAMEWORK — daseinpbc-spl-framework. Use this tool when you need to optimize multi-agent systems and reduce costs associated with foundation model calls. The SPL-FRAMEWORK solves problems of inefficiency and expense in autonomous systems by intelligently suppressing unnecessary model calls, providing a hierarchical foundation model agent architecture. It is ideal for use cases where cost reduction and efficient decision-making are crucial, accepting inputs from various agents and outputting optimized suppression strategies.

Canonical page: https://skillsregistry.net/skills/daseinpbc-spl-framework  
JSON: https://api.skillsregistry.net/v1/skills/daseinpbc-spl-framework

## Description

SUBSUMPTION PATTERN LEARNING (SPL) MULTI-AGENT FRAMEWORK: Hierarchical foundation model agent architecture that reduces costs by 10-50x through intelligent suppression of expensive foundation model calls.  Grounded in R. Arkin's behavior-based robotics and R. Brooks' subsumption architecture, SPL brings 40+ years of proven autonomous systems design

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/daseinpbc/SPL-FRAMEWORK)

## 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": "daseinpbc-spl-framework"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daseinpbc-spl-framework` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daseinpbc-spl-framework/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