# panll

> panll — hyperpolymath-panll. Use this tool when you need to develop and refine neurosymbolic models with a user-friendly interface, solving problems of human-machine collaboration and cognitive overload. It provides a four-pane environment with features like friction monitoring and neural output gating, accepting code inputs and producing verified symbolic outputs. Ideal for use cases requiring seamless integration of human and machine intelligence, such as complex software development and AI model refinement.

Canonical page: https://skillsregistry.net/skills/hyperpolymath-panll  
JSON: https://api.skillsregistry.net/v1/skills/hyperpolymath-panll

## Description

A four-pane neurosymbolic development environment (eNSAID) designed as a cognitive-relief layer for human-machine co-orbit. Built on AffineScript (TEA architecture) and Ephapax (Gossamer webview), with friction monitoring (Vexometer), neural output gating (Anti-Crash); planned TypeLL (type) and ECHIDNA (proof) verification for the symbolic layer.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/hyperpolymath/panll)

## 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": "hyperpolymath-panll"
    }
  }
}
```

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