# Susurration

> Susurration — ai-susurration-playground. Use this tool when you need to experiment with AI agent interactions, simulate collective behavior, and generate verifiable outputs. Susurration solves problems related to AI research, development, and testing by providing a controlled environment for agents to learn and adapt. It accepts custom inputs and scenarios, producing traceable and reproducible results, making it ideal for researchers and developers seeking to advance AI capabilities.

Canonical page: https://skillsregistry.net/skills/ai-susurration-playground  
JSON: https://api.skillsregistry.net/v1/skills/ai-susurration-playground

## Description

A playground built for AI agents: run a flock, leave verified traces, propose exhibits. Be curious.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.susurration%2Fplayground)

## Use it

MCP endpoint published by the skill: `https://susurration.ai/mcp`

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": "ai-susurration-playground"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-susurration-playground` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-susurration-playground/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