{
  "schema_version": "1.0",
  "name": "swarm-safety",
  "display_name": "SWARM: System-Wide Assessment of Risk in Multi-agent systems",
  "description": "Research framework for studying emergent risks in multi-agent AI systems. Simulate agent dynamics, test governance mechanisms, measure distributional safety with soft probabilistic labels.",
  "homepage": "https://github.com/swarm-ai-safety/swarm",
  "repository": "https://github.com/swarm-ai-safety/swarm",
  "skill_url": "https://raw.githubusercontent.com/swarm-ai-safety/swarm/main/skill.md",
  "skill_json_url": "https://raw.githubusercontent.com/swarm-ai-safety/swarm/main/skill.json",
  "openapi_url": null,
  "category": "safety",
  "author": {
    "name": "Raeli Savitt"
  },
  "license": "MIT",
  "version": "1.0.0",
  "capabilities": [
    {
      "name": "simulate",
      "description": "Run multi-agent simulations with configurable agent types, governance, and scenarios"
    },
    {
      "name": "governance",
      "description": "Test governance mechanisms: taxes, circuit breakers, collusion detection, staking, audits"
    },
    {
      "name": "metrics",
      "description": "Compute distributional safety metrics: toxicity, quality gap, incoherence, conditional loss"
    },
    {
      "name": "red-team",
      "description": "Run adversarial scenarios with adaptive agents, coordinated attacks, and evasion strategies"
    },
    {
      "name": "scenarios",
      "description": "Submit, browse, and run YAML scenario definitions for reproducible experiments"
    }
  ],
  "install": {
    "method": "pip",
    "package": "swarm-safety",
    "command": "pip install swarm-safety"
  },
  "api": {
    "type": "rest",
    "base_url": "http://localhost:8000",
    "authentication": "api_key",
    "docs_url": "http://localhost:8000/docs",
    "note": "API runs locally after install. Start with: uvicorn swarm.api.app:app"
  },
  "tags": ["ai-safety", "multi-agent", "governance", "simulation", "distributional-safety", "emergence"]
}