SWARM — Multi-Agent Safety Simulation

Name: SWARM — Multi-Agent Safety Simulation
Rating: 85 (1 reviews)
Author: swarm-ai-safety

Trust Score 85/100

Research framework for simulating multi-agent systems to assess emergent risks, governance levers, and soft probabilistic metrics (toxicity, quality gap).

triggers:swarmmulti-agentsimulationai-safetycollusiongovernance

SWARM Safety Skill

SWARM is a research and simulation framework for studying emergent risks in multi-agent AI systems. It focuses on soft (probabilistic) labels rather than binary judgments and provides agents, scenarios, metrics, and governance mechanisms to explore behaviors like collusion, deception, and policy interventions.

What it helps with

Running local simulations of heterogeneous agent populations (honest, opportunistic, deceptive, adversarial, LLM-driven)
Measuring soft metrics: toxicity rate, quality gap, conditional loss, incoherence
Experimenting with governance levers: transaction taxes, reputation decay, circuit breakers, audits, staking, collusion detection
Exporting results for analysis (JSON/CSV) and running reproducible scenarios

Example usage

Install via pip (swarm-safety) or run from source
Use provided CLI to list and run scenarios, or the Python API to programmatically configure orchestration and agents
Start a local API for experiment management (binds to localhost by default)

Security notes

The API binds to 127.0.0.1 by default; do not expose to untrusted networks without adding authentication and proper DB/infra. Do not include real API keys or PII in scenarios.

Audit Summary

SWARM is a research framework for simulating multi-agent AI systems to study emergent risks. The SKILL.md is well-structured with clear install instructions, Python/CLI/API quick-starts, and comprehensive concept documentation. No bundled scripts to test. Security posture is strong: API binds to localhost only, CORS restricted, explicit warnings about not exposing the dev API. Minor deduction for no auth on the development API by default.

Watch Out

Development API has no authentication — do not expose to untrusted networks
Requires pip install of swarm-safety package to actually use
API extras require 'pip install swarm-safety[api]'

Notes

Solid research tool with good documentation. Security practices are above average for a research framework. Niche audience but genuinely useful for AI safety researchers.

Information

Repository: swarm-ai-safety
Installs: 0

Trust Score

Overall85

Security95

Code Quality78

Architecture72

Usefulness55

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