No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by KeyValueSoftwareSystems · MCP Server · ★ 572
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-opfor safe to install? View the security audit →
Open-source adversary emulation for AI agents, LLM apps, and MCP servers. Test your AI like a real attacker would — from your CLI, your IDE, or a browser extension that anyone on your team can use. Website · Docs ·
| Stars | 572 |
| Forks | 26 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 69.2002489779998/100 |
| Open Issues | 34 |
| Last Updated | 2026-08-13 |
| Created | 2026-04-06 |
| Platforms | browser, cli, mcp, node |
| Est. Tokens | ~17k |
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agent-opfor is Open-source adversary emulation for AI agents and MCP servers.. It is categorized as a MCP Server with 572 GitHub stars.
agent-opfor is primarily written in TypeScript. It covers topics such as adversary-emulation, agentic-ai, ai-agents.
You can find installation instructions and usage details in the agent-opfor GitHub repository at github.com/KeyValueSoftwareSystems/agent-opfor. The project has 572 stars and 26 forks, indicating an active community.
The top alternatives to agent-opfor on Agent Skills Hub include agentic-radar, numasec, agentseal. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: