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Simulate adversarial attacks to test AI agents and MCP server security.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-opfor" yet — see the docs or source repo.
Use agent-opfor to generate prompt injection and privilege escalation attack cases for my AI support agent. Classify them by high, medium, and low risk, and explain the expected impact and detection points for each case.
A graded set of attack cases with attack prompts, risk notes, and detection checkpoints.
Using agent-opfor, create a red-team test plan for my MCP server covering unauthorized tool calls, data leakage, permission bypass, and malicious input handling. Output the test steps and success criteria.
A structured red-team test plan listing scenarios, steps, risks, and acceptance criteria.
Based on my existing AI agent workflow, use agent-opfor to generate a repeatable adversarial test suite covering tool misuse, instruction confusion, sensitive data extraction, and multi-turn attacks, suitable for CI integration.
An automation-ready security test suite for regression checks in continuous integration.
Give MCP-compatible AI agents persistent memory, goal tracking, and background monitoring.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Test API compatibility for AI agents with scores, grades, and recommendations.
Run deterministic agent orchestration with task decomposition, subagents, and review feedback.
Give coding agents memory, validation, and feedback across sessions.
Automatically turns CLI tools into MCP agents with persona-based AI configuration.