chAng-L19/codex-redteam-mode

Health v2 · maintenance only

Flags: young

Adoption not part of the score

1016 stars · 134 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An opt-in red-team mode plugin for OpenAI Codex App and Codex CLI that compiles offensive-security objectives into GoalContracts and executes durable, evidence-verified workflow graphs via MCP tools. It includes jailbreak-style system prompt compositions and a TerminalJudge that only completes tasks after all criteria are proven.

Use cases

• run red-team penetration testing workflows with Codex
• make long-running AI security tasks survive session interruptions
• verify AI agent task completion with evidence instead of tool success flags
• adapt a red-team runtime to other AI agents
• compose jailbreak system prompts for Codex models
• orchestrate security tools through MCP in a durable pipeline

When to choose

• you use Codex App or Codex CLI for authorized red-team engagements and need durable, verifiable multi-step workflows
• you want typed workflow graphs with evidence preservation and terminal judgment for offensive security tasks
• you need a red-team mode you can adapt to other agent frameworks

When to avoid

• you need a general-purpose pentest toolkit rather than an agent-mode overlay for Codex
• your use case involves unauthorized access - the project explicitly disclaims responsibility for account bans and misuse
• you require a mature, widely audited security tool; this is a niche community project with QQ-group support

Facets

plugin · maturity active

penetration-testing agent-framework mcp prompt-engineering security workflow-automation penetration-testing security artificial-intelligence developer-tools python cli cross-platform red-team jailbreak codex goal-contract durable-runtime offensive-security ai-hacking ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="chAng-L19/codex-redteam-mode")