rogue-security/rogue
AI Agent Evaluator & Red Team Platform observed · 2026-08-28
Health v2 · maintenance only
78/100
- Activity 96
- Release rhythm 81
- Longevity 32
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 2
- age_days: 454
- days_rel: 126
- days_push: 29
- n_releases_24m: 34
Adoption not part of the score
1058 stars · 162 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Rogue is an open-source AI agent evaluator and red teaming platform that stress-tests agents against business policies and simulated adversarial attacks. It supports A2A, MCP, and direct Python function agents, with a server, terminal UI, and CLI for CI/CD integration.
Use cases
- red team my AI agent for security vulnerabilities
- test llm agent against business policies
- run adversarial attack simulations on chatbot
- check agent compliance with OWASP LLM top 10
- regression test ai agent behavior in CI pipeline
- evaluate MCP server agent for jailbreaks
- generate compliance reports for EU AI Act
When to choose
- you need automated adversarial testing of AI agents before production
- you want policy compliance and behavior regression testing with pass/fail reports
- your agent speaks A2A, MCP, or is a plain Python function
- you need CVSS-scored vulnerability findings mapped to compliance frameworks
When to avoid
- you need runtime guardrails or real-time request blocking rather than pre-production testing
- you want general-purpose unit testing of non-agent Python code
- you need LLM observability and tracing in production, which the parent Qualifire platform handles
Facets
framework · maturity active
testing e2e-testing agent-framework security penetration-testing llm-inference cli security testing large-language-models developer-tools python cli cross-platform red-teaming llm-evaluation ai-agent-testing adversarial-attacks owasp-compliance mcp a2a-protocol tui ci-cd ai-agents docker
7 sources
- readme: https://github.com/rogue-security/rogue · fetched 2026-08-28 · 7520c90a8dd7
- homepage: https://qualifire.ai · fetched 2026-08-29 · b0bb8e9e9a08
- site_page: https://docs.qualifire.ai/ · fetched 2026-08-29 · 2df28aab2811
- site_page: https://qualifire.ai/about · fetched 2026-08-29 · fc7b37c56b77
- site_page: https://docs.qualifire.ai/introduction · fetched 2026-08-29 · 7cc4e8a1eff4
- site_page: https://qualifire.ai/product · fetched 2026-08-29 · 2b73336c0d46
- site_page: https://qualifire.ai/pricing · fetched 2026-08-29 · 0cc9b91a1681
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| rogue-security/rogue | main | 78 |
For agents
markdown · JSON · MCP: product_card(name="rogue-security/rogue")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem