Ross ROSS = Recommend OSS · open-source software intelligence for agents

rogue-security/rogue

Some data may be outdated — see provenance labels.

AI Agent Evaluator & Red Team Platform observed · 2026-09-27

github.com/rogue-security/rogue · homepage · Python · NOASSERTION (other) observed · 2026-09-27

Health v2 · maintenance only

72/100

  • Activity 88
  • Release rhythm 74
  • Longevity 35

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 2
  • age_days: 502
  • days_rel: 174
  • days_push: 77
  • n_releases_24m: 34

Full methodology

Adoption not part of the score

1064 stars · 162 forks observed · 2026-09-27

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

Member repositories

RepositoryRoleHealth v2
rogue-security/roguemain72

For agents

markdown · JSON · MCP: product_card(name="rogue-security/rogue")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem