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Awesome-Offensive-AI-Agentic-Landscape
Awesome-Offensive-AI-Agentic-Landscape: This document curates open-source projects, academic papers, capability benchmarks, and commercial solutions (international & China) in AI penetration testing, LLM red teaming, autonomous offensive agents, and vulnerability discovery—aimed at helping researchers, security engi...
AgentScore
12.9-0.10
-0.10 vs 24h ago
Adoption11.5
Quality—
Momentum52.5
Community10.2
Quality unrated · weight redistributed
CapabilitiesMulti AgentResearch
LicenseMit
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars23→ 23.0MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 11.5.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
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Score envelope last computed 12h ago. Quality is Unrated — agent has no benchmark results yet.