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AI45Lab/PrivacyTrace
AI45Lab/PrivacyTrace: Large language model (LLM)-based agents interact with external tools through protocols such as the Model Context Protocol (MCP), producing tool-call traces that may expose behavioral signals about users. In this work, we systematically study the risk of user-profile inference...
AgentScore
18.00.00
+0.00 vs 24h ago
Adoption1.3
Quality50.0
Momentum60.0
Community5.0
Unrated pillars contribute zero
CapabilitiesCode GenerationTool Use
DeploymentMcp Server
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars1→ 5.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 1.3.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: 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 3d ago.