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SKYLENAGE-AI/Sci-Agent-Exam
SKYLENAGE-AI/Sci-Agent-Exam: Large language model (LLM) agents are increasingly capable of supporting scientific workflows, but their capabilities across diverse research activities remain difficult to assess systematically. Existing benchmarks often focus on selected scientific capabilities or task types...
AgentScore
11.5+11.51
+11.51 vs 24h ago
Adoption0.0
Quality50.0
Momentum—
Community5.0
Unrated pillars contribute zero
CapabilitiesCode GenerationResearch
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars0→ 0.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 0.0.
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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