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HKUST-KnowComp/E-LEDGER-WorldAbduct
HKUST-KnowComp/E-LEDGER-WorldAbduct: Large language model agents can invoke tools fluently, but enterprise workflows demand more than selecting the right tools: actions must strictly comply with organizational policies, tool feedback often conceals hidden side effects under partial observability, and long-horizon...
AgentScore
11.50.00
+0.00 vs 24h ago
Adoption0.0
Quality50.0
Momentum—
Community5.0
Unrated pillars contribute zero
CapabilitiesCode GenerationTool Use
DeploymentIde Plugin
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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