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  1. Home
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  3. SkillsBench: Benchmarking How Well Agent Skills Work Across
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SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

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0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 8

References: 40

Proof: fail

Distribution: unknown

Source paper: SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

PDF: https://arxiv.org/pdf/2602.12670v1

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-19T21:31:49.672812+00:00

Starting…

Dimensions overall score 8.0

GitHub Code Pulse

No public code linked for this paper yet.

Key claims

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EvoSkill: Automated Skill Discovery for Multi-Agent Systems
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EvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification
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ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents
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SKILLS: Structured Knowledge Injection for LLM-Driven Telecommunications Operations
Score 7.0down
Prior Work
Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
Score 8.0stable
Competing Approach
LiveAgentBench: Comprehensive Benchmarking of Agentic Systems Across 104 Real-World Challenges
Score 5.0down

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