SkillSandbox: Skill Verification via Dynamic Scenario Synthesis
cs.AI, cs.CL
Submitted: 2026-10-07
Updated: 2026-10-07
Terminology
Sources
- A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
- Safe and Scalable Web Agent Learning via Recreated Websites
- SkillCAT: Contrastive, Assessment-Augmented and Topology-AwareSkill Self-Evolution for LLM Agents
- Agent Skills Can Be Harmful: An Empirical Study of Skill-Induced Failures in LLM Agents
- SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement
- GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
- SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
- SkillGen: Verified Inference-Time Agent Skill Synthesis
- Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
- SkillOS: Learning Skill Curation for Self-Evolving Agents
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Inducing Programmatic Skills for Agentic Tasks
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
- ReAct: Synergizing Reasoning and Acting in Language Models
- EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
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