An Empirical Study of Agent Skills' Downstream Utility
cs.AI, cs.LG
Submitted: 2026-10-06
Updated: 2026-10-08
Code: https://github.com/openai/codex
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- An Empirical Study of Downstream Adaptation for Agent Skills
- From Anatomy to Smells: An Empirical Study of SKILL.md in Agent Skills
- Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
- Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality
- SkillNet: Create, Evaluate, and Connect AI Skills
- Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
- From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
- Skill Retrieval Augmentation for Agentic AI
- Skill-Use: Can LLMs Actually Use Skills in Agentic Harnesses?
- SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses
- Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
- GraSP: Graph-Structured Skill Compositions for LLM Agents
- From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Inducing Programmatic Skills for Agentic Tasks
- SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents
- SkillRouter: Skill Routing for LLM Agents at Scale
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems