Author

Changxuan Fan

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#artificial intelligence Review Oct 2026

SkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown

Executable Agent Skills combine natural-language instructions and scripts into reusable packages for LLM agents, and revising them requires fixing errors without breaking correct behavior. Existing benchmarks do not systematically distinguish documentation repair, script repair, and preservation when evaluating skill s...

Yuxuan Liu, Hao-Ran Li, Yu-Hao Zhang et al. · 0 citations

Review Jul 2026

Isolation as a First-Class Principle for LLM-Agent System Safety: Concepts, Taxonomy, Challenges and Future Directions

This survey treats isolation as a first-class principle for LLM-agent system safety, and organizes the literature with a boundary-centric taxonomy of five boundaries: user-agent, agent-tool, agent-execution, agent-agent, and system-environment.

Huihao Jing, Wenbin Hu, Shaojin Chen et al. · arXiv.org · 0 citations

Jul 2026

RLPF: Reinforcement Learning from Performance Feedback for Code Generation

This work proposes RLPF, reinforcement learning from performance feedback, which turns execution outcomes into a staged reward, and suggests that code agents can be trained not only to pass tests, but also to optimize the programs they write.

Huihao Jing, Hao-Zhe Cui, Wenbin Hu et al. · arXiv.org · 0 citations