Skillsets on the Chain: A Blockchain-based Zero-Trust Framework for Agentic AI Networking

arXiv:2608.00104 · cs.CR, cs.AI, cs.NI · Submitted 2026-07-31 · Read on arXiv

Yayu Gao, Yong Xiao, Hao Hu, Xubo Li, Zhiwei Liu, Yingyu Li, Guangming Shi, Ping Zhang

cs.CR, cs.AI, cs.NI

Submitted: 2026-07-31

Comments: Accepted at IEEE Transactions on Cognitive Communications and Networking

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 56× in this paper · explained in 2 episodes
• Consistency — 23× in this paper · explained in 3 episodes
• Agentic AI — 20× in this paper · explained in 1 episode
• Multi-agent Collaboration — 18× in this paper · explained in 2 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Aggregation — 9× in this paper · explained in 1 episode
• Core — 9× in this paper · explained in 2 episodes
• Decoupling — 7× in this paper · explained in 2 episodes
• Agent Skills — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Objective Function — 5× in this paper · explained in 2 episodes
• AI Agents — 4× in this paper · explained in 2 episodes
• Chain of Skillsets — 4× in this paper
• Federated Learning — 4× in this paper · explained in 14 episodes
• Agentic AI systems — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Chains of Collaboration — 3× in this paper
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Mixture of Experts — 3× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Computational overhead — 2× in this paper · explained in 2 episodes
• Decentralized Learning — 2× in this paper · explained in 2 episodes
• Multi-Agent System — 2× in this paper · explained in 6 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptivity — 1× in this paper · explained in 1 episode
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Adversarial Prompting — 1× in this paper · explained in 1 episode
• Agent Interactions — 1× in this paper · explained in 1 episode
• AgentAuditor — 1× in this paper · explained in 1 episode
• Aggregation Smart Contract — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Mixture of Experts (MoE) — 1× in this paper · explained in 5 episodes
• Non-IID Data — 1× in this paper · explained in 2 episodes
• Radio Access Network — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
• Behavioral Integrity Verification for AI Agent Skills
• Agent AI: Surveying the Horizons of Multimodal Interaction
• AI Agent Governance: A Field Guide
• Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw
• Towards Secure Agent Skills: Architecture, Threat Taxonomy, and Security Analysis
• "Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild
• SkillAttack: Automated Red Teaming of Agent Skills through Attack Path Refinement
• When MoE Meets Blockchain: A Trustworthy Distributed Framework of Large Models

Related papers

• SoK: AI-Augmented Binary Reversing
• Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
• Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
• Efficient Fuzzy PSI under One-Sided Assumptions
• Sealing the Audit-Runtime Gap for LLM Skills
• Token Composition: A Graph Based on EVM Logs