[2603.00195] Formal Analysis and Supply Chain Security for Agentic AI Skills
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Abstract page for arXiv paper 2603.00195: Formal Analysis and Supply Chain Security for Agentic AI Skills
Computer Science > Cryptography and Security arXiv:2603.00195 (cs) [Submitted on 27 Feb 2026] Title:Formal Analysis and Supply Chain Security for Agentic AI Skills Authors:Varun Pratap Bhardwaj View a PDF of the paper titled Formal Analysis and Supply Chain Security for Agentic AI Skills, by Varun Pratap Bhardwaj View PDF HTML (experimental) Abstract:The rapid proliferation of agentic AI skill ecosystems -- exemplified by OpenClaw (228,000 GitHub stars) and Anthropic Agent Skills (75,600 stars) -- has introduced a critical supply chain attack surface. The ClawHavoc campaign (January-February 2026) infiltrated over 1,200 malicious skills into the OpenClaw marketplace, while MalTool catalogued 6,487 malicious tools that evade conventional detection. In response, twelve reactive security tools emerged, yet all rely on heuristic methods that provide no formal guarantees. We present SkillFortify, the first formal analysis framework for agent skill supply chains, with six contributions: (1) the DY-Skill attacker model, a Dolev-Yao adaptation to the five-phase skill lifecycle with a maximality proof; (2) a sound static analysis framework grounded in abstract interpretation; (3) capability-based sandboxing with a confinement proof; (4) an Agent Dependency Graph with SAT-based resolution and lockfile semantics; (5) a trust score algebra with formal monotonicity; and (6) SkillFortifyBench, a 540-skill benchmark. SkillFortify achieves 96.95% F1 (95% CI: [95.1%, 98.4%]) with 100% prec...