[2603.00195] Formal Analysis and Supply Chain Security for Agentic AI Skills

[2603.00195] Formal Analysis and Supply Chain Security for Agentic AI Skills

arXiv - AI 4 min read

About this article

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...

Originally published on March 03, 2026. Curated by AI News.

Related Articles

[2506.20964] Evidence-based diagnostic reasoning with multi-agent copilot for human pathology
Llms

[2506.20964] Evidence-based diagnostic reasoning with multi-agent copilot for human pathology

Abstract page for arXiv paper 2506.20964: Evidence-based diagnostic reasoning with multi-agent copilot for human pathology

arXiv - AI · 4 min ·
[2601.08323] AtomMem : Learnable Dynamic Agentic Memory with Atomic Memory Operation
Ai Agents

[2601.08323] AtomMem : Learnable Dynamic Agentic Memory with Atomic Memory Operation

Abstract page for arXiv paper 2601.08323: AtomMem : Learnable Dynamic Agentic Memory with Atomic Memory Operation

arXiv - AI · 3 min ·
[2603.18349] Large-Scale Analysis of Persuasive Content on Moltbook
Llms

[2603.18349] Large-Scale Analysis of Persuasive Content on Moltbook

Abstract page for arXiv paper 2603.18349: Large-Scale Analysis of Persuasive Content on Moltbook

arXiv - AI · 3 min ·
[2511.19669] HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization
Ai Agents

[2511.19669] HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization

Abstract page for arXiv paper 2511.19669: HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization

arXiv - AI · 3 min ·
More in Ai Agents: This Week Guide Trending

No comments

No comments yet. Be the first to comment!

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime