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ZENODO
Preprint . 2026
Data sources: ZENODO
ZENODO
Preprint . 2026
Data sources: Datacite
ZENODO
Preprint . 2026
Data sources: Datacite
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SkillFortify: Formal Analysis and Supply Chain Security for Agentic AI Skills

Authors: Bhardwaj, Varun Pratap;

SkillFortify: Formal Analysis and Supply Chain Security for Agentic AI Skills

Abstract

SkillFortify is the first formal analysis framework for agent skill supply chain security. The ClawHavoc campaign (1,200+ malicious skills), CVE-2026-25253, and 6,487 malicious tools catalogued by MalTool demonstrate that the current "install and trust" paradigm for AI agent skills is untenable. While 12+ reactive scanning tools emerged in February 2026, all rely on heuristic methods with no formal guarantees. SkillFortify provides five formal contributions: (1) the DY-Skill attacker model adapting Dolev-Yao to agent supply chains, (2) sound static analysis via abstract interpretation over a capability lattice, (3) capability confinement with formal proof, (4) SAT-based dependency resolution with lockfile semantics, and (5) trust score algebra with formal monotonicity. Evaluated on SkillFortifyBench (540 skills), the framework achieves F1=96.95% with 100% precision and 0% false positive rate. Tool: pip install skillfortify | Code: https://github.com/varun369/skillfortify

Keywords

formal analysis, trust algebra, supply chain security, capability-based security, AI safety, abstract interpretation, Agent supply chain security, CycloneDX, ASBOM, agent skills

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average