arXiv:2607.01136v1 Announce Type: cross Abstract: Agent skills package reusable operational knowledge for Large Language Model (LLM) agents, yet as they grow in scope, they become dependency-bearing artifacts whose identities, versions, and provenance remain implicit. This opacity already causes duplicated dependencies and inconsistent installations, exposing a gap that dependency management has yet to close. We introduce Agent Skill Supply Chains (ASSCs) to characterize mixed skill-package-service dependency graphs and help close this gap. Borrowing from Software Bill of Materials (SBOMs), we
The rapid growth and complexity of AI agents necessitate formal mechanisms to manage their constituent skills, which are becoming critical supply chain elements.
Managing the dependencies and risks within AI agent skill supply chains is crucial for the reliability, security, and scalability of autonomous systems, impacting their commercial viability and societal integration.
The explicit recognition and formal management of 'Agent Skill Supply Chains' (ASSCs) will introduce new methodologies, standards (like SBOMs for skills), and tooling for developing and deploying AI agents.
- · AI agent developers
- · Security auditors
- · AI platform providers
- · Dependency management tool vendors
- · Developers with opaque, undocumented agent skills
- · Organizations relying on insecure agent architectures
- · Legacy dependency management solutions
Introduction of formal supply chain management practices for AI agent components.
Increased trust and accelerated adoption of complex AI agent systems across industries.
The emergence of new regulatory frameworks and compliance requirements specifically for AI agent supply chain transparency and security.
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