Agent frameworks expose operators and users to supply-chain attacks because third-party plugins and skills execute inside the agent's trusted decision-making layer with no isolation, verification, or runtime auditing. A malicious or compromised component can take destructive actions—such as draining wallets—while all observable metrics report normal operation. No standard sandboxing or skill-verification layer exists across major agent frameworks, leaving every operator to roll their own or remain exposed.

Third-party agent plugins execute with full trust and zero isolation, exposing operators to supply-chain attacks where a single malicious skill can drain wallets or exfiltrate data while metrics look normal.

AI agent framework operators and enterprises deploying multi-skill agents (CrewAI, AutoGen, LangGraph users) who integrate third-party or community-built tools.

Container security (Snyk, Wiz) proved enterprises pay heavily for supply-chain trust layers once the ecosystem matures past early adopters; agent skill marketplaces are hitting that inflection now and every framework team is rolling their own incomplete sandbox.

MVP is a lightweight WASM/gVisor runtime shim that intercepts agent-to-skill calls, enforces capability policies (network, filesystem, wallet signing), logs all actions to an immutable audit trail, and provides a CLI/SDK for the top 3 frameworks — ship in 6-8 weeks.

Agent tooling infrastructure is a subset of the ~$50B cloud security market; the agent-specific skill-trust layer alone is a $2-5B opportunity as enterprise agent adoption scales.