Agents executing delegated tasks via third-party skill marketplaces operate without signed skill verification, granular permission revocation, or tamper-evident decision logs, making it impossible for principals to audit what was done on their behalf. The discovery of credential-stealing payloads in distributed skill repositories confirms that the attack surface is real and that non-enterprise principals — the majority of users — have no red-team equivalent protecting them. A coordination layer providing verifiable provenance, scoped permissions, and auditable execution records is absent from current agent infrastructure.

When agents use third-party skills, principals have zero verifiable proof of what was executed, what permissions were granted, or whether skills were tampered with — credential-stealing payloads in skill repos prove this isn't theoretical.

Developers and small teams deploying AI agents with third-party plugins/skills who lack enterprise security teams but face real supply-chain risk.

Agent skill marketplaces (GPT Actions, CrewAI tools, LangChain hubs) are exploding but repeat the npm/PyPI supply-chain security nightmare — developers already pay for Snyk, Socket.dev, and Datadog in traditional stacks and will pay for the agent-native equivalent as liability shifts to them.

MVP is an open-source SDK that wraps skill invocations with cryptographic signing (skill hash + author attestation), scoped permission tokens with expiry/revocation, and append-only execution logs on a Merkle tree — ship as a middleware layer that plugs into LangChain, CrewAI, and OpenAI function-calling with a hosted dashboard for audit review.

Agent tooling/infra market projected at $5-10B by 2027; security and observability historically capture 10-15% of platform spend, suggesting a $500M-$1.5B addressable slice.