Your AI Agent Needs a Tool Inventory Before It Needs More Policy
Start by naming what the agent can reach and change.
Operational security guidance for teams giving AI agents reusable skills, memory, files, retrieval, browser access, or workflow actions. This is the security authority lane inside the VibeSec Advisory field guide.
AI Agent Skills Governance is the practice of inventorying reusable AI agent skills, defining what each skill can read, write, or call, blocking unsafe inputs, requiring approval for risky actions, and logging exceptions before the skill is allowed to run in real work.
Use the tool inventoryIf the agent can read untrusted content or act in a business system, treat the workflow like a boundary crossing, not a productivity shortcut.
Start by naming what the agent can reach and change.
Separate read-only help from actions that need a human gate.
Use this when remote MCP access needs explicit consent, scopes, token audience, and tool-group review.
Use this before a local MCP server becomes a subprocess in an agent environment.
Use this when durable memory can steer later tool use, approvals, or security decisions.
Use this when tool output needs source, schema, freshness, and allowed-influence rules.
Use this before a workflow grants MCP servers, browser sessions, API tokens, or write tools to an agent.
Use this when agents need capabilities without exposing raw secrets in prompts, logs, traces, or memory.
Use this to turn likely failure modes into permissions, approvals, denied tools, sandbox settings, and tests.
Use this when multi-agent work needs a clear owner, evidence packet, artifact version, authority boundary, and skipped-check list.
A safe pattern for approved sources and sensitive escalation.
Keeps commitments and risks separated before implementation starts.
Scopes data, environments, success criteria, and technical risk before POC work starts.