agent-bom discover awsv0.83.3

An operator runs this skill to inventory all AWS Bedrock agents, ECS tasks, SageMaker endpoints, Lambda functions, EKS pods, Step Functions, and EC2 instances that may host AI agents. The resulting JSON is used to assess compliance and manage agent sprawl.

Security teams use the skill to generate a canonical inventory of AWS-hosted AI agents and MCP assets without granting long-lived credentials. Inventory is scanned locally by agent-bom to identify vulnerabilities or policy violations.

A DevOps team adopts agent-bom standards and uses this skill to quickly inventory existing AWS workloads. They map each resource to canonical BOM entries and plan remediation for missing metadata.

A FinOps team runs the skill to identify all AI-related services in AWS accounts. They analyze the inventory to find idle or over-provisioned resources (e.g., SageMaker endpoints) and right-size them.

An enterprise with multiple AWS accounts uses short-lived STS credentials to invoke the skill per account. The generated inventories are aggregated centrally to maintain a global view of agentic assets.

Offer agent-bom as a subscription service for continuous inventory and scanning of AI agents. Revenue comes from monthly fees based on agent count or account volume.

Consulting firms use this skill to perform a one-time discovery of a client's AI asset inventory, delivering a report with findings. Revenue is project-based.

Cloud management platforms integrate this skill as a module for automated agent discovery. Revenue is generated through platform licensing or usage credits.