Integrations

agent-bom discover azure

Discover Azure-hosted AI agent and MCP-relevant assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived Azure credentials. Use when a user asks to inventory Azure OpenAI, Container Apps, AKS, Functions, ML, or agentic Azure infrastructure as canonical inventory.

What it does

The skill document

agent-bom-discover-azure

Use this skill to collect Azure AI and workload inventory as schema-valid agent-bom inventory. Default to discover-only: write JSON to an operator-selected path and stop.

Guardrails

Use only operator-approved Azure subscriptions and read-only identities.
Do not request or display raw AZURE_CLIENT_SECRET, access tokens, or connection strings.
Do not modify Azure resources. This workflow is discovery-only.
Write inventory only to a path the operator chose.
Treat AI-generated prose as non-authoritative; schema-validated inventory JSON is the evidence.

Workflow

python examples/operator_pull/azure_inventory_adapter.py \
  --subscription-id "$AZURE_SUBSCRIPTION_ID" \
  --source azure-skill-invoked \
  --discovery-method skill_invoked_pull \
  --output azure-inventory.json

Scan only when the operator asks for findings:

agent-bom scan --inventory azure-inventory.json --format json --output agent-bom-azure-findings.json

Evidence Contract

The emitted inventory carries discovery_provenance.source_type: skill_invoked_pull, observed_via: skill_invoked_pull, azure_sdk, sanitized metadata.permissions_used, and redacted credential material. If schema validation fails, stop and fix the inventory instead of scanning a best-effort summary.

Related skills

agent-bom discover gcp

Discover GCP-hosted AI agent and MCP-relevant assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived GCP credentials. Use when a user asks to inventory Vertex AI, Cloud Run, Cloud Functions, GKE, or agentic GCP infrastructure as canonical inventory.

38 installs

agent-bom discover aws

Discover AWS-hosted AI agent and MCP-relevant assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived cloud credentials. Use when a user asks to inventory AWS Bedrock, ECS, SageMaker, Lambda, EKS, Step Functions, EC2, or agentic AWS infrastructure as canonical inventory. Passing that inventory to agent-bom is optional and operator-chosen.

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agent-bom ingest

Validate and ingest operator-pushed agent-bom inventory JSON from AWS, Azure, GCP, Snowflake, CMDB, or endpoint collectors. Use when a user has canonical inventory JSON and wants local findings, graph, policy, provenance, or auditor-ready exports without giving agent-bom direct cloud credentials.

38 installs

agent-bom discover snowflake

Discover Snowflake Cortex, Snowpark, notebook, Streamlit, MCP, and AI-observability assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived Snowflake credentials. Use when a user asks to inventory Snowflake AI or Cortex infrastructure as canonical inventory.

38 installs

agent-bom registry

MCP server security registry and trust assessment — look up servers in the 1123-entry server security metadata registry, run pre-install marketplace checks, batch fleet risk scoring, assess skill file trust, and run SAST code scans. Use when the user mentions MCP server trust, registry lookup, marketplace check, or skill trust assessment.

73 installs

AI Agent Onboarding Wizard

Get your AI agent productive in 5 minutes. Automated environment scan, smart skill recommendations, and exact install commands. No more trial and error.