agent-bom discover gcp

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name: agent-bom-discover-gcp description: >- 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. version: 0.86.1 license: Apache-2.0 compatibility: >- Requires Python 3.11+, agent-bom installed from this repository or PyPI, and operator-controlled GCP read-only credentials from ADC, workload identity, or a scoped service account. metadata: author: msaad00 homepage: https://github.com/msaad00/agent-bom source: https://github.com/msaad00/agent-bom pypi: https://pypi.org/project/agent-bom/ openclaw: requires: bins: - python env: [] credentials: gcp-read-only credential_policy: "Use the operator's existing Application Default Credentials, workload identity, or short-lived service account credentials. Do not ask users to paste service account JSON into chat. Do not print credential values." optional_env: - GOOGLE_APPLICATION_CREDENTIALS - GOOGLE_CLOUD_PROJECT - CLOUDSDK_CONFIG optional_bins: - gcloud emoji: "search" homepage: https://github.com/msaad00/agent-bom source: https://github.com/msaad00/agent-bom license: Apache-2.0 os: - darwin - linux - windows credential_handling: "Credentials stay in the operator environment. The skill invokes GCP SDK discovery locally and writes canonical inventory JSON with source_type=skill_invoked_pull. agent-bom receives sanitized inventory only when the operator explicitly scans or pushes that inventory." data_flow: "Operator GCP project -> read-only Google API calls -> canonical inventory JSON -> optional local agent-bom inventory scan. No agent-bom-hosted service is required. Credential-like values are redacted before persistence/export." file_reads: - "~/.config/gcloud/configurations/config_default" - "~/.config/gcloud/application_default_credentials.json" - "~/.config/gcloud/credentials.db" - "operator-selected service account JSON when GOOGLE_APPLICATION_CREDENTIALS is set" file_writes: - "operator-selected inventory JSON output path" network_endpoints: - url: "https://cloudresourcemanager.googleapis.com" purpose: "Project and resource inventory" auth: true - url: "https://aiplatform.googleapis.com" purpose: "Vertex AI inventory" auth: true - url: "https://run.googleapis.com" purpose: "Cloud Run inventory" auth: true - url: "https://cloudfunctions.googleapis.com" purpose: "Cloud Functions inventory" auth: true - url: "https://container.googleapis.com" purpose: "GKE inventory" auth: true telemetry: false persistence: false privilege_escalation: false always: false autonomous_invocation: restricted

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agent-bom-discover-gcp

Use this skill to collect GCP 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 projects and read-only credentials.

Do not request or display service account private keys, OAuth refresh tokens,

or bearer tokens.

Do not modify GCP 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/gcp_inventory_adapter.py \
  --project "$GOOGLE_CLOUD_PROJECT" \
  --region us-central1 \
  --source gcp-skill-invoked \
  --discovery-method skill_invoked_pull \
  --output gcp-inventory.json

Scan only when the operator asks for findings:

agent-bom agents --inventory gcp-inventory.json --format json --output agent-bom-gcp-findings.json

Evidence Contract

The emitted inventory carries discovery_provenance.source_type: skill_invoked_pull, observed_via: skill_invoked_pull, gcp_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.