name: agent-bom-discover-azure description: >- 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. version: 0.97.2 license: Apache-2.0 compatibility: >- Requires Python 3.11+, agent-bom installed from this repository or PyPI, and operator-controlled Azure read-only credentials from Azure CLI, workload identity, managed identity, or service principal. 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: azure-read-only credential_policy: "Use the operator's existing Azure identity chain. Prefer Azure CLI, workload identity, managed identity, or short-lived service principal credentials. Do not ask users to paste client secrets. Do not print credential values." optional_env: - AZURE_SUBSCRIPTION_ID - AZURE_TENANT_ID - AZURE_CLIENT_ID - AZURE_CLIENT_SECRET - AZURE_AUTHORITY_HOST optional_bins: - az 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 Azure 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 Azure subscription -> read-only Azure SDK 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: - "~/.azure/azureProfile.json" - "~/.azure/config" - "~/.azure/msal_token_cache.json" file_writes: - "operator-selected inventory JSON output path" network_endpoints: - url: "https://login.microsoftonline.com" purpose: "Azure identity token exchange when the selected credential flow needs it" auth: true - url: "https://management.azure.com" purpose: "Azure Resource Manager and service inventory" auth: true - url: "https://*.cognitiveservices.azure.com" purpose: "Azure AI and OpenAI service metadata where available" auth: true telemetry: false persistence: false privilege_escalation: false always: false autonomous_invocation: restricted
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.
AZURE_CLIENT_SECRET, access tokens, or
connection strings.小葱技能站7w4.net发现了升级插件。
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
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.
这是一个设计严谨的 Azure 资产发现工具,文档结构清晰,安全措施到位,清楚地说明了风险和应对方法。优点是强调只使用只读权限、不暴露密钥、操作透明;不足之处在于压缩包内缺少实际的运行代码,只有说明文档,无法直接使用。对于需要盘点 Azure 上 AI 代理资源的开发者来说有一定参考价值,但实际使用前需要从外部获取代码。质量中等偏上,文档质量优于功能性。