richfrem/create-azure-agent
plugins/agent-scaffolders/skills/create-azure-agent/SKILL.md
Deploys a skill as an Azure AI Foundry hosted agent. NOT for Docker runtime skills (use `create-docker-skill`) and NOT for MCP server integrations (use `create-mcp-integration`).
$ install --global
skillsauthnpx skillsauth add richfrem/agent-plugins-skills create-azure-agentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Jul 13, 2026, 6:02 AM138.9s81 files scanned
SKILL.md
- name:
- create-azure-agent
- plugin:
- agent-scaffolders
- description:
- >
- argument-hint:
- [skill-dir]
- allowed-tools:
- Bash, Write, Read
Follow the create-azure-agent skill workflow to generate Azure AI Foundry deployment
wrappers for an existing agent skill.
Inputs
$ARGUMENTS— optional path to the skill directory to deploy. Omit to start with discovery.
Steps
- If
$ARGUMENTSprovides a skill directory, resolve and validate the path - Follow the create-azure-agent phased workflow: confirm the target skill, gather Azure
configuration (subscription, resource group, region, naming preferences), then run
scaffold_azure_agent.pyto generate Bicep templates and the Python Azure AI Projects SDK deployment wrapper - Summarize generated files in the skill's
azure_deployment/directory - Instruct on reviewing
.bicepparameters and runningaz deployment group create
Output
azure_deployment/azure_agent.py (Azure AI Projects SDK orchestration script) and
azure_deployment/main.bicep (Cosmos DB, AI Search, and Foundry Project infrastructure).
Edge Cases
- If
$ARGUMENTSis empty: ask for the target skill directory before proceeding - If Azure credentials are not configured: instruct user to run
az loginfirst - Azure AI Foundry enforces a 128-tool limit — scaffold generates a focused worker agent
- Offer to run
/agent-scaffolders:audit-pluginto validate the skill before deploying
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