create-azure-agent — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited create-azure-agent (Agent Skill) and scored it 87/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 3 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 3 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Follow the create-azure-agent skill workflow to generate Azure AI Foundry deployment wrappers for an existing agent skill.
$ARGUMENTS — optional path to the skill directory to deploy. Omit to start with discovery.$ARGUMENTS provides a skill directory, resolve and validate the pathconfiguration (subscription, resource group, region, naming preferences), then run scaffold_azure_agent.py to generate Bicep templates and the Python Azure AI Projects SDK deployment wrapper
azure_deployment/ directory.bicep parameters and running az deployment group createazure_deployment/azure_agent.py (Azure AI Projects SDK orchestration script) and azure_deployment/main.bicep (Cosmos DB, AI Search, and Foundry Project infrastructure).
$ARGUMENTS is empty: ask for the target skill directory before proceedingaz login first/agent-scaffolders:audit-plugin to validate the skill before deploying~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.