preset
Verdict safe, but 1 finding (1 medium), mainly data exfiltration. Most recent scan 2026-10-22.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
- Package
- 4 files, 35 KB
- SKILL.md
- 603 words, 12+ sections
- Code
- None. Instructions only.
- License
- MIT
SKILL.md covers: Deploy Model to Optimal Region · What This Skill Does · Prerequisites · Quick Workflow · Fast Path (Current Region Has Capacity) · Alternative Region Path (No Capacity) · Deployment Phases · Error Handling · Advanced Usage · Custom capacity · Check deployment status · Delete deployment
Findings
MEDIUM Bash: tainted data flows to dangerous sink Data Exfiltrationbehavioral
Variable $RESOURCE_GROUP (line 5) flows to `source` at line 17.
references/preset-workflow.md:70
echo " Resource Group: $RESOURCE_GROUP"What is in the package
| File | Kind | Size |
|---|---|---|
EXAMPLES.md | doc | 2.9 KB |
SKILL.md | doc | 4.8 KB |
references/preset-workflow.md | doc | 22 KB |
references/workflow.md | doc | 5.6 KB |
External hosts referenced
management.azure.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
ACCOUNT_NAME MODEL_NAME PROJECT_RESOURCE_ID SELECTED_REGION PROJECT_NAME SUBSCRIPTION_ID MODEL_VERSION MODEL_FORMAT PROJECT_REGION ALL_REGIONS_JSON NEW_PROJECT_NAME AVAILABLE_REGIONS PROJECTS_IN_REGION TENANT_INFO DEPLOYMENT_URL ENDPOINT ORG_NAME PROJECT_COUNT UNAVAILABLE_REGIONS
Package contents recorded 2026-10-22 at commit f49ac319a7d3. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Scan history
| Date | Verdict | Findings | Change | Analyzers | Raw |
|---|---|---|---|---|---|
| SAFE | 1 | = | static bytecode pipeline correlation behavioral trigger | JSON | |
| SAFE | 1 | first scan | static bytecode pipeline correlation behavioral trigger | JSON |
Sources
- Repository: https://github.com/microsoft/azure-skills
- Raw scan result: microsoft-azure-skills-skills-microsoft-foundry-models-deploy-model-preset-scan.json
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