customize
No security findings. Scanned 2 times, most recently 2026-10-22.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
- Package
- 4 files, 30 KB
- SKILL.md
- 1159 words, 12+ sections
- Code
- None. Instructions only.
- License
- MIT
SKILL.md covers: Customize Model Deployment · Quick Reference · When to Use This Skill · Comparison: customize vs preset · Prerequisites · Workflow Overview · Complete Flow (14 Phases) · Fast Path (Defaults) · Phase Summaries · Error Handling · Common Issues and Resolutions · Troubleshooting Commands
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
EXAMPLES.md | doc | 4.3 KB |
SKILL.md | doc | 8.8 KB |
references/customize-guides.md | doc | 3.4 KB |
references/customize-workflow.md | doc | 13 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 SUBSCRIPTION_ID MODEL_FORMAT MODEL_VERSION PROJECT_REGION ORG_NAME TENANT_INFO PROJECT_NAME
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 | 0 | = | static bytecode pipeline correlation behavioral trigger | JSON | |
| SAFE | 0 | 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-customize-scan.json
- Badge for your README:
- Request a re-scan