azure-ai-voicelive-py
No security findings. Scanned 1 time, most recently 2026-02-05.
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
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.
- Package
- 5 files, 60 KB
- SKILL.md
- 757 words, 12+ sections
- Code
- None. Instructions only.
SKILL.md covers: Azure AI Voice Live SDK · Installation · Environment Variables · For API key auth (not recommended for production) · Authentication · Quick Start · Core Architecture · Connection Resources · Session Configuration · Audio Streaming · Send Audio (Base64 PCM16) · Read audio chunk (16-bit PCM, 24kHz mono)
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 9.0 KB |
references/acceptance-criteria.md | doc | 7.1 KB |
references/api-reference.md | doc | 8.7 KB |
references/examples.md | doc | 17 KB |
references/models.md | doc | 18 KB |
External hosts referenced
eastus.api.cognitive.microsoft.com cognitiveservices.azure.com ai.azure.com github.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.
Package contents recorded 2026-10-22 at commit cfbcbbdc679c. 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.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
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.
Sources
- Repository: https://github.com/microsoft/agent-skills
- Raw scan result: github-skills-azure-ai-voicelive-py-scan.json
- Badge for your README:
- Request a re-scan