azure-search-documents-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
Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets. Triggers: "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search", "semantic search".
- Package
- 7 files, 67 KB
- SKILL.md
- 1137 words, 12+ sections
- Code
- Python (2)
SKILL.md covers: Azure AI Search SDK for Python · Installation · Environment Variables · Authentication · API Key · Entra ID (Recommended) · Client Types · Create Index with Vector Field · Upload Documents · Keyword Search · Vector Search · Your query embedding (1536 dimensions)
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 14 KB |
references/acceptance-criteria.md | doc | 19 KB |
references/agentic-retrieval.md | doc | 7.7 KB |
references/semantic-ranking.md | doc | 7.4 KB |
references/vector-search.md | doc | 6.8 KB |
scripts/setup_agentic_retrieval.py | script | 6.8 KB |
scripts/setup_vector_index.py | script | 6.0 KB |
External hosts referenced
mysearch.search.windows.net 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.
Environment variables referenced
AOAI_EMBEDDING_MODEL AOAI_GPT_MODEL AZURE_OPENAI_EMBEDDING_DEPLOYMENT AZURE_OPENAI_ENDPOINT
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-search-documents-py-scan.json
- Badge for your README:
- Request a re-scan