azure-ai-projects-py
No security findings. Scanned 1 time, most recently 2026-02-05.
Second scanner: NVIDIA SkillSpector
The two scanners disagree: Cisco found nothing and SkillSpector says do not install. One of them has a blind spot here; read the skill before trusting either. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.
- Package
- 10 files, 127 KB
- SKILL.md
- 816 words, 12+ sections
- Code
- None. Instructions only.
SKILL.md covers: Azure AI Projects Python SDK (Foundry SDK) · Installation · Environment Variables · Authentication · Client Operations Overview · Two Client Approaches · 1. AIProjectClient (Native Foundry) · Use Foundry-native operations · 2. OpenAI-Compatible Client · Get OpenAI-compatible client from project · Use standard OpenAI API · Agent Operations
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 8.5 KB |
references/acceptance-criteria.md | doc | 46 KB |
references/agents.md | doc | 6.7 KB |
references/api-reference.md | doc | 27 KB |
references/async-patterns.md | doc | 6.8 KB |
references/connections.md | doc | 4.7 KB |
references/datasets-indexes.md | doc | 4.2 KB |
references/deployments.md | doc | 3.5 KB |
references/evaluation.md | doc | 7.7 KB |
references/tools.md | doc | 12 KB |
External hosts referenced
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
OAUTH_CONSENT_REQUEST
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-projects-py-scan.json
- Badge for your README:
- Request a re-scan