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microsoft-foundry

Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, prompt optimization, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, optimize prompt, improve prompt, prompt optimization, prompt optimizer, improve agent instructions, optimize agent instructions, optimize system prompt, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, create dataset from traces, dataset versioning, eval trending, create AI Services, Cognitive Services, create Foundry resource, provision resource, knowledge index, agent monitoring, customize deployment, onboard, availability. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

88

Quality

85%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Security

2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.

Medium

W011: Third-party content exposure detected (indirect prompt injection risk)

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

Third-party content exposure detected (high risk: 0.90). The skill explicitly fetches and ingests public third-party content—e.g., the Create workflow (foundry-agent/create/create.md Step 3–4) uses the GitHub API to browse and download sample files, the WebSearchPreviewTool/Bing grounding (references/tool-web-search.md and tool-bing-grounding.md) returns live web results, and the toolbox/MCP tooling (references/toolbox.md and tool-mcp.md) connects to remote MCP endpoints—and those fetched, user-generated, or public web results are read and used by the agent as part of required workflows, so untrusted third-party content can materially influence actions.

Report incorrect finding
Medium

W012: Unverifiable external dependency detected (runtime URL that controls agent)

What this means

The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.

Why it was flagged

Potentially malicious external URL detected (high risk: 1.00). The skill explicitly instructs runtime downloads of sample code via the GitHub Contents API (e.g. https://api.github.com/repos/microsoft-foundry/foundry-samples/contents/{selected_sample_path}) and curl commands to fetch code that is then used as the agent project (i.e., remote code that will be executed/run), making this a required runtime external dependency that can control/execute agent behavior.

Repository
microsoft/azure-skills
Audited
Security analysis
Snyk

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.