Build and deploy GitHub Copilot SDK apps to Azure. WHEN: build copilot app, create copilot app, copilot SDK, @github/copilot-sdk, scaffold copilot project, copilot-powered app, deploy copilot app, host on azure, azure model, BYOM, bring your own model, use my own model, azure openai model, DefaultAzureCredential, self-hosted model, copilot SDK service, chat app with copilot, copilot-sdk-service template, azd init copilot, CopilotClient, createSession, sendAndWait, GitHub Models API.
85
81%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
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.
Third-party content exposure detected (high risk: 0.80). The skill explicitly instructs the agent to fetch and ingest documentation and code from public GitHub repositories (e.g., using context7-query-docs / context7-resolve-library-id and fallback to github-mcp-server-get_file_contents with owner:"github" or "azure-samples" in references/copilot-sdk.md and references/existing-project-integration.md), so it will read untrusted third‑party content that can influence subsequent tool use and decisions.
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.
Potentially malicious external URL detected (high risk: 0.90). The skill explicitly instructs using context7 and the fallback github-mcp-server-get_file_contents to read files directly from the GitHub repository (https://github.com/github/copilot-sdk) at runtime and use selected snippets for the user's scenario, which means externally fetched content can be injected into the agent context and directly influence prompts/instructions.
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