Analyze recent dotnet/machinelearning MachineLearning-CI failures locally, identify stable failure signatures, deduplicate them against Known Build Error issues, and draft up to three actionable KBE issues. Use when asked to scan ML.NET CI, investigate recurring main-branch failures, or run the former ci-scan agent locally.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The runtime workflow fetches outsider-authored free text from public/unauthenticated build and work-item endpoints (AzDO REST logs and Helix console output) via `curl`, stores excerpts in `/tmp/mlnet-ci-scan/failure.log`, and then embeds that text into the agent’s LLM context for draft issue bodies.
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