repo-health-groom
Groom the dotnet/machinelearning repo-health dashboard locally by linking investigation results, marking resolved findings, archiving stale entries, and drafting conservative comment minimization. Use when asked to clean, update, or maintain the ML.NET health dashboard.
72
89%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
The required workflow reads the body and comments of a public outsider-authored GitHub issue in the `dotnet/machinelearning` repo at runtime (via `gh issue view ... --json body` and `... --json comments`), so free-form text from other authors is ingested into the LLM context for classification/drafting.
- Repository
- dotnet/machinelearning
- Commit
cd2fbd6
- Audited
- Security analysis
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