issue-triage
Triage a dotnet/machinelearning GitHub issue locally by selecting the best repository label, adding untriaged, identifying the affected ML.NET area, and drafting a useful maintainer comment. Use when asked to triage, classify, label, or respond to an ML.NET issue.
69
84%
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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
SKILL.md:30-31 requires reading an “open issue” (title, body, comments, linked artifacts) from a dotnet/machinelearning issue URL/number, so the LLM at runtime ingests outsider-authored free-form issue text and comment text as untrusted data.
- Repository
- dotnet/machinelearning
- Commit
cd2fbd6
- Audited
- Security analysis
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