ci-scan-feedback
Audit the local dotnet/machinelearning ci-scan skill using recent ci-scan issues, maintainer feedback, and an optional local scan report, then draft targeted prompt improvements. Use when reviewing scanner quality, investigating false-positive KBEs, or improving the local ci-scan methodology.
68
83%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
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:15-16 describes collecting open/closed `dotnet/machinelearning` issues (outsider-authored public web content) and then reading their bodies/maintainer comments as untrusted data, which would be ingested into the agent’s LLM context at runtime.
- Repository
- dotnet/machinelearning
- Commit
cd2fbd6
- Audited
- Security analysis
Is this your skill?
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.