model-deployment
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
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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
references/fastapi-production-server.md and SKILL.md implement a FastAPI /predict (and /predict/batch) endpoint that reads user-supplied free-text/numeric input from HTTP requests and logs/uses it for prediction and drift monitoring, meaning an outsider can POST content directly into the workflow without pre-selecting a specific item.
- Repository
- secondsky/claude-skills
- Commit
84802a4
- Audited
- Security analysis
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