serverless-modal
Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says "modal run", "modal training", "modal inference", "deploy to modal", "need a GPU", "run on modal", "serverless GPU", or needs remote GPU compute.
89
88%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 1.00). The skill's inference workflows explicitly call transformers.AutoModelForCausalLM.from_pretrained(...) (Pattern B) and set MODEL = "Qwen/Qwen3-4B" with vLLM (Pattern C), which fetch pretrained models/tokenizers from public model hubs (e.g., Hugging Face) — untrusted, user-contributed artifacts that the skill loads and uses to generate outputs, so third-party content can materially influence behavior.
- Commit
2028ac4
- Audited
- Security analysis
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