Run GPU jobs on the user's own Modal account via host.compute.create('byoc:modal', ...). Covers the create→submit→wait_for_notification flow, the compute_provider kernel for env setup, image/volume resolution, and the two approval cards. Load once you've decided to dispatch to Modal.
67
81%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Multiple env build/hydrate steps run inside the compute_provider/kernel and explicitly fetch and execute remote code (git+ pip installs, git clone, wget/aria2, HF snapshot_download), e.g. git+https://github.com/Biohub/esm.git@f652b471d29da828b31e9b7a9cf7d0a7803240f5 and https://openfold3-data.s3.amazonaws.com/openfold3-parameters/of3-p2-155k.pt are downloaded and executed during runtime.
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.