modal-gpu

Run Python code on cloud GPUs using Modal serverless platform. Use when you need A100/T4/A10G GPU access for training ML models. Covers Modal app setup, GPU...

This skill appears to be what it claims (how to run training on Modal GPUs) but the metadata doesn't list the credentials the instructions use. Before installing or running: 1) Expect to provide a Modal token (and optionally a HuggingFace token for private datasets); only provide tokens you trust and scope them with least privilege. 2) Prefer creating Modal secrets (Modal's secret store) rather than pasting tokens into scripts. 3) Verify the skill's origin and review any code you run on Modal (especially user-provided scripts) for data exfiltration or unexpected network calls. 4) Test with non-sensitive/limited-permission tokens first and rotate tokens after testing. 5) If you need absolute assurance, ask the publisher to update the skill metadata to declare required credentials (e.g., PRIMARY_ENV or requires.env) so the requirements are explicit.

Type: OpenClaw Skill Name: mhc-layer-impl-modal-gpu Version: 0.1.0 The skill bundle provides legitimate documentation and code examples for using the Modal serverless GPU platform. It covers standard operations such as environment setup, GPU selection, and data downloading from HuggingFace (SKILL.md, data-download.md). No malicious patterns, data exfiltration attempts, or harmful prompt injections were found.