Process split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based on skill purpose.
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Low
Low-risk findings worth noting
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tessl review fix ./plugins/ai-ml/dataset-splitter/skills/splitting-datasets/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The skill “splitting-datasets” operates on user-specified/local dataset files (e.g., reading and splitting CSVs from provided file paths), so outsider-authored free text can be ingested via those input files at runtime.
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