splitting-datasets
Split datasets into training, validation, and test partitions with the right stratification and temporal rules. Use as a narrow preprocessing helper once the broader ML workflow is already chosen, not as the main route owner for an end-to-end ML task.
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Low
Low-risk findings worth noting
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tessl review fix ./bundled/skills/splitting-datasets/SKILL.mdLow
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
The required runtime workflow shown in `scripts/split_data.py` processes user-supplied files/directories (`args.input`) by reading them as JSON for `.json` inputs (`open(file_path)` → `json.load(f)`), which can include outsider-authored free text content depending on what the operating user points the script at.
- Repository
- foryourhealth111-pixel/Vibe-Skills
- Commit
f627ab5
- Audited
- Security analysis
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