hugging-face-datasets
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
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Low
Low-risk findings worth noting
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tessl review fix ./backend/cli/skills/data-engineering/hugging-face-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
This skill’s required runtime workflow can fetch and load outsider-authored public dataset content (via the DuckDB `hf://` protocol) and then return it as readable JSON rows printed/used by the agent (`scripts/sql_manager.py` → `HFDatasetSQL.query*()` → `fetchall()`/`fetchdf()`), which can include arbitrary free-text from datasets.
- Repository
- synthetic-sciences/openscience
- Commit
52845c3
- Audited
- Security analysis
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