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.
79
72%
Does it follow best practices?
Impact
82%
1.86xAverage score across 6 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/hugging-face-datasets/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 0.90). This skill (scripts/sql_manager.py and the SKILL.md "SQL Dataset Querying" examples) explicitly accesses arbitrary public Hugging Face datasets via the hf:// protocol (e.g., querying "cais/mmlu"), so the agent fetches and interprets untrusted, user-contributed dataset content which can materially influence queries, exports, pushes, and subsequent actions.
- Repository
- huggingface/skills
- Commit
73246ad
- Audited
- Security analysis
Is this your skill?
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.