data-viz
Create publication-quality visualizations from CSV/TSV/Excel data using Python
Low
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 workflow reads and processes user-provided/tabular data files via qsv commands like `mcp__qsv__qsv_stats`, `mcp__qsv__qsv_frequency`, and `mcp__qsv__qsv_slice`, so outsider-authored free text in the uploaded dataset is ingested directly at runtime.
- Repository
- dathere/qsv
- Commit
a46782a
- 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.