portaljs-check-data-quality
Audit a local or remote tabular file (CSV/TSV) for common data quality issues — schema, nulls, types, duplicates. Read-only. Use when a dataset needs a quality check before publishing, or a showcase renders wrong (blank cells, garbled numbers, an unsortable date column) and the cause needs isolating.
70
87%
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Low
Low-risk findings worth noting
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 required workflow can download an arbitrary remote CSV/TSV from a user-supplied `http`/`https` URL at runtime (SKILL.md:11-12, 19-20, 29-30) and then the audit reads that downloaded file’s cell text to compute profiles, so outsider-authored free text from public web content can be ingested into the agent/LLM context via the resulting JSON report and any embedded sample values/evidence.
- Repository
- datopian/portaljs
- Commit
ebfd391
- Audited
- Security analysis
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