Iteratively debug Excel structure with exploratory scripts before writing extraction logic
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Low
Low-risk findings worth noting
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tessl review fix ./benchmarks/gdpval/skills/excel-debug-extraction/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The required workflow suggests running debug Python scripts that load a user-provided Excel file at runtime (`load_workbook('file.xlsx')`) and then print cell values/row contents into the logs/LLM-readable output (e.g., first 10 rows, header mappings, sampled row values), which for “files received from external sources” would be outsider-authored free text.
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