Drill down on a cell in the Datarails Excel Add-in to see underlying detail — also the skill to use when the user asks to "explain the variance", "explain this number", "what's driving this", "what's behind this cell", or break a figure into its line items. In a live Excel context (add-in agent bridge available) DR formula cells drill through the add-in's own drill-down; with an .xlsx file (Claude Code) it resolves DR.GET formulas, reads hidden "dr control" filters, queries Datarails, and validates totals; with no workbook at all, the user can paste a DR.GET formula or give structured filters (no-file mode). Self-contained — discovers the client's financials table and fields on its own, no profile or setup step required.
Low
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.
Skill.md’s Phase 3/0–2 fallback path ingests formulas and cached cell values from an outsider-provided Excel workbook (read via openpyxl from `--file` or user-supplied path), then parses DR.GET parameters from those first-party sheet formulas.
0a038a3
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.