dr-anomalies-report
Detect data anomalies and generate a comprehensive data-quality Excel WORKBOOK from Finance OS tables, computed over the table's ALL-TIME history (use the anomalies skill for a chat-only answer scoped to the latest fiscal year — the two baselines differ by design, so counts won't match). The MCP tools return baseline aggregates only; this skill derives findings, severity buckets, and the Data Quality Score client-side, then writes a multi-sheet workbook. Self-contained — pass --table-id to target a table directly, or it discovers the financials table on its own; no profile or setup step required.
Install
With your agent
Install OMGSkills skill "Datarails/dr-claude-code-plugins-re:skills/anomalies-report" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/Datarails/dr-claude-code-plugins-re /tmp/dr-claude-code-plugins-re && ln -s /tmp/dr-claude-code-plugins-re/skills/anomalies-report ~/.claude/skills/dr-anomalies-reportFrom README
Anomaly Detection Report Generate a comprehensive data-quality Excel workbook for a Finance OS table. Works with any table — no pre-configuration required. Tool reality check: the MCP profilenumericfields and profilecategoricalfields tools are thin wrappers — they return baseline aggregates only (SUM/AVG/MIN/MAX/COUNT for numerics, distinct-value samples capped at 5 fields for categoricals). There is no server-side anomaly tool. This skill computes every finding, severity bucket, and the Data Quality Score client-side. See /dr-anomalies for the per-category recipes; this skill consumes those same recipes and packages the result as an Excel workbook. Excel Context — Routing Preamble Before any data pull, establish whether this skill is running in a live Excel context (Claude for Excel with the Datarails Add-In loaded) and route accordingly. Detect — never infer from the user's wording. A sheet list containing dragent means the add-in is loaded.
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