# dr-anomalies

> Claude/Codex skill by [@Datarails](https://omgskills.com/library/datarails/index.md) · 3 stars · Updated 2026-10-25

Detect data anomalies in one Datarails Finance OS table and answer IN CHAT — severity-ranked outliers, duplicates, missing/null rates, rare values — scoped to the latest complete fiscal year. Writes no file (use the anomalies-report skill for an Excel workbook; use the profile skill for unscoped whole-history statistics). The MCP profiling and aggregation tools return baseline aggregates only (raw rows come from the separate get\_data\_by\_\* calls); this skill computes the findings client-side.

## Install

```sh
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 ~/.claude/skills/dr-anomalies
```

## From README

Datarails Anomaly Detection Find data quality issues in Finance OS tables. The MCP server's profile tools are deliberately thin — they return baseline aggregates and nothing more. This skill computes the actual findings (outliers, severity, duplicate counts, null rates) by post-processing those aggregates. Be explicit about which numbers came from the tool versus which the skill derived.

## Links

- HTML page: https://omgskills.com/library/datarails/dr-claude-code-plugins-re/skills/anomalies/
- GitHub: https://github.com/Datarails/dr-claude-code-plugins-re
- Author: [@Datarails](https://omgskills.com/library/datarails/index.md)

## More from this repo

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