dr-anomalies
OfficialDetect data anomalies
AuthorDatarails
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the detection of data quality issues, outliers, and suspicious patterns within Datarails Finance OS tables, saving users significant time in data validation.
Core Features & Use Cases
- Comprehensive Anomaly Detection: Identifies outliers, missing values, duplicates, temporal inconsistencies, and categorical irregularities.
- Severity-Based Reporting: Organizes findings into critical, high, medium, and low severity levels for prioritized action.
- Use Case: A financial analyst can use this skill to quickly scan a large GL Transactions table for any unusual entries, such as future-dated transactions or duplicate entries, before generating a financial report.
Quick Start
Run /dr-anomalies followed by the table ID you want to analyze.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dr-anomalies Download link: https://github.com/Datarails/dr-claude-code-plugins-re/archive/main.zip#dr-anomalies Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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