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rate-anomalies

Community

Spot and prioritize unusual $/unit rate outliers.

Finance & Accounting#supabase#data-quality#anomaly-detection#financial-data#z-score#returnpro#rate-analysis
Authorclenisa
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Detects anomalous per-unit rates across program-month entries in ReturnPro staged financial data to surface data entry errors, misclassified programs, and upstream reporting issues that distort financial KPIs and automated analytics.

Core Features & Use Cases

  • Compute per-unit rate for each program-month by reading revenue and unit rows from staged financials and casting amount fields to numeric.
  • Calculate historical mean and standard deviation per program, compute z-scores, and flag program-months that exceed a configurable threshold.
  • Support filtering by months and program name substrings, export results as a dense table or CSV, and sort anomalies by severity for triage and correction.
  • Use case: Run against the last six months to find rate spikes that indicate data entry mistakes or misattributed revenue streams before monthly close.

Quick Start

Run the rate-anomalies skill against recent ReturnPro staged financials to flag and export program-month $/unit outliers.

Dependency Matrix

Required Modules

None required

Components

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: rate-anomalies
Download link: https://github.com/clenisa/optimal-cli/archive/main.zip#rate-anomalies

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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