sec-fundamental-anomaly-detection
CommunitySEC Fundamental Anomaly Detection
Finance & Accounting#data quality#financial data#quantitative research#anomaly detection#sec#accounting consistency
AuthorGhostOf0days
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of ensuring the integrity and consistency of financial fundamental data from SEC filings, preventing errors and maintaining data quality.
Core Features & Use Cases
- Data Ingestion & Validation: Ingests and normalizes data with replay support, validating keys, timestamps, and point-in-time join behavior.
- Quality Monitoring: Continuously monitors data quality metrics and quarantines degraded feeds.
- Use Case: Use this skill when tasks involve issuer-filing integrity and accounting consistency controls to ensure the reliability of financial data used in quantitative research.
Quick Start
Run the sec fundamental anomaly detection diagnostics script on input.csv to generate diagnostics.json.
Dependency Matrix
Required Modules
pandas
Components
scriptsreferences
💻 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: sec-fundamental-anomaly-detection Download link: https://github.com/GhostOf0days/codex-quant-skills/archive/main.zip#sec-fundamental-anomaly-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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