sec-filings-xbrl-dqc
CommunityEnsure SEC filing data integrity.
AuthorGhostOf0days
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical need for ensuring the integrity, consistency, and quality of SEC filings data, particularly when dealing with XBRL tagging and taxonomy adherence. It helps prevent data errors and ensures reliable quantitative research and production controls.
Core Features & Use Cases
- Filing-Tag Integrity: Validates the accuracy and consistency of XBRL tags within SEC filings.
- Taxonomy Consistency: Ensures adherence to the correct XBRL taxonomies across filings.
- DQC Breach Detection: Identifies and flags Data Quality Control (DQC) breaches.
- Use Case: A quantitative researcher needs to analyze financial data from multiple companies' quarterly reports. This Skill can be used to validate that all XBRL tags are correctly applied and consistent with the relevant financial taxonomy, ensuring the accuracy of the subsequent analysis.
Quick Start
Run the sec filings xbrl dqc diagnostics script on the input CSV file to generate a diagnostics JSON artifact.
Dependency Matrix
Required Modules
None requiredComponents
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-filings-xbrl-dqc Download link: https://github.com/GhostOf0days/codex-quant-skills/archive/main.zip#sec-filings-xbrl-dqc Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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