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transaction-verification

Validate transaction record filenames, YAML frontmatter, and trade value calculations.

Updated May 11, 2026
Search Tags:#transaction verification#financial records#YAML schema#financial auditing#transaction accuracy
One-click install
npx skills add https://github.com/heximao/agents --skill transaction-verification
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: transaction-verification
Source: https://github.com/heximao/agents/tree/main/skill-archive/web/transaction-verification
Command: npx skills add https://github.com/heximao/agents --skill transaction-verification

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of verifying transaction records for financial correctness, consistency, and accuracy by enforcing strict naming conventions, checking YAML schemas, and validating data against a predefined set of rules.

Core Features & Use Cases

  • Filename Validation: Validates transaction record filenames according to specified format.
  • YAML Frontmatter Audit: Inspects the frontmatter of YAML files for key-value pairs adhering to the specified schema.
  • Mathematical Consistency Checks: Validates that transaction data follows logical rules.
  • Cost and Holding Recalculation: Recalculates average costs and holdings for better financial management.
  • Use Case: Use this Skill to audit the accuracy of a set of stock trade records stored in specified directories, ensuring compliance with established naming and schema standards.

Quick Start

Verify transaction records for all trades on March 27, 2026, located in the 'us-stocks/' directory.

Frequently Asked Questions about transaction-verification

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify the accuracy of stock trade records in YAML format?▼

Verify stock trade records by validating YAML frontmatter schemas, checking filename patterns, and recalculating mathematical consistency for transaction values. This ensures financial correctness and compliance across specified directories.

What is financial transaction verification and how does it audit records?▼

Financial transaction validation inspects YAML frontmatter for schema adherence and checks mathematical correctness of trade values. It enforces naming conventions and recalculates average costs to ensure data accuracy.

How do I audit financial records for filename and schema consistency?▼

Audit financial records by enforcing strict filename conventions and inspecting YAML frontmatter against a predefined schema. Custom Python scripts validate these patterns to ensure transaction record consistency.

Can I recalculate average costs and holdings for stock trades automatically?▼

Yes, you can recalculate average costs and holdings automatically. The validation process checks mathematical consistency and recalculates financial values to verify the accuracy of transaction records.

Does this transaction verification process require custom Python scripts?▼

Yes, the transaction verification process utilizes custom Python scripts to execute validations. These scripts inspect YAML frontmatter, validate filenames, and check mathematical consistency across financial directories.

What are the limitations of verifying transaction records with strict naming conventions?▼

The limitation is that strict naming conventions and predefined YAML schemas must be followed exactly. Records failing these specified format or mathematical checks will not pass validation without correction.

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