investment-validator

Validate investment data accuracy across APIs and SEC filings.

1|1|Updated Oct 2, 2025
One-click install
npx skills add https://github.com/ZhiruiFeng/LocalAgentCrew --skill investment-validator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investment-validator
Source: https://github.com/ZhiruiFeng/LocalAgentCrew/tree/main/.claude/skills/investment-validator
Command: npx skills add https://github.com/ZhiruiFeng/LocalAgentCrew --skill investment-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ensures investment data is accurate, current, and sourced from authoritative APIs and filings before analysis, reducing errors and misinformed decisions.

Core Features & Use Cases

  • Cross-reference prices across multiple authorized APIs (Finnhub, Alpha Vantage, Financial Modeling Prep) to confirm consistency.
  • Validate financial metrics against SEC filings and authoritative sources to ensure ledger parity and reliable valuations.
  • Check data freshness and flag stale information to prevent using outdated inputs.
  • Detect calculation errors and inconsistencies across reported figures and derived indicators.
  • Audit data sources and timestamps to establish provenance and traceability for reports.
  • Use Case: Before generating investment analyses, run data validation to guarantee that inputs meet freshness and accuracy criteria.

Quick Start

Provide your input data and run a validation pass to cross-check prices, metrics, and sources before analysis.

Frequently Asked Questions about investment-validator

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

FAQPage Schema
How do I validate investment data accuracy before running financial analysis?

To validate investment data accuracy, cross-reference prices across multiple authorized APIs and check financial metrics against SEC filings. This confirms ledger parity and ensures your inputs meet freshness and variance thresholds before analysis.

How does cross-referencing prices across APIs work for data provenance?

Cross-referencing prices across APIs works by querying authorized sources like Finnhub, Alpha Vantage, and Financial Modeling Prep to confirm consistency. It establishes data provenance by auditing source timestamps and flagging inconsistencies for traceability.

Can I use this to check data freshness and flag stale investment metrics?

Yes, you can check data freshness and flag stale investment metrics. The validation pass audits timestamps and flags outdated information, preventing the use of stale inputs in your financial reports and derived indicators.

Do I need to validate financial metrics against SEC filings for reliable valuations?

Yes, validating financial metrics against SEC filings is required for reliable valuations. Checking reported figures against authoritative sources ensures ledger parity and detects calculation errors before generating your investment reports.

What is the best way to establish an audit trail for investment data sources?

The best way to establish an audit trail for investment data sources is to run a validation pass that audits source timestamps and cross-references metrics. This creates provenance and traceability for your financial reports.

Why does detecting calculation errors across reported figures matter for pre-analysis checks?

Detecting calculation errors across reported figures matters because it ensures data accuracy before analysis. Pre-analysis checks identify inconsistencies between reported figures and derived indicators, reducing errors and misinformed decisions.