stock-data-verifier

Cross-verifies stock and ETF metrics from multiple independent sources into a structured JSON schema.

33|10|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/orientpine/honeypot --skill stock-data-verifier
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stock-data-verifier
Source: https://github.com/orientpine/honeypot/tree/main/plugins/stock-consultation/skills/stock-data-verifier
Command: npx skills add https://github.com/orientpine/honeypot --skill stock-data-verifier

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-source data verification for stock and ETF metrics to prevent hallucinated numbers and ensure auditable provenance.

Core Features & Use Cases

  • Cross-source validation: fetch metrics from at least two independent sources with an explicit primary-source mention.
  • Original quotes: attach exact quotes from each source to guarantee traceability.
  • Structured output: produce a verified JSON schema including sources, dates, and a verification status, suitable for audits.
  • Use case: compliance or investment teams verify price, PER, PBR, dividend yield, and assets under management across sources before reporting.

Quick Start

Run stock-data-verifier to cross-verify a stock's data by querying two independent sources and compile a verified result.

Frequently Asked Questions about stock-data-verifier

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

FAQPage Schema
How do I cross-check stock data to prevent hallucinated financial figures?

To cross-check stock data and prevent hallucinated figures, query at least two independent sources for metrics like price and PER, attach original text quotes, and output a structured verification schema for auditable provenance.

What is cross-source data verification for stock metrics?

Cross-source data verification for stock metrics fetches figures like PBR and dividend yield from multiple independent sources, requiring explicit primary-source mentions and exact quotes to ensure traceable, auditable investment data.

Does web-search data verification work for both Korean and US stock markets?

Web-search data verification works for both Korean and US markets by applying direct search tools to cross-verify stock and ETF indicators, ensuring metrics like price and dividend yield are validated across independent sources.

How do I verify ETF price and PER using original text quotes from sources?

Verify ETF price and PER by enforcing direct web-search tool usage to fetch data from at least two independent sources, attaching exact original text quotes from each to guarantee traceability and prevent hallucinated numbers.

What is the best way to audit investment workflow data for compliance reporting?

The best way to audit investment workflow data for compliance is to cross-verify stock metrics across independent sources, requiring original quotes and outputting a structured JSON schema with sources, dates, and verification status.