Does this skill automatically overwrite my portfolio files?

No, the skill presents a detailed Propagation Plan and requires explicit user confirmation before applying any changes to your entity files.

What happens if a source URL is unreachable?

The skill marks the URL as 'unreachable' in the source registry and flags any associated claims as high-priority verification targets for the user.

Can I use this skill without the cogni-claims plugin?

No, this skill requires the cogni-claims plugin to function, as it relies on the claims.json registry to track evidence and sources.

What is a 'critical deviation' in verification?

A critical deviation occurs when the source data fundamentally contradicts the stored claim, such as a major difference in a market size number (e.g., $4.2B vs $2.4B).

Portfolio Data Verifier

Name: Portfolio Data Verifier
Author: cogni-work

bycogni-work

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Web Scraping & Data Collection

Verifies web-sourced claims and financial data in business portfolios against their original sources to ensure data integrity.

The Portfolio Data Verifier acts as a critical quality gate for strategic knowledge work, cross-referencing market sizes, competitor data, and industry benchmarks gathered by research agents against their original source URLs. It identifies discrepancies, allows for the manual resolution of data deviations, and automatically propagates corrections back to entity files—ensuring that downstream sales proposals, market analyses, and strategic deliverables are built on accurate, verified facts rather than stale or misread information.

Key Features

01Automated correction propagation back to market and proposition JSON files

02Severity-based deviation flagging for critical data discrepancies

03Source registry tracking for URL freshness and reachability

04Automated cross-referencing of portfolio claims against live source URLs

05Intelligent staleness cascading to flag downstream dependencies for refresh

065 GitHub stars

Use Cases

01Fact-checking market size and growth figures before generating client-facing proposals

02Auditing competitor research to ensure all claims are backed by current web data

03Maintaining a high-fidelity source registry for long-term strategic foresight and industry mapping

Key Features

01Automated correction propagation back to market and proposition JSON files

02Severity-based deviation flagging for critical data discrepancies

03Source registry tracking for URL freshness and reachability

04Automated cross-referencing of portfolio claims against live source URLs

05Intelligent staleness cascading to flag downstream dependencies for refresh

065 GitHub stars

Use Cases

01Fact-checking market size and growth figures before generating client-facing proposals

02Auditing competitor research to ensure all claims are backed by current web data

03Maintaining a high-fidelity source registry for long-term strategic foresight and industry mapping