audit-freshness

Check topic factsheet freshness and prioritize outdated updates.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/mdeutschel/facts --skill audit-freshness
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-freshness
Source: https://github.com/mdeutschel/facts/tree/main/.claude/skills/audit-freshness
Command: npx skills add https://github.com/mdeutschel/facts --skill audit-freshness

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the issue of outdated information in topic factsheets, providing a prioritized list of updates needed to maintain accuracy.

Core Features & Use Cases

  • Data Freshness Check: Identifies factsheets with outdated information based on the lastUpdated timestamp.
  • Priority Ranking: Prioritizes topics that are older than 18 months, followed by those between 12 and 18 months.
  • Content Scanning: Inspects contents for year-specific data, prices, forecasts, regulatory changes, and current references.
  • Source Verification: Checks for updated sources using WebSearch for prioritized topics.
  • Reporting: Generates a report with a list of topics to update, categorized by priority.

Quick Start

Run the audit-freshness skill to generate a report on outdated topics.

Frequently Asked Questions about audit-freshness

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

FAQPage Schema
How do I check data freshness in topic factsheets?

To check data freshness in topic factsheets, you can audit the `lastUpdated` timestamps. This process identifies outdated information and prioritizes update needs based on how old the data is.

What is the best way to prioritize content updates for outdated information?

Prioritizing content updates is done by ranking topics older than 18 months first, followed by those between 12 and 18 months. This generates a prioritized list of factsheets requiring immediate updates.

How does source verification work for outdated topics?

Source verification for outdated topics works by using WebSearch to check for updated sources. It scans contents for year-specific data, prices, forecasts, regulatory changes, and current references.

Do I need a server-side backend to run a data freshness audit?

You do not need a server-side backend or database to run a data freshness audit. The process operates entirely on a client-side search using Bash scripts for processing.

What is included in a data freshness audit report?

A data freshness audit report includes a list of topics to update, categorized by priority. It identifies outdated information by scanning for year-specific data, prices, forecasts, and regulatory changes.