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Check topic factsheet freshness and prioritize outdated updates.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This Skill addresses the issue of outdated information in topic factsheets, providing a prioritized list of updates needed to maintain accuracy.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  • Data Freshness Check: Identifies factsheets with outdated information based on the lastUpdated timestamp.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Run the audit-freshness skill to generate a report on outdated topics.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 This process identifies outdated information and prioritizes update needs based on how old the data is.

What is the best way to prioritize content updates for outdated information?▼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How does source verification work for outdated topics?▼

Source verification for outdated topics works by using WebSearch to check for updated sources.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.