npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@vaicli/vai-workflow-doc-freshness

v1.0.0

Published

Audit a knowledge base for stale documents. Gathers collection metadata, model information, sample documents, and cost estimates, then generates a freshness report with recommendations.

Readme

vai-workflow-doc-freshness

Knowledge bases accumulate stale documents over time. Without a freshness audit, users retrieve outdated information and lose trust in the RAG system. Teams need a way to identify potentially stale content and estimate the cost of re-embedding.

Install

vai workflow install vai-workflow-doc-freshness

How It Works

  1. Gather metadata — Use collections, models, and explain to get collection stats, model info, and educational context
  2. Sample and test — Search to sample documents and estimate re-embedding costs
  3. Report — An LLM synthesizes all data into a freshness report with recommendations

Execution Plan

Layer 1 (parallel):  collection_stats | model_info | embedding_context | sample_docs | reembed_cost
Layer 2:             freshness_report

Example Usage

vai workflow run vai-workflow-doc-freshness \
  --input collection="knowledge_base" \
  --input staleness_days=60

What This Teaches

  • Five parallel steps in Layer 1 — the most parallel workflow in the catalog
  • models tool retrieves current model capabilities and benchmarks
  • explain tool retrieves vai's educational content about the shared embedding space
  • estimate tool provides concrete cost figures for re-embedding
  • This is the only workflow using models and explain, completing 14/14 tool coverage

License

MIT © 2026 Michael Lynn