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Search Skills

Three search and extraction skills: a search layer that queries several web-search services in parallel, scores results by the intent of the question, removes duplicates and follows citation chains; a URL-to-Markdown extractor that falls back to a document-parsing service for sites that block scraping; and a wrapper for the MinerU parsing service that converts PDF, Office and HTML documents to Markdown. The search and parsing services need the user's own API keys, and the main documentation is in Simplified Chinese. Aimed at people who want an agent to gather and read sources from several search engines at once.

  • Multi-source investigation
GitHub stars: 436 (as of 2026-10-13)

Source: blessonism/search-skills · pinned commit 9e4ab57

View source on GitHub

LuluSkill lists this project so you can find it. A listing is not a security review or an endorsement, and nothing on this page is installed or run for you.

EDITORIAL GUIDE

Multiple search providers still need one evidence standard

Provider routing can widen discovery, but repeated search hits are not independent confirmation. Keep source provenance and service permissions explicit.

LuluSkill’s own reading of this project, not a summary of its README. About 3 minutes to read

This guide is LuluSkill’s own judgement about when this project fits, written from the pinned version named above. It is not the author’s documentation, not a security review and not a recommendation. LuluSkill did not install, run or test the project to write it, and the guide is shown only while this listing still points at the commit it was written against.

When this project fits

Consider this collection when a research question needs source discovery beyond one search service or extraction from linked documents. The README distinguishes search providers, extraction and a research lane; choose the lane that matches the missing evidence rather than invoking every tool.

When to choose something else

Several engines can return the same underlying article. Do not interpret that as several independent witnesses. Extraction also does not authorize access to restricted material, and a fluent synthesis cannot repair a stale source or a quotation that loses its original context.

What to provide and what to expect

Provide a bounded question, time window, preferred primary sources and a citation format. Expect candidate sources or extracted passages with provenance. Ask for a claim ledger separating supported facts, conflicting accounts and gaps instead of a single confident narrative.

Tools, permissions and boundaries

Some provider paths depend on Python, network access and service credentials; others use host search capabilities. Those dependencies must be configured separately. Before sending a query or document, consider what information the selected service receives and whether usage incurs cost.

The tradeoff and an alternative

For a known primary document, reading it directly may be faster and easier to audit. A multi-provider workflow earns its complexity when discovery is genuinely incomplete. Deduplicate by underlying source and preserve the search scope so a future reader can understand coverage.

A small acceptance exercise

Proposed exercise: investigate one dated claim with two independent primary sources. Check publication and event dates, resolve duplicated syndication, and open the cited passage. Reject a summary if its strongest claim appears only in a search snippet or an unattributed extraction.

Source, version and what was actually read

The pinned README provider overview, extraction description and research-lane distinction were read. Provider scripts, paid services and document extraction accuracy were not evaluated. LuluSkill did not install or run this project; the exercise above is a proposed reader check, not a reported result.

How to use this listing

LuluSkill publishes the description and the source link only. The skill itself stays in its author’s repository, and nothing here is installed, copied or run for you.

  1. Read what the skill helps with The summary above says which job the project is for. If that is not the job you have, this is probably not the listing you want.
  2. Open the original source and follow the author’s own instructions The link to the original project opens its author’s page. That page, not this one, is where the setup steps and any copying instructions live.
  3. Use it in a compatible AI assistant Skills of this kind are normally used inside an AI assistant that can read a folder of files on your computer. Which assistants support them is the author’s decision, so check their page before you start.

Who it is for

Somebody who already wants this one job done and is willing to follow the author’s setup steps. No programming knowledge is assumed, and this listing cannot tell you whether the project suits you.

Before you start

You need an AI assistant that supports skills, and you will be following somebody else’s instructions on your own computer. Read them before you run anything.

What you end up with

Whatever the author’s project produces. LuluSkill never runs it, so this page cannot promise a result, a file, or a level of quality.

Where it is normally used

Projects like this are usually used in an AI assistant that supports skills, such as an AI coding assistant. The author’s repository says which assistants it is written for; LuluSkill has not tested it with any of them.

Version checked

The source was checked at this commit: 9e4ab57

Changes made to the repository after this commit have not been checked.

License

MIT, from the licence file in the source repository at the listed commit. Check the repository’s licence before you use or copy the project.

Listing only

LuluSkill lists this project only. It does not host, download or run its code.

What this page does not include

The project’s files and setup steps stay in its own repository. LuluSkill has not security-tested the project or confirmed which AI assistants it works with.

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