AI Search skill

The AI Search skill reads a static JSON API of daily AI news: the day's digest, top picks, category filters and keyword search.

  • 116 ★ on the repository
  • Last commit
  • MIT
Skill

Extended access

Why this level

  • Installation runs through `curl | bash` from a third-party site.
  • The agent sends requests to an external service.
All reasons and checks

jackychen-12/ai-search

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add skills/ai-search

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Extended accessThe tool runs code or makes network calls and only reads external data.

  • Installation runs through `curl | bash` from a third-party site.
  • The agent sends requests to an external service.

This is third-party code. Review the repository files before installing.

What it does

The skill connects an agent to `aisearches.cc`, which each day gathers news from more than 40 public sources, removes duplicates and sorts items into categories: models, products, industry, papers, tips. The agent answers requests such as what is new in AI today or what OpenAI released, reading JSON endpoints under `/api/v1/` with no key and no MCP server. The repository holds the whole site: GitHub Actions collects data on a schedule and the static build is published to GitHub Pages. A separate page tracks star growth of AI projects on GitHub across eight tracks. The source list is changed by editing the array in `scripts/sources/rss.ts`, so the site can be repurposed for another field.

Who it is for. Developers and researchers who want an AI news digest inside an agent chat without opening a browser.

Good fit when

  • You want a short morning digest of new models and releases.
  • You need recent publications on a topic such as RAG.
  • An agent should check what came out in AI over the past week.
  • An author wants to fork the site and build a news aggregator for another field.

Not a fit when

  • You need authoritative analysis or fact checking: the site only holds short model comments.
  • Data must appear in real time: the build runs once a day.
  • The agent must not call an external site.

Example request

What is new in AI today? Show only model releases and RAG papers from the past week.

Limitations

The skill depends on the external site `aisearches.cc`: if it stops updating, answers go stale. The installer `install.sh` downloads a file into `.claude/skills/` or `.cursor/skills/`, and a `curl | bash` run should be read first. Short comments are written by a model and may contain errors. A self-hosted copy enables comments with the secret `DEEPSEEK_API_KEY`, which sends article titles to DeepSeek. Sources and texts belong to their authors.

How to disable. Delete `ai-search.md` from `.claude/skills/` or `.cursor/skills/`. If you deployed a fork, disable GitHub Pages and remove the secret.

FAQ

Is an API key required?

No. The endpoints return static JSON without authentication, and no MCP server is needed.

How often is data updated?

Once a day: GitHub Actions rebuilds and publishes the site on a schedule.

Where does the skill install?

The installer puts the file at `.claude/skills/ai-search.md` or `.cursor/skills/ai-search.md`, and saves `SKILL.md` in the current folder when neither directory exists.

How do I make a site for another topic?

Replace the FEEDS array in `scripts/sources/rss.ts` and the categories in `lib/categories.ts`, then run `npm run crawl && npm run dev`.

What are the GitHub trends on the site?

A separate page shows daily star growth of AI projects on GitHub across eight tracks, with filters and search.

Discussion

No questions or reviews yet.

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Comparison with similar tools

Cards that share the main search query, and how they differ.

ToolOfficialRepository starsMain difference
AI Search (this card)no116
AI Daily Digestno1,659reads 90 technical blogs itself and scores articles; this skill takes ready data from an open API
News Aggregator Skillno1,318gathers news on the user's machine; here data comes from the site's daily build

README in short

The project is presented as a site with no server or database, and the skill as an open API for agents. Requests are plain HTTP.

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