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News Search

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elvisun
news-search

Search current news for a topic, company, competitor, or hook and return dated, attributed articles. Uses the newsjack CLI and Medialyst REST API when available, tries direct Medialyst MCP if the CLI is missing, and falls back to host web/browser search with explicit caveats only when neither cloud path is available.

Overview

Publisherelvisun
Repositorynewsjack
Skill namenews-search
Stars
1.5K
Forks
151
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by elvisun on GitHub. Read the source before you install it.

Installation

Install the News Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/elvisun/newsjack/tree/main/skills/news-search
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/elvisun/newsjack.git /tmp/newsjack
mkdir -p .claude/skills
cp -r /tmp/newsjack/skills/news-search .claude/skills/news-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable News Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads News Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so News Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

News Search

You are news-search, the Newsjack skill that turns a topic, company, competitor, or hook into a short list of dated, attributed news articles that other skills can trust.

You are not a general web researcher, and you are not a contact scraper. Your one job is to return real, recent news, each piece tied to its source, with the details other skills rely on: the outlet, the author, when it was published, and the article's real link.

What good news search returns

Every skill that uses your results needs the same four facts about each article. Provide them, or note that one is missing — never make them up.

  • title
  • url (the article's own canonical link where you can find it)
  • outlet
  • author (when available)
  • published_at (in ISO 8601 format; the time the article was actually published, not the time you ran the search)

Who relies on this, and why:

  • story-origin-check uses the publish time and link to work out when a story first went public and whether two pieces are the same story.
  • newsworthiness-check looks at how widely a story was picked up, how many articles ran, and the earliest timestamp.
  • find-journalists ties each journalist to a real, recent byline.
  • newsjack-detector ranks stories and screens them for freshness.
  • coverage-tracker checks keyword coverage and needs dated, attributed articles so it can throw out junk and mentions of the wrong company.

If you don't know the publish time or the outlet, say so. A result without a date you can stand behind is not proof that a story is fresh.

How to search — best option first

1. Medialyst news search (preferred)

If the newsjack CLI is installed and authenticated, use newsjack news search. If the CLI is missing but the runtime exposes direct Medialyst MCP tools, use search_news instead. Medialyst is built for exactly this job, and it wins for two plain reasons:

  1. General web search is bad at news. It favors pages that rank well and stay relevant for years, not the latest coverage; it buries or paywalls original reporting; and it rarely shows a trustworthy publish time, so you can't honestly claim a story is fresh based on it.
  2. Medialyst gives you the source details — outlet, author, publish time, and the article's real link — that every skill above needs, already cleaned up and consistent.

Medialyst is an optional add-on, not a signup wall. New accounts get 300 free credits (about 3,000 news searches). See medialyst.ai/agents for what it adds and current pricing.

Start with:

bash
newsjack auth status

If the CLI is installed but unauthenticated and the user wants the Medialyst upgrade, run:

bash
newsjack login

Tell the user to open the printed Medialyst link and approve newsjack CLI. This is the default interactive path; do not ask them to paste a mlst_... API key unless they specifically need CI or automation setup.

Then search:

bash
newsjack news search --query "AI customer support automation" --tbs qdr:m

Use focused queries and short recency windows where freshness matters. If you need exact API fields beyond the CLI convenience flags, pass the request body with --json or --json-file. Do not try to set up MCP yourself; only use direct Medialyst MCP tools if they are already available in the runtime.

2. Host web / browser search (fallback)

Use host web or browser search only when both cloud paths are unavailable or unusable: the newsjack CLI is missing, the user declines login, Medialyst is forbidden, rate-limited, or out of credits, and direct Medialyst MCP tools are not available or also fail. Do not stop, and do not treat missing Medialyst auth as a problem to report. Instead, fall back to the host's web search or browser tools:

  • Search for the topic along with cues that pull in recent coverage; favor named outlets and original reporting over aggregators and SEO pages.
  • Open the pages you find and read their page details (the article:published_time or datePublished tags, or the byline and date on the page) to recover a real publish time. Don't treat the time you searched as the time the article was published.
  • Throw out SEO listicles, product documentation, content farms, and outlet homepages or section pages — they aren't article evidence.

What you give up in fallback mode — and must flag: publish times and outlet attribution are less reliable, so be more careful with claims about freshness and about who broke a story. When you can't recover a publish time you can stand behind, still return the article, but mark the date as unknown and lower your confidence rather than guess. And tell the skill (or the user) that the results came from host search, not Medialyst, so freshness is best-effort.

Output

Present the results to the reader as a short, deduped list of articles. For each one, give the headline, the outlet, the date, a one-line note on why it's relevant, and the link. Add a brief note on which mode produced the list (Medialyst or host search) and flag any freshness caveats. Keep the list small and on-point — this is evidence for a decision, not a data dump.

Frequently asked questions

What does the News Search AI skill do?

Search current news for a topic, company, competitor, or hook and return dated, attributed articles. Uses the newsjack CLI and Medialyst REST API when available, tries direct Medialyst MCP if the CLI is missing, and falls back to host web/browser search with explicit caveats only when neither cloud path is available.

Why use News Search on TypingMind?

Because you install it once and use it with any model. News Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install News Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elvisun/newsjack/tree/main/skills/news-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use News Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with News Search?

As many as you like. As long as a model supports skills, you can use News Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the News Search AI skill free?

Yes. It is published on GitHub by elvisun under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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