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Coverage Tracker Setup

CommunityPopular
elvisun
coverage-tracker-setup

Set up a lightweight Google Alerts-style coverage tracker for any number of keywords. Creates a tracker config with each keyword and what it actually means, then hands recurrence to the user's agent harness.

Overview

Publisherelvisun
Repositorynewsjack
Skill namecoverage-tracker-setup
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 Coverage Tracker Setup 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/coverage-tracker-setup
  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/coverage-tracker-setup .claude/skills/coverage-tracker-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coverage Tracker Setup 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 Coverage Tracker Setup 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 Coverage Tracker Setup 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.

Coverage Tracker Setup

This sets up a simple keyword tracker that the coverage-tracker skill runs for you. Think of it like a Google Alert: it watches for new coverage of the keywords you care about and tells you when something real shows up.

It is deliberately a different job from setting up newsjack monitoring. A coverage tracker answers "did my keyword get real coverage?" Newsjack monitoring (newsjack-monitor-setup) answers a bigger question: "can my company jump into a broader news story?" If the user wants the second one, use that skill instead.

Where you're running this

Two situations, and they change what you can finish here:

  • You can save files and run commands (Claude Code, Codex, OpenClaw, Hermes, or a similar setup with shell, file, and network access). Here you can do the whole thing: save the tracker, run it once, and hand the recurring schedule to your agent. Before you decide you can't run the CLI, check whether newsjack is installed. It ships as a prebuilt, bundled binary — you do not need Go, a compiler, or any build/install step. Never look for a Go toolchain or tell the user they need a "Go environment" without checking first: run newsjack --version; if that's not on PATH, try the bundled location ~/.newsjack/bin/newsjack --version and use that full path everywhere if it works. The bundled binary is almost always already installed — verify, don't assume it's missing.
  • You're in a plain chat window (Claude.ai, ChatGPT, Claude Cowork, or anything without file/command access). Here you can only draft. Write out the tracker config and the schedule prompt, then tell the user to move to a setup that can save and run things. Don't try to install or run anything, and don't tell the user it was saved or scheduled when it wasn't.

What to ask the user

Only ask for what you don't already know:

  • a name for the tracker
  • the keywords to watch (as many as they want)
  • for each keyword, one short note on what it actually means: which company, product, or person should it point to? This is what later filters out wrong matches.
  • optionally, words or uses to ignore when a keyword is ambiguous (for example, a common word that also happens to be a brand name)
  • how often to check: every morning, twice a day, or hourly

Don't ask about company standing, spokespeople, competitors, proof assets, news feeds, target reporters, or story angles. All of that is for newsjacking, not for tracking coverage of your own keywords.

Steps to set it up

  1. Write the tracker config. This is a small file that the coverage-tracker skill reads back every time it runs, so keep its shape exactly as shown:

    json
    {
      "name": "Profound",
      "lookback_days": 2,
      "keywords": [
        {
          "keyword": "profound",
          "means": "Profound, the AI search analytics company.",
          "exclude_hints": ["generic adjective uses"]
        }
      ]
    }

    You can list as many keywords as you want. The means line for each one matters: make it specific (which company, product, or person) so the tracker can later throw out mentions of the wrong thing or generic uses of the word.

    If you're in a plain chat window, stop here. Hand the user this config plus the schedule prompt from step 3, and tell them to finish in a setup that can save and run things. Don't claim it was saved or scheduled.

  2. Save the config with this command (replace <slug> with a short name for the tracker):

    bash
    newsjack coverage init <slug> --config tracker.json

    Working inside a copy of the project source, use bin/newsjack from the project root instead. Only add --force if the user clearly wants to overwrite a tracker that already exists.

  3. Schedule the recurring check through your agent, not your computer's built-in scheduler. If your agent has a way to schedule prompts, schedule this one:

    text
    Use the coverage-tracker skill for <slug>.

    If your agent can't schedule things itself, tell the user exactly which prompt to set up on a schedule in Claude, Codex, Hermes, OpenClaw, or whatever they use. Do not set up system-level schedulers (cron, launchd, systemd timers, or similar) on the user's machine.

  4. Run it once right away if the user wanted a working setup, or if you're doing the whole setup end to end. Use the coverage-tracker skill for the new slug and tell the user what the first run found.

Updating a tracker you already have

First, look up where the config lives:

bash
newsjack coverage status <slug>

That shows a config_path. Open the config file there, make your edits, then save it again with:

bash
newsjack coverage init <slug> --config tracker.json --force

Only change the keywords or their meaning notes. The record of what's already been seen and alerted on is kept separately by coverage-tracker (in its own database) — don't edit that by hand.

What to tell the user when you're done

Wrap up by giving them:

  • the tracker slug (its short name)
  • where the config file is saved
  • the schedule prompt and how often it'll run
  • what the first run found, if you ran it

Frequently asked questions

What does the Coverage Tracker Setup AI skill do?

Set up a lightweight Google Alerts-style coverage tracker for any number of keywords. Creates a tracker config with each keyword and what it actually means, then hands recurrence to the user's agent harness.

Why use Coverage Tracker Setup on TypingMind?

Because you install it once and use it with any model. Coverage Tracker Setup 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 Coverage Tracker Setup in TypingMind?

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

Which AI models can use Coverage Tracker Setup?

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 Coverage Tracker Setup?

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

Is the Coverage Tracker Setup 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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