Hackernews Intel logo

Hackernews Intel

Organization
Varnan-Tech
hackernews-intel

Monitors Hacker News for user-configured keywords, deduplicates against a local SQLite cache, and sends Slack alerts for new matching posts. Use when asked to monitor Hacker News for mentions, track keywords on HN, get alerts when something is posted about a topic on Hacker News, or set up HN keyword monitoring. Trigger when a user mentions Hacker News alerts, HN monitoring, keyword tracking on HN, or wants to know when a topic appears on Hacker News.

Overview

PublisherVarnan-Tech
Repositoryopendirectory
Skill namehackernews-intel
Stars
674
Forks
74
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Varnan-Tech on GitHub. Read the source before you install it.

Installation

Install the Hackernews Intel 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/Varnan-Tech/opendirectory/tree/main/skills/hackernews-intel
  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/Varnan-Tech/opendirectory.git /tmp/opendirectory
mkdir -p .claude/skills
cp -r /tmp/opendirectory/skills/hackernews-intel .claude/skills/hackernews-intel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hackernews Intel 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 Hackernews Intel 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 Hackernews Intel 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.

Hacker News Intel

Monitor Hacker News for keywords. On each run, fetch new posts via the HN Algolia API, deduplicate against a local SQLite cache, and send Slack alerts for unseen matches. Run manually or schedule via cron or GitHub Actions.


Step 1: Check Setup

1a. Verify required environment variables

Check that these are set:

  • HN_KEYWORDS (required): comma-separated list of keywords to monitor
  • SLACK_WEBHOOK (required): Slack Incoming Webhook URL for alerts

If either is missing, stop and tell the user:

  • HN_KEYWORDS: list the topics you want to monitor, comma-separated. Example: claude code,LLM agents,deno runtime
  • SLACK_WEBHOOK: create an Incoming Webhook at https://api.slack.com/apps. Select your workspace, enable Incoming Webhooks, and copy the URL.

1b. Verify script dependencies

bash
ls /Users/ksd/Desktop/Varnan_skills/hackernews-intel/node_modules/better-sqlite3 2>/dev/null

If missing:

bash
cd /Users/ksd/Desktop/Varnan_skills/hackernews-intel && npm install

Step 2: Run the Monitor

bash
cd /Users/ksd/Desktop/Varnan_skills/hackernews-intel && node scripts/monitor-hn.js

Flags:

  • --dry-run: print matches to stdout without sending any Slack alerts. Use this to preview what would be alerted before committing.
  • --days=N: on the first run, look back N days (default: 1). Only applies when the SQLite cache is empty.
  • --reset: clear the cache and start fresh. Use when you change your keyword list significantly.

What the script does:

  1. Reads HN_KEYWORDS from environment, splits by comma, trims whitespace
  2. Opens (or creates) a SQLite database at the path in HN_DB_PATH (default: ./hn-intel.db)
  3. For each keyword, calls https://hn.algolia.com/api/v1/search_by_date with numericFilters=created_at_i>lastSeen
  4. For each result, checks if the objectID is already in seen_posts — skips if yes
  5. If HN_MIN_POINTS is set, skips posts below that threshold
  6. For new matching posts, sends a Slack alert and inserts the objectID into the cache
  7. Updates poll_log with the run summary
  8. Prints a summary to stdout

Step 3: Review Results

After the script runs, read its stdout output. It will report:

Run complete.
  Keywords checked: N
  Posts found: N
  Posts alerted: N
  Posts skipped (already seen): N
  Errors: N

If Posts found: 0 and you expect results, check:

  • Are the keywords specific enough? Very broad terms (e.g. "AI") may return 0 results if HN Algolia returns too many and the time window is narrow
  • Is the --days window large enough for the first run? Try --days=7
  • Is the DB cache too aggressive? Try --reset to clear it and rerun

If Posts alerted: 0 but Posts found: N, the deduplication is working — those posts were seen in a previous run.


Step 4: Schedule the Monitor

Option A: cron (macOS/Linux)

Add to crontab to run every 4 hours:

bash
crontab -e

Add this line (adjust the path to match your install):

0 */4 * * * cd /Users/ksd/Desktop/Varnan_skills/hackernews-intel && node scripts/monitor-hn.js >> /tmp/hn-intel.log 2>&1

Option B: GitHub Actions (recommended for teams)

Create .github/workflows/hn-intel.yml in any repo:

yaml
name: HN Intel Monitor
on:
  schedule:
    - cron: '0 */4 * * *'
  workflow_dispatch:

jobs:
  monitor:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      - name: Install dependencies
        run: npm install
        working-directory: hackernews-intel
      - name: Run monitor
        run: node scripts/monitor-hn.js
        working-directory: hackernews-intel
        env:
          HN_KEYWORDS: ${{ secrets.HN_KEYWORDS }}
          SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
          HN_MIN_POINTS: ${{ secrets.HN_MIN_POINTS }}

Add HN_KEYWORDS, SLACK_WEBHOOK, and optionally HN_MIN_POINTS as repository secrets.

Note: GitHub Actions does not persist files between runs, so the SQLite cache resets each run. This means every run will find all posts within the default 1-day lookback window again. For persistent dedup on GitHub Actions, store the DB in a persistent location (S3, artifact cache, or a dedicated branch).


Step 5: Tune Keywords and Thresholds

Adding or changing keywords: Update HN_KEYWORDS in your .env or environment. No restart needed — the script reads it fresh each run.

Setting a minimum points threshold: Set HN_MIN_POINTS=10 to only alert on posts with 10 or more points. This cuts noise for broad keywords.

Including comments (not just stories): Set HN_INCLUDE_COMMENTS=true to also monitor comments mentioning the keyword. Off by default — comments generate significantly more volume.

Resetting the cache: Run node scripts/monitor-hn.js --reset to clear seen_posts and poll_log. The next run fetches fresh from the lookback window.

Testing a new keyword: Run node scripts/monitor-hn.js --dry-run --days=7 to see the last 7 days of matching posts without alerting anyone.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hackernews Intel AI skill do?

Monitors Hacker News for user-configured keywords, deduplicates against a local SQLite cache, and sends Slack alerts for new matching posts. Use when asked to monitor Hacker News for mentions, track keywords on HN, get alerts when something is posted about a topic on Hacker News, or set up HN keyword monitoring. Trigger when a user mentions Hacker News alerts, HN monitoring, keyword tracking on HN, or wants to know when a topic appears on Hacker News.

Why use Hackernews Intel on TypingMind?

Because you install it once and use it with any model. Hackernews Intel 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 Hackernews Intel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Varnan-Tech/opendirectory/tree/main/skills/hackernews-intel. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hackernews Intel?

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 Hackernews Intel?

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

Is the Hackernews Intel AI skill free?

Yes. It is published on GitHub by Varnan-Tech 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇