Repo Radar Stinger logo

Repo Radar Stinger

Organization
legioncodeinc
repo-radar-stinger

Scan GitHub for repos trending in the last 24 hours (vibe coding, AI coding, AI memory, vulnerabilities) via Exa/Firecrawl MCP, vet ONE, and output post options in the user's voice with receipts.

Overview

Publisherlegioncodeinc
Repositoryvibe-coding-tools
Skill namerepo-radar-stinger
Stars
94
Forks
44
Bundled files
5
LicenseAGPL-3.0-or-later
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Repo Radar Stinger 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/legioncodeinc/vibe-coding-tools/tree/main/plugins/content-intelligence/skills/repo-radar-stinger
  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/legioncodeinc/vibe-coding-tools.git /tmp/vibe-coding-tools
mkdir -p .claude/skills
cp -r /tmp/vibe-coding-tools/plugins/content-intelligence/skills/repo-radar-stinger .claude/skills/repo-radar-stinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Repo Radar Stinger 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 Repo Radar Stinger 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 Repo Radar Stinger 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.

Repo Radar Stinger

Purpose

Runs on a cadence (Claude Routines) or on demand. Scans GitHub for repositories trending RIGHT NOW in the user's configured beats (defaults: vibe coding and AI-assisted development, AI coding tools, AI memory systems, newly disclosed vulnerabilities, and anything else on the board a builder audience would share). Vets the single best one, then produces three copy-paste-ready post options in the user's voice (or a neutral voice when none is configured) with the repo link and citations underneath. If nothing on the board is worth posting, it produces nothing.

When to use

  • A scheduled Routine run whose prompt invokes this skill by name
  • "What's trending on GitHub", "find me a repo to post about", "run the repo radar"
  • Any request for a viral-ready post about a trending repository in the user's voice

When not to use

  • General news with no repository at the center: that is viral-news-stinger's beat
  • Rewriting existing content in the user's voice with no mining: use the user's voice skill directly
  • Reviewing or auditing a repo's code quality: that is a different job entirely

Hard gates (all of them, every run)

  1. Preferences, then ledger. Read references/editorial-preferences.md (voice skill, beats, editorial policy) first, then the shared topic ledger, before any scan. A repo already covered, by owner/repo, link, or substance, is dead on arrival. See references/ledger-protocol.md.
  2. 24 hours. The rule binds the SPIKE, not the repo's age. An old repo surging today is fair game; last week's darling is stale. Acceptable spike evidence is defined in references/repo-vetting.md (today's trending board, stars-today, a release or disclosure inside 24 hours).
  3. One repo. Pick ONE candidate from the scan, then vet only that one. Never deep-vet multiple repos; that burns tokens for nothing. If the chosen repo fails vetting, the run ends with a no-post report. It does not fall back to vetting a second repo.
  4. Receipts or nothing. Vetting per references/repo-vetting.md must pass: real code, honest one-sentence description, exact captured numbers, and for security topics a mandatory second source. Never fabricate stars, capabilities, or severity. For vulnerability repos, post the disclosure as news; never write exploit usage instructions or frame the post as a how-to.
  5. No forced output. If the board holds nothing worth posting, say exactly that in three sentences and stop.
  6. Editorial policy from references/editorial-preferences.md: politically neutral by default (no partisan advocacy, contested issues presented fairly), sharp but never fabricated. Preferences change which candidates are picked; they never relax the vetting rules.

Procedure

  1. Read references/editorial-preferences.md and hold the voice skill name, beats, and editorial policy. Load the memory tools if they are deferred (in Cowork, ToolSearch for memory_list, memory_read, memory_write, memory_str_replace). Read the ledger per references/ledger-protocol.md and hold the exclusion list.
  2. Confirm the Exa and/or Firecrawl MCP tools are available (load via ToolSearch if deferred: web_fetch_exa, web_search_exa, firecrawl_search, firecrawl_research_search_github). These are the required mining tools. If neither server is connected, report that and stop; only fall back to a built-in fetch/search tool if one exists, and say so in the output.
  3. Scan, capped at three or four calls total:
    • Fetch https://github.com/trending (daily board) with web_fetch_exa or Firecrawl. Capture repo names, descriptions, languages, stars, and stars-today.
    • Optionally one topic-led pass: firecrawl_search with categories: ["github"] or firecrawl_research_search_github on the priority beats (agent skills, AI memory, CVE proof-of-concepts).
    • Optionally one momentum cross-check: OSS Insight trending API (period=past_24_hours) or trendshift.io, per references/research/distilled-repo-radar.md.
  4. Filter candidates through the gates: current spike, not in the ledger, in a configured beat (defaults and order in references/editorial-preferences.md), and hookable. Skip star-farmed templates and README-only vaporware, unless the star-farming itself is the story.
  5. Choose ONE repo. State the choice and the one-sentence description of what it actually does.
  6. Vet it per references/repo-vetting.md: fetch the repo page, read the README, capture exact numbers, cross-check independent coverage, run the security-topic rules when they apply.
  7. Apply the voice. If a voice skill is configured and available, load it and follow its full workflow: pick one register (choose per its guide), read its guide for each length, calibrate against its corpus, and run its anti-AI gate on every option; its hard rules override the length and punctuation rules here, never the accuracy, fact-check or vetting gates. If none is configured (or it is unavailable), write in a neutral, clear voice, do not invent a persona, and say so in the output header.
  8. Write the deliverable exactly per references/output-template.md: micro (9 words or less), medium (10-60 words), long form (200+ words), the repository link, 2-4 hashtags actually moving in the niche, and the numbered receipts (repo page capture counts as receipt one).
  9. Deliver the output as the run's final message. In an unattended Routine run, also send it through the user-facing message tool if one is available, so it reaches the user verbatim.
  10. Append one ledger line (repo | owner/repo | link) per references/ledger-protocol.md. A no-post run appends nothing.

References map

  • references/ledger-protocol.md: load at step 1 and step 10; the shared memory file location, format, and read/write rules
  • references/editorial-preferences.md: load at step 1; the user-editable voice skill name, beats, editorial policy, length bands and ledger path
  • references/repo-vetting.md: load at steps 4-6; spike evidence, default beat order, the vetting checklist, security-topic rules
  • references/output-template.md: load at step 8; the exact deliverable shape and the no-post shape
  • references/research/distilled-repo-radar.md: load when a discovery endpoint or tool capability needs checking; cited distillation of this skill's research archive
  • references/research/raw/: source-repository archive for tracing a distilled claim; omitted from the installed plugin

Related skills

  • The user's voice skill (separate account skill, named in references/editorial-preferences.md): the voice. When none is configured, drafts are neutral and labeled as such.
  • viral-news-stinger (sibling skill in this pack): the news counterpart. Runs independently on its own cadence and shares the ledger so the two never double-cover a story.

Critical Directive

  • You must read all files and context contained within your skill.
  • In the event your core knowledge does not provide sufficient guidance you must make every attempt to search the internet, related knowledge base documentation files, and other available resources to supplement your knowledge prior to proceeding with your task.
  • Additional related skills: the user's voice skill is a separate account skill; viral-news-stinger is bundled in this pack.

Ship Gate removed: research-only skill, produces social post drafts and a memory ledger line, never committable code.

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 Repo Radar Stinger AI skill do?

Scan GitHub for repos trending in the last 24 hours (vibe coding, AI coding, AI memory, vulnerabilities) via Exa/Firecrawl MCP, vet ONE, and output post options in the user's voice with receipts.

Why use Repo Radar Stinger on TypingMind?

Because you install it once and use it with any model. Repo Radar Stinger 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 Repo Radar Stinger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/content-intelligence/skills/repo-radar-stinger. 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 Repo Radar Stinger?

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 Repo Radar Stinger?

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

Is the Repo Radar Stinger AI skill free?

Yes. It is published on GitHub by legioncodeinc under the AGPL-3.0-or-later 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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