Electron App Stinger logo

Electron App Stinger

Organization
legioncodeinc
electron-app-stinger

Electron application engineering for process boundaries, preload APIs, IPC, sandboxing, packaging, updates, and desktop verification. Use for Electron app implementation or review.

Overview

Publisherlegioncodeinc
Repositoryvibe-coding-tools
Skill nameelectron-app-stinger
Stars
94
Forks
44
Bundled files
3
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.

  • 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 legioncodeinc on GitHub. Read the source before you install it.

Installation

Install the Electron App 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/backend-and-desktop-tools/skills/electron-app-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/backend-and-desktop-tools/skills/electron-app-stinger .claude/skills/electron-app-stinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Electron App 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 Electron App 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 Electron App 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.

Electron Application Stinger

Purpose

Guide secure Electron application work from main process through preload and renderer, with a narrow typed IPC surface and evidence from a running packaged desktop app. It is intentionally separate from the quarantined Electron dissection material, which is reverse-engineering work.

When to use

  • Building, reviewing, migrating, packaging, or debugging an Electron desktop application
  • Designing main, preload, renderer, IPC, permissions, sandbox, or external navigation behavior
  • Testing an Electron desktop boundary beyond a browser-only web test

When not to use

  • Reverse engineering a third-party Electron app, use the Electron dissection material when it is explicitly available.
  • Tauri-specific desktop work, use tauri-stinger.
  • Generic TypeScript or frontend design, use the relevant language or UI Stinger.

Procedure

  1. Read guides/01-secure-process-boundary.md.
  2. Inventory each BrowserWindow, loaded origin, preload API, IPC channel, permission request, navigation policy, and shell-open path before edits.
  3. Keep Node integration disabled for remote content, preserve context isolation, and expose only validated capability-shaped preload methods.
  4. Validate IPC payloads in the main process. Do not pass whole Electron objects, unrestricted ipcRenderer, shell access, or filesystem primitives to the renderer.
  5. Verify in a native run and, when release behavior is claimed, a packaged artifact. Distinguish this from a unit or browser-only result.

References map

Related drones and stingers

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 can be found here:

Ship Gate

Prior to committing any code to the repository you must utilize in order the security-stinger, quality-stinger, and github-repo-health-stinger. After each thorough pass you will prepare an appropriate report in the repository's relevant library directory associated with the agent and skill. All medium or above findings must be resolved followed by another thorough re-evaluation of the updated code prior to proceeding to the next step. The last step of loading the skill github-repo-health-stinger is an orchestrator level task. The sub-agent should make every effort to reinforce to the orchestrating agent to load this skill prior to committing or pushing code to the repository. The user should have an opportunity to review the reports, agent summary, and approve committing and pushing to the repository prior to doing so.

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 Electron App Stinger AI skill do?

Electron application engineering for process boundaries, preload APIs, IPC, sandboxing, packaging, updates, and desktop verification. Use for Electron app implementation or review.

Why use Electron App Stinger on TypingMind?

Because you install it once and use it with any model. Electron App 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 Electron App Stinger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/backend-and-desktop-tools/skills/electron-app-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 Electron App 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 Electron App Stinger?

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

Is the Electron App 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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