MoAI-ADK is a Go-based harness that organizes and verifies Claude Code work across planning, implementation, synchronization, and review stages. Developers use it to structure agentic coding tasks, apply quality gates, and route work across language models, while the catalogue entries extend its workflow with skills, hooks, commands, MCP servers, instructions, and settings.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add modu-ai/moai-adk --skill moai-framework-electrongit clone --depth 1 https://github.com/modu-ai/moai-adkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/modu-ai/moai-adk/moai-framework-electron)<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-framework-electron"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-framework-electron/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-framework-electron"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-framework-electron.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 258 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 258 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.02771 |
| Opus 5.5 | $0.00016 | $0.01108 |
| Sonnet 5.5 | $0.00008 | $0.00554 |
| Haiku 4.5 | $0.00004 | $0.00277 |
Grade A, and why
moai-framework-electron scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Electron 33+ Desktop Development
Quick Reference
Electron 33+ Desktop App Development Specialist enables building cross-platform desktop applications with web technologies.
Auto-Triggers: Electron projects detected via electron.vite.config.ts or electron-builder.yml files, desktop app development requests, IPC communication pattern implementation
Core Capabilities
Electron 33 Platform:
- Chromium 130 rendering engine for modern web features
- Node.js 20.18 runtime for native system access
- Native ESM support in main process
- WebGPU API support for GPU-accelerated graphics
Process Architecture:
- Main process runs as single instance per application with full Node.js access
- Renderer processes display web content in sandboxed environments
- Preload scripts bridge main and renderer with controlled API exposure
- Utility processes handle background tasks without blocking UI
IPC Communication:
- Type-safe invoke/handle patterns for request-response communication
- contextBridge API for secure renderer access to main process functionality
- Event-based messaging for push notifications from main to renderer
Auto-Update Support:
- electron-updater integration with GitHub and S3 publishing
- Differential updates for smaller download sizes
- Update notification and installation management
Packaging Options:
- Electron Forge for integrated build tooling and plugin ecosystem
- electron-builder for flexible multi-platform distribution
Security Features:
- contextIsolation for preventing prototype pollution
- Sandbox enforcement for renderer process isolation
- Content Security Policy configuration
- Input validation patterns for IPC handlers
Project Initialization
Creating a new Electron application requires running the create-electron-app command with the vite-typescript template. Install electron-builder as a development dependency for packaging. Add electron-updater as a runtime dependency for auto-update functionality.
For detailed commands and configuration, see reference.md Quick Commands section.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 329 lines · 41 tokens per session scan A 99c9c0794f95
moai-framework-electron is a skill published in the GitHub repository modu-ai/moai-adk (1,235 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 2,771 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
hn-summarize
Fetch and summarize Hacker News / hckrnews.com top stories, articles, and their comment threads. Use when asked to summarize HN front-page stories, a specific HN story plus its discussion, or "the top N from hckrnews".
code-reviewer
Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, git diff, code edits, quality mentions.
gha
Analyze GitHub Actions failures and identify root causes.
review-claudemd
Review recent conversations to find improvements for CLAUDE.md files.
test-generator
Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.
api-documenter
Auto-generate API documentation from code and comments. Use when API endpoints change, or user mentions API docs. Creates OpenAPI/Swagger specs from code. Triggers on API file changes, documentation requests, endpoint additions.