GodotPrompter: Agentic skills framework for Godot 4.x

by jame581 · Agent Tool · ★ 912

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Blender, Unity & Godot MCP · Claude Code Skills

How to install GodotPrompter

git clone https://github.com/jame581/GodotPrompter.git
git clone https://github.com/jame581/GodotPrompter.git ~/.codex/godot-prompter

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-skillsclaude-codecopilotcsharpgame-developmentgamedevgdscriptgodotgodot-4godot-engine

Quick Facts

Stars912
Forks61
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score70/100
Open Issues1
Last Updated2026-11-01
Created2026-04-03
Platformsclaude-code, node
Est. Tokens~17k

About GodotPrompter

GodotPrompter Agentic skills framework for Godot 4.x game development. Gives AI coding agents domain-specific expertise for GDScript and C# projects. Inspired by and built on top of the Superpowers plugin for Claude Code — which provides the underlying skill loading, brainstorming, and workflow infrastructure that GodotPrompter extends with Godot-specific domain knowledge.

GodotPrompter alternative? Top 6 similar tools

Looking for a GodotPrompter alternative? If you're comparing GodotPrompter with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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