godmode: Engineering discipline for AI coding agents: question the request, verify against current docs, plan, build

by NoobyGains · Claude Skill · ★ 114

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

How to install godmode

claude plugin install godmode

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

Security audit verdict: SAFE · quality 67/100

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.

agent-skillsagentic-codingai-agentsantigravityclaude-codeclaude-code-plugincode-reviewcodexcoding-agentscursor

Quick Facts

Stars114
Forks32
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score67/100
Last Updated2026-10-25
Created2026-03-09
Platformsclaude-code, cli, codex, gemini, node
Est. Tokens~17k

About godmode

An engineering framework for AI coding agents. Stop hoping your agent writes good code — make it. Quick Start That's it. mention Godmode — GodMode activates automatically. The Problem AI coding agents have a predictable failure mode: you ask for a feature, and they immediately start writing code. No questions about requirements. No check for existing patterns. No tests. No spec.

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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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