claude-ground: A modular rules & skills system for Claude Code — organize, share, and supercharge your AI coding workflow

by akinalpfdn · Claude Skill · ★ 116

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

How to install claude-ground

npm install -g claude-ground

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

Security audit verdict: SAFE · quality 71/100

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-codingai-toolsautomationclaudeclaude-codeclaude-rulesclideveloper-toolsproductivity

Quick Facts

Stars116
Forks4
LanguageJavaScript
CategoryClaude Skill
Quality Score71/100
Open Issues1
Last Updated2026-09-25
Created2026-03-06
Platformsclaude-code, cli, node
Est. Tokens~12k

About claude-ground

claude-ground A minimal rule system for Claude Code. Gives Claude the structural discipline it lacks by default — phase tracking, decision logging, honest pushback, debug discipline, language-specific best practices, and reusable skills. The problem Claude Code is capable.

Compatible Skills

These tools work well together with claude-ground for enhanced workflows:

claude-ground alternative? Top 6 similar tools

Looking for a claude-ground alternative? If you're comparing claude-ground with other claude skill 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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  • claude-starter by raintree-technology · ⭐ 74

    Advanced Claude Code framework: 40+ skills, meta-commands, TOON format (30-60% token savings), workflow automa

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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:

View on GitHub → Browse Claude Skill tools