Claude-Command-Suite: Professional slash commands for Claude Code that provide structured workflows for software development tasks

by qdhenry · Claude Skill · ★ 1.3k

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

How to install Claude-Command-Suite

git clone https://github.com/qdhenry/Claude-Command-Suite.git

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.

ai-toolsanthropicclaude-codecli-toolscode-reviewdeveloper-toolsproductivitysecurity-auditslash-commandssoftware-development

Quick Facts

Stars1,337
Forks153
LanguageShell
CategoryClaude Skill
Quality Score67/100
Open Issues5
Last Updated2026-03-01
Created2025-06-13
Platformsclaude-code, cli
Est. Tokens~65k

About Claude-Command-Suite

Claude Command Suite A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development. Claude Command Suite is a development toolkit providing 216+ slash commands, 12 Claude Code Skills, 54 AI agents, and automated workflows for software engineering tasks.

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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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