No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by NTCoding · Claude Skill · ★ 349
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-skillz safe to install? View the security audit →
Claude Skills & Composable Personas Reusable skills and composable system prompts for Claude Code. Claude Launcher Interactive system prompt and model selector for Claude Code. Start Claude with your chosen persona and model in seconds: Features: Order-independent shortcuts: = Frontmatter-based shortcuts (add your own personas instantly) Automatic skill loading via @ references Conflict detection with prominent warnings Exports CLAUDEPERSONA for status line display Setup: See available personas below. You can add your own. OpenCode Launcher Generates OpenCode agents from the same personas used by Claude Launcher. This repo contains system prompts that work with both Claude Code and OpenCode: Claude Launcher () - for Claude Code OpenCode Launcher - generates agents for OpenCode bash Generate OpenCod
| Stars | 349 |
| Forks | 46 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 67.5346371354039/100 |
| Open Issues | 3 |
| Last Updated | 2026-03-24 |
| Created | 2025-11-14 |
| Platforms | claude-code, python |
| Est. Tokens | ~37k |
These tools work well together with claude-skillz for enhanced workflows:
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claude-skillz is Random Claude skills for common, simple programming tasks. It is categorized as a Claude Skill with 349 GitHub stars.
claude-skillz is primarily written in Python.
You can find installation instructions and usage details in the claude-skillz GitHub repository at github.com/NTCoding/claude-skillz. The project has 349 stars and 46 forks, indicating an active community.
The top alternatives to claude-skillz on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: