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 spences10 · Claude Skill · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-skills-cli safe to install? View the security audit →
claude-skills-cli CLI for creating Claude Agent Skills with progressive disclosure validation. Built for Claude Code to use when humans ask it to create skills. For Humans Using Claude Code Tell Claude Code to create skills with specific package manager commands. Using npm: Using pnpm: This CLI enforces progressive disclosure so Claude doesn't write 500-line documentation files. Progressive Disclosure Skills load in 3 levels to optimize token usage: This CLI enforces these constraints through validation, keeping skills lean and scannable. Commands init Creates minimal skill scaffolding by default (SKILL.md, references/). Use for example files. validate bash pnpx claude-skills-cli validate .cla
| Stars | 90 |
| Forks | 4 |
| Language | TypeScript |
| Category | Claude Skill |
| Quality Score | 70.2138540925518/100 |
| Open Issues | 8 |
| Last Updated | 2026-08-15 |
| Created | 2025-10-19 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~16k |
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claude-skills-cli is 🤖 CLI for creating Claude Agent Skills with progressive disclosure validation. Built for Claude Code to use when humans ask it to create skills.. It is categorized as a Claude Skill with 90 GitHub stars.
claude-skills-cli is primarily written in TypeScript. It covers topics such as agent, agentic-ai, claude.
You can find installation instructions and usage details in the claude-skills-cli GitHub repository at github.com/spences10/claude-skills-cli. The project has 90 stars and 4 forks, indicating an active community.
The top alternatives to claude-skills-cli on Agent Skills Hub include agnix, ClaudeR, mcp-server-code-execution-mode. 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: