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 AElfProject · MCP Server · ★ 184
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aelf-skills safe to install? View the security audit →
中文 | English aelf Skills A single discovery and bootstrap entry for the aelf skill ecosystem. This repository provides: Bilingual entry docs for humans and AI agents. A machine-readable catalog: . One-click bootstrap: . AI Quick Prompt (OpenClaw / Codex / Cursor / Claude Code) Scope This hub focuses on discovery, download, install, and capability indexing. It does not replace each skill repository's own client integration logic. Client-specific setup (, , , , , ) remains ins
| Stars | 184 |
| Forks | 10 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 74.1159524345036/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-30 |
| Created | 2026-02-28 |
| Platforms | browser, claude-code, codex, mcp, node |
| Est. Tokens | ~12k |
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aelf-skills is Unified aelf skills hub for discovery, routing, bootstrap, and health checks across OpenClaw, Codex, Cursor, and Claude Code.. It is categorized as a MCP Server with 184 GitHub stars.
aelf-skills is primarily written in TypeScript. It covers topics such as aelf, aelf-skills, agent-skills.
You can find installation instructions and usage details in the aelf-skills GitHub repository at github.com/AElfProject/aelf-skills. The project has 184 stars and 10 forks, indicating an active community.
The top alternatives to aelf-skills on Agent Skills Hub include memorix, ai-skills, agent-skills. 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: