skyll — security grade SAFE, quality 77/100

Security audit verdict: SAFE · quality 77/100

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 assafelovic · Claude Skill · ★ 240

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

🔒 Is skyll safe to install? View the security audit →

About skyll

Skyll • Why use Skyll? • Features • Quick Start • MCP Server • Use Cases • Documentation • Contributing Skyll Skyll is a REST API and MCP server that lets any AI agent search for and learn agent skills at runtime. It aggregates skill

claude-skillmcpskills

Quick Facts

Stars240
Forks27
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score77.4576256555927/100
Open Issues7
Last Updated2026-04-02
Created2026-01-31
Platformsclaude-code, mcp, python
Est. Tokens~21k

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Frequently Asked Questions

What is skyll?

skyll is A tool for autonomous agents like OpenClaw to discover and learn skills autonomously. It is categorized as a Claude Skill with 240 GitHub stars.

What programming language is skyll written in?

skyll is primarily written in Python. It covers topics such as claude-skill, mcp, skills.

How do I install or use skyll?

You can find installation instructions and usage details in the skyll GitHub repository at github.com/assafelovic/skyll. The project has 240 stars and 27 forks, indicating an active community.

What license does skyll use?

skyll is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to skyll?

The top alternatives to skyll on Agent Skills Hub include mcp-gateway-registry, nuwax, Agentic-SEO-Skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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