goskills — security grade SAFE, quality 76/100

Security audit verdict: SAFE · quality 76/100

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 smallnest · Claude Skill · ★ 190

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

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

About goskills

GoSkills - Claude Skills Management Tool English | 简体中文 A powerful command-line tool to parse, manage, and execute Claude Skill packages. GoSkills is designed according to the specifications found in the official Claude documentation. Features Skill Management: List, search, parse, and inspect Claude skills from local directories Runtime Execution: Execute skills with LLM integration (OpenAI, Claude, and compatible APIs) Web Interface: Interactive chat UI with real-time updates, session replay, and rich artifact rendering (PPT, Podcasts) Rich Content Generation: Generate PowerPoint presentations (via Slidev) and Podcast audio Deep Research: Recursive analysis and self-correction capabilities for in-depth investigation Built-in Tools: Shell commands, Python execution, file operations, web fetching, and search MCP Support: Model Context Protocol (MCP) server integration Internationalization: Full support for English and Chinese languages Comprehensive Testing:

Quick Facts

Stars190
Forks28
LanguageGo
CategoryClaude Skill
LicenseMIT
Quality Score75.6457053043196/100
Last Updated2026-01-25
Created2025-11-16
Platformsclaude-code, go
Est. Tokens~1416k

Compatible Skills

These tools work well together with goskills for enhanced workflows:

  • shaping-skills — semantic(0.45)+complementary+similar_pop+shared_platform (51%)
  • tinychat — semantic(0.17)+complementary+shared_fw(openai)+similar_pop+shared_platform (49%)
  • agent-skills — semantic(0.33)+complementary+similar_pop+shared_platform (47%)
  • ai-marketing-claude-code-skills — semantic(0.16)+complementary+similar_pop+shared_platform (45%)

goskills alternative? Top 3 similar tools

Looking for a goskills alternative? If you're comparing goskills with other claude skill tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • digital-marketing-pro by indranilbanerjee · ⭐ 795

    An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analyti

  • life-sciences by anthropics · ⭐ 608

    Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho

  • claude-ai-mcp by anthropics · ⭐ 484

    Report issues related to MCP integration with Claude here.

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Frequently Asked Questions

What is goskills?

goskills is A tool supports OPENAI and other LLMs with Claude Skills, you can also use it as a subagent. It is categorized as a Claude Skill with 190 GitHub stars.

What programming language is goskills written in?

goskills is primarily written in Go.

How do I install or use goskills?

You can find installation instructions and usage details in the goskills GitHub repository at github.com/smallnest/goskills. The project has 190 stars and 28 forks, indicating an active community.

What license does goskills use?

goskills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to goskills?

The top alternatives to goskills on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. 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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