GitHub-Stars-AI-Tools — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

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 xingranya · Agent Tool · ★ 97

Last updated: 2026-07-15 · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is GitHub-Stars-AI-Tools safe to install? View the security audit →

About GitHub-Stars-AI-Tools

GitHub-Stars-AI-Tools 把 GitHub Stars 变成可搜索、可总结、可继续探索的本地 AI 知识库。 | ![GitHub-Stars-AI-Tools 项目介绍图 3](https://img1.tucang.cc/api/image/show/f6a45355aa40bb818943da

ai anthropic desktop-app github-stars knowledge-base local-first natural-language-search openai react readme

Quick Facts

Stars	97
Forks	15
Language	TypeScript
Category	Agent Tool
Quality Score	62.9216685401444/100
Open Issues	2
Last Updated	2026-07-15
Created	2026-07-04
Platforms	node
Est. Tokens	~16k

Compatible Skills

These tools work well together with GitHub-Stars-AI-Tools for enhanced workflows:

wandesk — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (62%)

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Frequently Asked Questions

What is GitHub-Stars-AI-Tools?

GitHub-Stars-AI-Tools is 本地优先的 GitHub Stars AI 桌面应用，用于同步、摘要、标签、搜索和发现项目。Local-first AI desktop app for GitHub Stars.. It is categorized as a Agent Tool with 97 GitHub stars.

What programming language is GitHub-Stars-AI-Tools written in?

GitHub-Stars-AI-Tools is primarily written in TypeScript. It covers topics such as ai, anthropic, desktop-app.

How do I install or use GitHub-Stars-AI-Tools?

You can find installation instructions and usage details in the GitHub-Stars-AI-Tools GitHub repository at github.com/xingranya/GitHub-Stars-AI-Tools. The project has 97 stars and 15 forks, indicating an active community.

What are the best alternatives to GitHub-Stars-AI-Tools?

The top alternatives to GitHub-Stars-AI-Tools on Agent Skills Hub include yume, project-raven, repo-wizard. 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:

View on GitHub → Browse Agent Tool tools