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 addyosmani · Agent Tool · ★ 563
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is git2txt safe to install? View the security audit →
git2txt Convert GitHub repositories to text files with ease. This CLI tool downloads a repository and concatenates its contents into a single text file, making it perfect for analysis, documentation, or AI training purposes. Features 📥 Download any public GitHub repository 📝 Convert repository contents to a single text file ⚡ Automatic binary file exclusion 🔧 Configurable file size threshold 💻 Cross-platform support (Windows, macOS, Linux) Installation Usage You can specify the repository in several formats: URL Format Support The tool accepts these GitHub repository URL formats: HTTPS URLs: Short format: SSH URLs: URLs with or without suffix URLs with or without trailing slashes Options
| Stars | 563 |
| Forks | 59 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 75.9083429961035/100 |
| Open Issues | 12 |
| Last Updated | 2024-11-22 |
| Created | 2024-11-21 |
| Platforms | cli, node |
| Est. Tokens | ~7k |
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git2txt is CLI tool to convert GitHub repositories to text files for LLMs. It is categorized as a Agent Tool with 563 GitHub stars.
git2txt is primarily written in JavaScript. It covers topics such as cli, convert, git.
You can find installation instructions and usage details in the git2txt GitHub repository at github.com/addyosmani/git2txt. The project has 563 stars and 59 forks, indicating an active community.
git2txt is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to git2txt on Agent Skills Hub include loz, mcp-server-atlassian-bitbucket, mcp. 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: