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 QaisarRajput · Agent Tool · ★ 107
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codebase_to_text safe to install? View the security audit →
Codebase to Text Converter A powerful Python tool that converts codebases (folder structures with files) into a single text file or Microsoft Word document (.docx), while preserving folder structure and file contents. Perfect for AI/LLM processing, documentation generation, and code analysis. ✨ Features Multi-source input: Local directories and GitHub repositories Flexible output: Text files (.txt) and Microsoft Word documents (.docx) Smart exclusions: Advanced pattern matching for files and directories Performance optimized: Efficient traversal of large codebases Comprehensive logging: Detailed verbose mode for transparency Encoding support: Handles various file encodings gracefully 🚀 Installation 📖 Usage Command Line Interface (CLI) Basic Usage Advanced Usage with Exclusions bash Exclude specific patterns codebase-to-text --input "./myproject" --output "output.txt" --outputtype "txt" --exclude ".log,temp/,/pycache/" Multiple exclude arguments codebase-to-text --input "./myproject" --output "output.txt" --outputtype "txt" --exclude ".pyc" --exclude "build/" --exclude "venv/" Exclude hidden files codebase-to-text --input "./myproject" --output "output.txt" --outputtype "txt"...
| Stars | 107 |
| Forks | 21 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 67.4993008733944/100 |
| Open Issues | 5 |
| Last Updated | 2025-08-23 |
| Created | 2024-04-10 |
| Platforms | python |
| Est. Tokens | ~18k |
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codebase_to_text is For GenAI and LLM usage. This package converts codebase (folder structure with files) into a single text file or a Microsoft Word document (.docx), preserving folder structure and file contents. The t. It is categorized as a Agent Tool with 107 GitHub stars.
codebase_to_text is primarily written in Python.
You can find installation instructions and usage details in the codebase_to_text GitHub repository at github.com/QaisarRajput/codebase_to_text. The project has 107 stars and 21 forks, indicating an active community.
codebase_to_text is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to codebase_to_text on Agent Skills Hub include tutor-skills, repren. 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.
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