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 brandondocusen · Agent Tool · ★ 115
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is CntxtPY safe to install? View the security audit →
🐍 CntxtPY: Minify Your Python Codebase Context for LLMs 🤯 75% Token Reduction In Context Window Usage! Why CntxtPY? Boosts precision: Maps relationships and dependencies for clear analysis. Eliminates noise: Focuses LLMs on key code insights. Supports analysis: Reveals architecture for smarter LLM insights. Speeds solutions: Helps LLMs trace workflows and logic faster. Improves recommendations: Gives LLMs detailed metadata for better suggestions. Optimized prompts: Provides structured context for better LLM responses. Streamlines collaboration: Helps LLMs explain and document code easily. Supercharge your understanding of Python codebases. CntxtPY generates comprehensive knowledge graphs that help LLMs navigate and comprehend your code structure with minimal token usage. It's like handing your LLM the cliff notes instead of a novel. Active Enhancement Notice CntxtPY is actively being enhanced at high velocity with improvements every day. Thank you for your contributions! 🙌 ✨ Features 🔍 Deep analysis of Python codebases 📊 Generates detailed knowledge graphs of: Module relationships and imports Class hierarchies and methods Function signatures and type hints Package s
| Stars | 115 |
| Forks | 13 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.0638634598824/100 |
| Open Issues | 1 |
| Last Updated | 2024-12-05 |
| Created | 2024-11-27 |
| Platforms | python |
| Est. Tokens | ~7k |
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CntxtPY is A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef. It is categorized as a Agent Tool with 115 GitHub stars.
CntxtPY is primarily written in Python. It covers topics such as architecture-insights, code-documentation, code-visualization.
You can find installation instructions and usage details in the CntxtPY GitHub repository at github.com/brandondocusen/CntxtPY. The project has 115 stars and 13 forks, indicating an active community.
CntxtPY is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CntxtPY on Agent Skills Hub include skene, snip, LLM-Tools. 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: