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 Huzaifa785 · Agent Tool · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is context-compressor safe to install? View the security audit →
Context Compressor The most powerful AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 80% while preserving semantic meaning with state-of-the-art compression strategies. Developed by Mohammed Huzaifa 🚀 Features Core Compression Engine 4 Advanced Compression Strategies: Extractive, Abstractive, Semantic, and Hybrid approaches using state-of-the-art AI models Transformer-Powered: Built on BERT, BART, T5, and other cutting-edge models for maximum compression quality Query-Aware Intelligence: Context-aware compression that prioritizes relevant content based on user queries Multi-Model Support: Works with OpenAI GPT, Anthropic Claude, Google PaLM, and custom models Quality & Performance Comprehensive Quality Metrics: ROUGE scores, semantic similarity, entity preservation, readability analysis Up to 80% Token Reduction: Achieve massive
| Stars | 90 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.6859383582785/100 |
| Open Issues | 2 |
| Last Updated | 2025-08-16 |
| Created | 2025-08-14 |
| Platforms | python |
| Est. Tokens | ~12k |
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context-compressor is AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression strategies.. It is categorized as a Agent Tool with 90 GitHub stars.
context-compressor is primarily written in Python. It covers topics such as ai, anthropic, api-optimization.
You can find installation instructions and usage details in the context-compressor GitHub repository at github.com/Huzaifa785/context-compressor. The project has 90 stars and 14 forks, indicating an active community.
context-compressor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to context-compressor on Agent Skills Hub include ai-microcore, llm-use, agent-builder. 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: