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 asinghcsu · Agent Tool · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AgenticRAG-Survey safe to install? View the security audit →
Agentic Retrieval-Augmented Generation : A Survey On Agentic RAG Overview of Agentic RAG Recent Update (2025-02-04): Check section 4 in the table of contents in this repo for the new Agentic Workflow Patterns. New images have been added to enhance the Overview of Agentic RAG. The paper is also updated. Abstract Agentic Retrieval-Augmented Generation ( Agentic RAG) represents a transformative leap in artificial intelli
| Stars | 1,734 |
| Forks | 185 |
| Category | Agent Tool |
| Quality Score | 49.9761720052511/100 |
| Last Updated | 2025-10-20 |
| Created | 2025-01-10 |
| Est. Tokens | ~1201k |
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AgenticRAG-Survey is Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.. It is categorized as a Agent Tool with 1.7k GitHub stars.
You can find installation instructions and usage details in the AgenticRAG-Survey GitHub repository at github.com/asinghcsu/AgenticRAG-Survey. The project has 1.7k stars and 185 forks, indicating an active community.
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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: