RAGFlow open-source Retrieval-Augmented Generation (RAG) engine — deployment, configuration, management, and troubleshooting.

• Analyzed: May 12, 2026, 1:21 AM
• Findings: 1
• Version: 1.0.0
• Hash: cfc8db28cac01f4e62601f42bfe11e00bb7603c522614cea233473e2afe043a4
• Source: palm
• External report: View on VirusTotal

Findings (1)

The skill bundle provides legitimate documentation and instructions for deploying and managing the RAGFlow open-source RAG engine. It includes standard Docker deployment procedures, CLI references for managing datasets and model providers, and architectural overviews. While the instructions involve high-privilege actions such as Docker orchestration and system configuration (e.g., modifying vm.max_map_count for Elasticsearch), these are strictly aligned with the stated purpose of the tool. No indicators of malicious intent, data exfiltration, or unauthorized persistence were found across the SKILL.md or reference files.