AI-Lawyer-RAG-with-Deepseek: AI Lawyer is an intelligent reasoning legal assistant powered by DeepSeek , Ollama RAG and LangChain, designed

by AbhaySingh71 · Agent Tool · ★ 53

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 53/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

chatbotdeepseek-r1faiss-vector-databasegenerative-aigroqapihuggingfacelangchainlegal-analytics-and-data-sciencellm-agentollama

Quick Facts

Stars53
Forks13
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score53/100
Open Issues1
Last Updated2025-07-15
Created2025-03-19
Platformspython
Est. Tokens~79k

About AI-Lawyer-RAG-with-Deepseek

⚖️ AI Lawyer - RAG with DeepSeek R1 An AI-powered legal chatbot that leverages Retrieval-Augmented Generation (RAG) with DeepSeek R1 and Ollama for advanced legal reasoning. This chatbot is designed to assist users in understanding complex legal documents, retrieving relevant case laws, and providing structured legal insights.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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