30
/100
F
◉ Complete 5⁄4
End-to-End-Agentic-Ai-Automation-Lab
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
AWS
Docker
Exa
LangChain
Links:
Prompt Injection Risk
Complete visibility
— 5/4 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
66
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
47
25% weight
Security Hygiene
87
33% weight
Schema Interpretability
92
15% weight
Score History
Category Trends
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 60 | Fair |
| Description Quality | 75 | Good |
| Documentation Coverage | 35 | Poor |
| Maintenance Pulse | 58 | Fair |
| Dependency Health | 30 | Poor |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 3 weeks, 6 days ago
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