30
/100
F
◉ Complete 5⁄5
MCP-RLM
An implementation of the Recursive Language Models architecture that enables AI agents to process massive documents by programmatically decomposing them into sub-queries. It allows for cost-effective and accurate reasoning across millions of tokens by treating long-form data as an external environment for root and worker models.
Glama
Prompt Injection Risk
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
64
25% weight
Protocol Compliance
40
20% weight
Reliability
—
20% weight
Docs & Maintenance
57
15% weight
Security Hygiene
76
20% weight
Schema Interpretability
76
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 40 | Fair |
| Description Quality | 100 | Good |
| Documentation Coverage | 35 | Poor |
| Maintenance Pulse | 71 | Good |
| Dependency Health | 30 | Poor |
| License Clarity | 100 | Good |
| Version Hygiene | 65 | Fair |
Analyzed 1 month, 1 week ago
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