—
/100
Partial
○ Unscored 1⁄4
Octomil
Manage, optimize, and deploy machine learning models to edge devices with automated hardware-aware configurations. Generate, review, and test code using local inference to reduce costs and enhance privacy. Benchmark model performance and scan codebases to identify the most efficient on-device integration points.
Smithery
Unscored visibility
— 1/4 applicable dimensions scored
○ Schema Quality
○ Protocol
— Reliability
○ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
A remote probe is needed for Protocol and Reliability scores.
Schema Quality
—
25% weight
Protocol Compliance
—
20% weight
Reliability
—
20% weight
Docs & Maintenance
—
15% weight
Security Hygiene
81
20% weight
Score History
Category Trends
30-Day Uptime
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