flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
70
57%
Does it follow best practices?
Impact
95%
2.63xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./.claude/skills/flow-nexus-neural/SKILL.mdEvaluation results
95%
Content Moderation System for a Creator Platform
Template marketplace, benchmarking, and model publishing
List templates call
100%
100%
Deploy template call
100%
100%
Custom config in deploy
37%
100%
Inference test
100%
50%
Comprehensive benchmark
100%
100%
Validation workflow
100%
100%
Publish template call
100%
100%
Publish category field
100%
100%
Publish price field
100%
100%
NLP-appropriate template search
100%
100%
Template tier filter
100%
100%
100%
100%Multi-Institutional Medical Imaging Collaboration
Distributed cluster initialization and federated learning
Cluster init call
0%
100%
Topology parameter
0%
100%
Consensus protocol
0%
100%
daaEnabled flag
0%
100%
Parameter server node
0%
100%
Aggregator node
0%
100%
Worker autonomy
0%
100%
Cluster connect call
0%
100%
Federated flag
0%
100%
Aggregation rounds
0%
100%
Cluster status monitoring
0%
100%
Cluster termination
0%
100%
92%
77%Smart Grid Energy Consumption Forecasting
LSTM architecture and single-node training workflow
LSTM architecture type
60%
100%
return_sequences on intermediate LSTM
0%
100%
Valid training tier
0%
100%
neural_train call
0%
100%
Training config structure
25%
100%
Adam optimizer usage
0%
100%
Dropout regularization
37%
100%
Training status monitoring
20%
100%
Comprehensive benchmark
0%
100%
Small-tier experimentation
0%
0%
Inference call
20%
100%
- Repository
- ruvnet/ruvector
- Commit
6a6c39e
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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