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flow-nexus-neural

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

54

2.07x
Quality

37%

Does it follow best practices?

Impact

79%

2.07x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./.agents/skills/flow-nexus-neural/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

41%

24%

Credit Card Fraud Detection Prototype

Single-node neural training configuration

Criteria
Without context
With context

Correct train function

0%

0%

Valid architecture type

0%

100%

Valid tier for prototyping

0%

100%

Training optimizer

100%

100%

Training epochs

100%

100%

Training batch_size

40%

100%

Training learning_rate

40%

100%

Divergent enabled

0%

0%

Valid divergent pattern

0%

0%

Divergent factor

0%

0%

Training status check

0%

0%

Correct predict function

0%

0%

96%

4%

Large-Scale Image Recognition Cluster Setup

Distributed cluster setup and orchestration

Criteria
Without context
With context

Correct cluster init function

50%

75%

Valid cluster topology

100%

100%

Valid consensus mechanism

100%

100%

daaEnabled set

100%

100%

wasmOptimization set

100%

100%

Parameter server node

100%

100%

Worker node

100%

100%

Aggregator node

100%

100%

Cluster connect call

100%

100%

Distributed train function

55%

77%

Valid optimizer in distributed train

100%

100%

Cluster status monitoring

100%

100%

Cluster terminate call

100%

100%

100%

93%

Privacy-Preserving Medical Diagnosis Model

Federated learning and model lifecycle management

Criteria
Without context
With context

Federated flag set

0%

100%

aggregation_rounds configured

0%

100%

min_nodes_per_round configured

0%

100%

proof-of-learning consensus

0%

100%

Worker autonomy set

0%

100%

daaEnabled for federated cluster

0%

100%

Status monitoring call

40%

100%

Performance benchmark

0%

100%

Validation workflow

0%

100%

Publish template function

0%

100%

Publish category set

83%

100%

Repository
ruvnet/ruflo
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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