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agent-topology-optimizer

Agent skill for topology-optimizer - invoke with $agent-topology-optimizer

40

1.58x

Quality

11%

Does it follow best practices?

Impact

92%

1.58x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./.agents/skills/agent-topology-optimizer/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

76%

24%

Genetic Algorithm Topology Optimizer

Genetic topology optimization

Criteria
Without context
With context

Default populationSize

100%

100%

Default mutationRate

0%

100%

Default crossoverRate

100%

100%

Default maxGenerations

100%

100%

Default eliteSize

0%

100%

Convergence history generation

100%

100%

Convergence history bestFitness

100%

100%

Convergence history averageFitness

50%

100%

Topology evaluation structure

0%

0%

Improvement threshold

0%

0%

Without context: $0.4591 · 2m 9s · 20 turns · 27 in / 8,233 out tokens

With context: $0.6587 · 2m 18s · 22 turns · 276 in / 8,927 out tokens

100%

22%

Simulated Annealing Agent Network Reconfigurer

Simulated annealing topology optimization

Criteria
Without context
With context

Default initialTemperature

100%

100%

Default coolingRate

0%

100%

Default minTemperature

0%

100%

Default maxIterations

100%

100%

Neighbor: addConnection

100%

100%

Neighbor: removeConnection

100%

100%

Neighbor: modifyConnection

100%

100%

Neighbor: relocateAgent

100%

100%

History: iteration and temperature

100%

100%

History: currentScore and bestScore

100%

100%

Without context: $0.2427 · 1m 9s · 13 turns · 20 in / 4,581 out tokens

With context: $0.5172 · 1m 26s · 22 turns · 275 in / 5,355 out tokens

100%

54%

Multi-Agent Communication Optimizer

Communication pattern optimization

Criteria
Without context
With context

TimeBatchingStrategy

75%

100%

SizeBatchingStrategy

75%

100%

AdaptiveBatchingStrategy

75%

100%

PriorityBatchingStrategy

0%

100%

TCP protocol values

0%

100%

UDP protocol values

0%

100%

WebSocket protocol values

0%

100%

gRPC protocol values

25%

100%

MQTT protocol values

0%

100%

Five optimization areas

100%

100%

Best batching by score

100%

100%

Without context: $0.6795 · 2m 44s · 26 turns · 79 in / 12,352 out tokens

With context: $0.7479 · 2m 39s · 25 turns · 312 in / 10,088 out tokens

Repository
ruvnet/claude-flow
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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