Agent Topology OptimizerCAUTION
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Overview
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
3e0c089e8335OBSERVED · 2026-09-28What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: agent-topology-optimizer
description: Agent skill for topology-optimizer - invoke with $agent-topology-optimizer
---
---
name: Topology Optimizer
type: agent
category: optimization
description: Dynamic swarm topology reconfiguration and communication pattern optimization
---
# Topology Optimizer Agent
## Agent Profile
- **Name**: Topology Optimizer
- **Type**: Performance Optimization Agent
- **Specialization**: Dynamic swarm topology reconfiguration and network optimization
- **Performance Focus**: Communication pattern optimization and adaptive network structures
## Core Capabilities
### 1. Dynamic Topology Reconfiguration
```javascript
// Advanced topology optimization system
class TopologyOptimizer {
constructor() {
this.topologies = {
hierarchical: new HierarchicalTopology(),
mesh: new MeshTopology(),
ring: new RingTopology(),
star: new StarTopology(),
hybrid: new HybridTopology(),
adaptive: new AdaptiveTopology()
};
this.optimizer = new NetworkOptimizer();
this.analyzer = new TopologyAnalyzer();
this.predictor = new TopologyPredictor();
}
// Intelligent topology selection and optimization
async optimizeTopology(swarm, workloadProfile, constraints = {}) {
// Analyze current topology performance
const currentAnalysis = await this.analyzer.analyze(swarm.topology);
// Generate topology candidates based on workload
const candidates = await this.generateCandidates(workloadProfile, constraints);
// Evaluate each candidate topology
const evaluations = await Promise.all(
candidates.map(candidate => this.evaluateTopology(candidate, workloadProfile))
);
// Select optimal topology using multi-objective optimization
const optimal = this.selectOptimalTopology(evaluations, constraints);
// Plan migration strategy if topology change is beneficial
if (optimal.improvement > constraints.minImprovement || 0.1) {
const migrationPlan = await this.planMigration(swarm.topology, optimal.topology);
return {
recommended: optimal.topology,
improvement: optimal.improvement,
migrationPlan,
estimatedDowntime: migrationPlan.estimatedDowntime,
benefits: optimal.benefits
};
}
return { recommended: null, reason: 'No significant improvement found' };
}
// Generate topology candidates
async generateCandidates(workloadProfile, constraints) {
const candidates = [];
// Base topology variations
for (const [type, topology] of Object.entries(this.topologies)) {
if (this.isCompatible(type, workloadProfile, constraints)) {
const variations = await topology.generateVariations(workloadProfile);
candidates.push(...variations);
}
}
// Hybrid topology generation
const hybrids = await this.generateHybridTopologies(workloadProfile, constraints);
candidates.push(...hybrids);
// AI-generated novel topologies
const aiGenerated = await this.generateAITopologies(workloadProfile);
candidates.push(...aiGenerated);
return candidates;
}
// Multi-objective topology evaluation
async evaluateTopology(topology, workloadProfile) {
const metrics = await this.calculateTopologyMetrics(topology, workloadProfile);
return {
topology,
metrics,
score: this.calculateOverallScore(metrics),
strengths: this.identifyStrengths(metrics),
weaknesses: this.identifyWeaknesses(metrics),
suitability: this.calculateSuitability(metrics, workloadProfile)
};
}
}
```
### 2. Network Latency Optimization
```javascript
// Advanced network latency optimization
class NetworkLatencyOptimizer {
constructor() {
this.latencyAnalyzer = new LatencyAnalyzer();
this.routingOptimizer = new RoutingOptimizer();
this.bandwidthManager = new BandwidthManager();
}
// Comprehensive latency optimization
async optimizeLatency(network, communicationPatterns) {
const optimization = {
// Physical network optimization
physical: await this.optimizePhysicalNetwork(network),
// Logical routing optimization
routing: await this.optimizeRouting(network, communicationPatterns),
// Protocol optimization
protocol: await this.optimizeProtocols(network),
// Caching strategies
caching: await this.optimizeCaching(communicationPatterns),
// Compression optimization
compression: await this.optimizeCompression(communicationPatterns)
};
return optimization;
}
// Physical network topology optimization
async optimizePhysicalNetwork(network) {
// Calculate optimal agent placement
const placement = await this.calculateOptimalPlacement(network.agents);
// Minimize communication distance
const distanceOptimization = this.optimizeCommunicationDistance(placement);
// Bandwidth allocation optimization
const bandwidthOptimization = await this.optimizeBandwidthAllocation(network);
return {
placement,
distanceOptimization,
bandwidthOptimization,
expectedLatencyReduction: this.calculateExpectedReduction(
distanceOptimization,
bandwidthOptimization
)
};
}
// Intelligent routing optimization
async optimizeRouting(network, patterns) {
// Analyze communication patterns
const patternAnalysis = this.analyzeCommunicationPatterns(patterns);
// Generate optimal routing tables
const routingTables = await this.generateOptimalRouting(network, patternAnalysis);
// Implement adaptive routing
const adaptiveRouting = new AdaptiveRoutingSystem(routingTables);
// Load balancing across routes
const loadBalancing = new RouteLoadBalancer(routingTables);
return {
routingTables,
adaptiveRouting,
loadBalancing,
patternAnalysis
};
}
}
```
### 3Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (4)
crates
plugin/agents
plugin/commands
plugin/skills
Gates applied: no_behavioural_pass.
3e0c089e8335full audit observations/trust-audit/skill/ruvnet__agent-topology-optimizer.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-28 | 3e0c089e8335 | CAUTION | B | 89 | first audit |
Questions
What does the Agent Topology Optimizer skill do?
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Is Agent Topology Optimizer safe to install?
With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Agent Topology Optimizer access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (3e0c089e8335), read on 2026-09-28. The repository is watched, and a new audit runs when it changes — this is the first audit.