Setup & Installation
openclaw skills install @martinforsulu/neo-agent-traffic-analyzer
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install neo-agent-traffic-analyzer
What This Skill Does
Analyzes communication logs between OpenClaw agents to map message flow, measure latency, and detect bottlenecks. Exports results as JSON, CSV, or Graphviz DOT files. Compares patterns across time to track changes in agent coordination.
Replaces manual log inspection with structured analysis and graph output, making bottlenecks visible without writing custom parsing code.
When to use it
- Finding which agent pair causes the most latency in a multi-agent pipeline
- Exporting a DOT graph to visualize agent network topology in Graphviz
- Comparing communication logs before and after a workflow change
- Generating a CSV report of message volumes for spreadsheet review
- Spotting agents with unusually high payload sizes or delivery failures
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: analyze my agent communication log and find bottlenecks
AGENT
- 1Load the JSON communication log file
- 2Parse all agent-to-agent messages with their timestamps, latency, and status fields
- 3Compute message flow statistics and flag high-latency or failed deliveries
- 4Identify the agents and message types responsible for the most delay
- 5Output a bottleneck report with suggested optimization strategies
OUTPUT
A ranked list of bottleneck agent pairs with latency statistics and actionable recommendations