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subagent-observability

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Monitor sub-agent metrics from Claude logs.

Data & Analytics#metrics#observability#jsonl#sub-agent#cost-analysis#token-usage
AuthorJNZader
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Parse Claude Code JSONL session logs to extract per-sub-agent metrics, including token usage, tool call frequency, thinking-to-action ratio, bottleneck identification, and cost breakdown.

Core Features & Use Cases

  • Token usage per sub-agent: aggregate input/output tokens across sub-agents to quantify resource consumption.
  • Tool call frequency & thinking-to-action analysis: identify which tools are invoked most and how often agents think before acting.
  • Bottleneck detection & cost breakdown: surface latency and token spikes and attribute costs per agent for optimization.

Quick Start

Run the observability workflow on a Claude Code session to generate a per-agent metrics report.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: subagent-observability
Download link: https://github.com/JNZader/javi-ai/archive/main.zip#subagent-observability

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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