cc-telemetry

Query Claude Code telemetry for tool call history, session stats, and error rates.

Updated Feb 25, 2026
One-click install
npx skills add https://github.com/LayerDynamics/Lore --skill cc-telemetry
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cc-telemetry
Source: https://github.com/LayerDynamics/Lore/tree/main/lore/extensions/cc-telemetry/skills/cc-telemetry
Command: npx skills add https://github.com/LayerDynamics/Lore --skill cc-telemetry

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows users to query and understand the telemetry data generated by the cc-telemetry daemon, which monitors tool calls, session statistics, and events within Claude Code.

Core Features & Use Cases

  • Real-time Monitoring: View live tool call history, session stats, error rates, hook events, and timing data.
  • Debugging: Troubleshoot plugin issues by examining detailed telemetry.
  • Usage Analysis: Understand patterns in tool usage and agent behavior.
  • Auditing: Verify which tools Claude has invoked.

Quick Start

Query the cc-telemetry daemon for live tool call data.

Frequently Asked Questions about cc-telemetry

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor Claude Code tool call history in real-time?

Claude Code telemetry data is queried through the cc-telemetry daemon, which records real-time tool call history, session statistics, hook events, and timing information. You retrieve this data by executing the cc-telemetry Python script with specified arguments.

Can I debug Claude Code plugin issues by examining tool invocation logs?

You can debug Claude Code plugin issues by querying the cc-telemetry daemon to examine detailed tool invocation logs, error rates, and hook events. This exposes exactly which tools were called and where failures occurred during a session.

How do I audit which tools Claude has invoked during a session?

You audit invoked tools by querying Claude Code telemetry data, which records detailed tool call history and session statistics. Running the cc-telemetry Python script retrieves this invocation history for verification.

What is the best way to analyze Claude Code usage patterns and agent behavior?

The best way to analyze Claude Code usage patterns is by querying the cc-telemetry daemon for session statistics and timing information. This telemetry data reveals behavioral trends and tool usage frequencies across your interactions.

Does querying telemetry require a specific environment or dependencies?

Querying telemetry requires an environment capable of executing the cc-telemetry Python script. The Skill lists no external dependencies, but the cc-telemetry daemon must be actively running to capture and serve the tool call data.