What observability backends does this skill support?

It primarily supports local LGTM (Loki, Grafana, Tempo, Mimir) stacks and Railway-hosted Alloy endpoints, but can be configured for any OTLP-compatible backend like Grafana Cloud or DataDog.

How do I verify if my telemetry is working correctly?

Use the 'verify' operation provided by the skill to check your configuration file, test endpoint reachability, and send a test telemetry span to your backend.

Does this skill capture sensitive information?

Yes, the default configuration is set for 'Full Logging,' which includes user prompts and tool results. Users should review privacy settings if working with sensitive data.

Can I use this with custom OTLP endpoints?

Yes, the 'enable-custom' operation allows you to specify a custom endpoint URL, protocol (gRPC or HTTP), and required authentication headers for services like Grafana Cloud.

How do I stop Claude Code from sending telemetry?

You can use the 'disable' command, which renames the telemetry configuration file or sets the enable variable to zero, immediately stopping all data transmission.

Claude Code Telemetry Enabler

Name: Claude Code Telemetry Enabler
Author: adaptationio

byadaptationio

分析与监控

Configures and enables OpenTelemetry logging, metrics, and tracing for Claude Code to monitor session performance and costs.

关于

The Claude Code Telemetry Enable skill streamlines the setup of OpenTelemetry (OTEL) for Claude Code, allowing developers to pipe granular metrics, logs, and traces into local LGTM stacks or cloud platforms like Railway. It provides essential visibility into token usage, API costs, and tool execution flows, which is critical for debugging complex agentic workflows and managing resource consumption. By automating the creation of telemetry environment variables and providing built-in verification tools, it ensures consistent and reliable monitoring across different development environments.

主要功能

Captures detailed metrics including token usage, session frequency, and API costs
Logs full user prompts and tool execution results for deep debugging
0 GitHub stars
Includes a built-in verification tool to test connectivity and configuration health
Supports local LGTM (Loki, Grafana, Tempo, Mimir) and Railway stacks
Provides distributed tracing for session flows and tool execution spans

使用场景

Monitoring AI token consumption and API costs across development sessions
Debugging complex agentic behaviors by reviewing full traces and tool logs
Auditing Claude Code usage within an organization through centralized observability backends

关于

主要功能

Captures detailed metrics including token usage, session frequency, and API costs
Logs full user prompts and tool execution results for deep debugging
0 GitHub stars
Includes a built-in verification tool to test connectivity and configuration health
Supports local LGTM (Loki, Grafana, Tempo, Mimir) and Railway stacks
Provides distributed tracing for session flows and tool execution spans

使用场景

Monitoring AI token consumption and API costs across development sessions
Debugging complex agentic behaviors by reviewing full traces and tool logs
Auditing Claude Code usage within an organization through centralized observability backends