common-telemetry

Tracks token usage and execution metadata for workflow cost reports.

Updated Jun 25, 2026

Search Tags:#workflow #metadata #telemetry #token usage #cost reporting

Ready to run

npx skills add https://github.com/VSF-QC-TTS/vf-qc-copilot --skill common-telemetry

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: common-telemetry
Source: https://github.com/VSF-QC-TTS/vf-qc-copilot/tree/main/.agents/skills/common/common-telemetry
Command: npx skills add https://github.com/VSF-QC-TTS/vf-qc-copilot --skill common-telemetry

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill tracks and reports token usage, execution metadata, and cost at the end of agent workflows, ensuring accountability and cost transparency.

Core Features & Use Cases

Token Usage Tracking: Monitor token consumption during workflows for transparency.
Execution Metadata: Record metadata on workflow execution to facilitate analysis.
Cost Reporting: Generate cost reports for each workflow session.
Use Case: Ideal for financial tracking in AI-based workflows, such as chatbots, where understanding token consumption and costs is critical.

Quick Start

Enable the common-telemetry skill at the end of your agent workflows to automatically report session costs and usage.

Frequently Asked Questions about common-telemetry

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

FAQPage Schema

How do I track token usage and costs in an AI agent workflow?▼

You can track token usage and costs by enabling a telemetry skill at the end of your agent workflows to automatically report session metadata, token consumption, and associated costs. This ensures accountability and cost transparency.

What is workflow telemetry and when do I need it for my chatbot?▼

Workflow telemetry is the recording of execution metadata and resource consumption during an automated process. You need it for AI chatbots when financial tracking of token consumption and operational costs is critical.

How do I generate cost reports for an LLM workflow session?▼

To generate cost reports, integrate a telemetry skill into your workflow runtime systems to expose token counts and model metadata. It automatically compiles a cost report for each workflow session.

Does this telemetry skill require specific runtime systems to expose token counts?▼

Yes, it is designed to integrate with runtime systems that can expose token counts, token rates, and model metadata. It relies on these inputs to accurately track and report on workflow execution data.

What is the best way to monitor token consumption without interrupting the workflow?▼

The best way to monitor token consumption without interruption is to attach telemetry reporting at the end of the workflow. This records execution metadata and generates cost reports after the main tasks are complete.

Why is my token cost reporting not capturing execution metadata?▼

Token cost reporting may fail to capture execution metadata if the runtime systems do not properly expose token counts and model metadata. Ensure the telemetry skill is correctly positioned at the end of the agent workflow.