telemetry-logger

Collect quantitative telemetry data from AI agent tasks into docs/track/telemetry.csv.

Updated Jan 10, 2026
One-click install
npx skills add https://github.com/serguei9090/Agentic-Governance-Framework --skill telemetry-logger-serguei9090
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: telemetry-logger
Source: https://github.com/serguei9090/Agentic-Governance-Framework/tree/main/AIWorkflow/.agents/skills/telemetry-logger
Command: npx skills add https://github.com/serguei9090/Agentic-Governance-Framework --skill telemetry-logger-serguei9090

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Collects and persists quantitative telemetry data from AI agent tasks to enable performance analysis and data-driven optimization of the Antigravity workflow.

Core Features & Use Cases

  • Telemetry collection during task completion including timestamp, TaskID, Agent, Action, TokenUsage, DurationSec, and Success
  • Persistent logging to docs/track/telemetry.csv for analytics and /self-evolve workflow improvements
  • Use case: monitor efficiency, identify bottlenecks, and validate task outcomes across complex agentic workflows

Quick Start

Enable telemetry logging for the current task and ensure entries are appended to docs/track/telemetry.csv.

Frequently Asked Questions about telemetry-logger

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

FAQPage Schema
How do I log AI agent telemetry for workflow optimization?

Log AI agent telemetry by enabling a deterministic pipeline that captures task execution events and appends them to docs/track/telemetry.csv. This records Timestamp, TaskID, Agent, Action, TokenUsage, DurationSec, and Success fields for analysis.

What metrics should I track to identify bottlenecks in agentic workflows?

Track quantitative metrics like TokenUsage, DurationSec, and Success status to identify bottlenecks in agentic workflows. Logging these at task completion or phase transitions reveals performance patterns for data-driven optimization.

Can I use telemetry CSV logging to validate task outcomes in Antigravity?

Telemetry CSV logging validates task outcomes in Antigravity by persisting the Success field alongside TaskID and Agent details. This allows you to review completion rates and failure points across complex task executions.

How does session telemetry support the /self-evolve review process?

Session telemetry supports the /self-evolve review process by providing historical performance data stored in telemetry.csv. Analyzing logged TokenUsage and DurationSec helps identify inefficiencies and improve prompts.

Does telemetry logging require any external dependencies?

Telemetry logging requires no external dependencies. It uses a built-in deterministic pipeline to validate and write entries directly to docs/track/telemetry.csv, making it easy to enable for any active task.

When should I enable AI session telemetry logging?

Enable AI session telemetry logging at task completion or during phase transitions. Logging at these specific execution points ensures accurate capture of DurationSec and TokenUsage for subsequent efficiency analysis.