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telemetry Skill

AI Agent SkillJavaScriptOpen source

Add and verify lightweight macOS runtime telemetry. Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions. Published by openai in plugins.

What is telemetry Skill?

Add and verify lightweight macOS runtime telemetry. Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
91/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use telemetry Skill

  • Use it for data analysis.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/build-macos-apps/skills/telemetry/SKILL.md

What it does

Add and verify lightweight macOS runtime telemetry. Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions.

Skill instructions

Telemetry Quick Start Use this skill to add lightweight app instrumentation that helps debug behavior without turning the codebase into a logging landfill. Prefer Apple's unified logging APIs and verify the events after a build/run loop. Core Guidelines - Prefer Logger from the OSLog framework for structured app logs. - Give each feature a clear subsystem/category pair so runtime filtering stays easy. - Log meaningful user and app lifecycle events: window opening, sidebar selection changes, menu commands, menu bar extra actions, sync/load milestones, and unexpected fallback paths. - Keep info logs concise and stable. Use debug logs for noisy state details. - Do not log secrets, auth tokens, personal data, or raw document contents. - Add signposts only when measuring timing or performance spans; do not overinstrument by default. Minimal Logger Pattern swift import OSLog private let logger = Logger( subsystem: Bundle.main.bundleIdentifier ?? "SampleApp", category: "Sidebar" ) @MainActor

Explore related resources

Frequently asked questions

What is telemetry?

telemetry is a open-source AI agent skill with Copy skill directory. Add and verify lightweight macOS runtime telemetry. Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions.

Who is telemetry best for?

telemetry is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install telemetry?

Install or run telemetry using Copy skill directory. Check telemetry for the latest setup command.

Is telemetry actively maintained?

telemetry may need a closer maintenance check before production use.

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Stars
4,556
Forks
668
Last commit
9 days ago
Repository age
5 months
License
Unknown

Auto-fetched from GitHub.

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Similar to telemetry

telemetry: Install, Config & GitHub Signals – SkillIndex