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.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
19 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: plugins/build-macos-apps/skills/telemetry/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use telemetry Skill
- Use it for data analysis.
Built with
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
Verified compatibility and discovery
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.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
