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telemetry

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

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Repository
openai/plugins
Letzte Quellaktivität
27. Mai 2026 um 14:26
Erkannte Sprache von SKILL.md
Englisch
Sterne
7.454
Forks
970

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
telemetry
description
Add and verify lightweight macOS runtime telemetry. Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions.
# 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 func selectItem(_ item: SidebarItem) { logger.info("Selected sidebar item: \(item.id, privacy: .public)") selection = item.id } ``` Use feature-specific categories like `Windowing`, `Commands`, `MenuBar`, `Sidebar`, `Sync`, or `Import` so logs can be filtered quickly. ## Workflow 1. Identify the behavior that needs observability. - Window open/close - Sidebar or inspector selection changes - Menu or keyboard command actions - Menu bar extra actions - Background load/sync/import events - Error and recovery paths 2. Add the smallest useful instrumentation. - Create one `Logger` per feature area or type. - Log action boundaries and key state transitions. - Prefer one high-signal line per user action over noisy value dumps. 3. Build and run the app. - Use `build-run-debug` for the build/run loop. - If `script/build_and_run.sh` exists, prefer `./script/build_and_run.sh --telemetry` for live telemetry checks or `./script/build_and_run.sh --logs` for broader process logs. - Exercise the UI or command path that should emit telemetry. 4. Read runtime logs and verify the event fired. - Use Console.app with a process/subsystem filter when that is the fastest manual check. - Use `log stream --style compact --predicate 'process == "AppName"'` for live terminal verification. - Prefer tighter predicates when you know the subsystem/category: `log stream --style compact --predicate 'subsystem == "com.example.app" && category == "Sidebar"'` 5. Tighten or remove instrumentation. - If the event fires, keep only the logs that remain useful for future debugging. - If it does not fire, move the log closer to the suspected control path and rerun. ## Verification Checklist - The app builds after telemetry changes. - The relevant action emits exactly one clear log line or a small bounded sequence. - The log can be filtered by process, subsystem, or category. - No sensitive payloads are written to unified logs. - Noisy temporary debug logs are removed or demoted before finishing. ## Guardrails - Do not use `print` as the primary app telemetry mechanism for macOS app code. - Do not leave a dense trail of permanent debug logs around every state mutation. - Do not claim an event is wired correctly until you have a concrete verification path through Console, `log stream`, or captured process output. - If the debugging task is mostly about crash/backtrace analysis rather than action telemetry, switch to `build-run-debug`.
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