apple-runtime-telemetry-workflow

A workflow for adding privacy-aware logs and timing markers to Apple apps. It uses Apple’s unified logging system and signposts to record focused evidence about runtime behavior.

In plain words
What is it for?
Use it to diagnose lifecycle transitions and classified failures, measure operation duration, choose logging categories, and capture useful evidence while keeping interpolated values private by default.
Why use it?
It helps investigate intermittent problems without collecting broad or sensitive event data. A signpost is a marker in diagnostic output that shows when an operation starts, ends, or changes state.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/gaelic-ghost/socket/apple-runtime-telemetry-workflow
Any agent
npx skills add gaelic-ghost/socket --skill apple-runtime-telemetry-workflow
Clone the repo
git clone --depth 1 https://github.com/gaelic-ghost/socket

Made for: Claude Code, Codex.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 567 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00055 $0.00567
Opus 5 $0.00028 $0.00283
Sonnet 5 $0.00011 $0.00113
Haiku 4.5 $0.00006 $0.00057

Measured 2d ago against content hash 9df8e08fe609, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

apple-runtime-telemetry-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/apple-dev-skills/skills/apple-runtime-telemetry-workflow/SKILL.md · 34 lines

How it starts

The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apple Runtime Telemetry Workflow

Purpose

Add the smallest useful unified-log and signpost evidence to diagnose a concrete runtime question. This workflow owns Logger, subsystem/category design, privacy, evidence capture, and OSSignposter boundaries. It does not own generic server observability, analytics, crash reporting services, or broad event collection.

Workflow

  1. State the question to answer: lifecycle, command, window/scene transition, failure classification, or duration. Do not add telemetry without a specific observation need.
  2. Choose a stable subsystem and a narrow category named for the owning feature. Keep a local logger close to that feature instead of creating an application-wide logging manager.
  3. Emit a small lifecycle record at the transition and a precise error or fault record at a classified failure. Include non-sensitive identifiers only when they make the event actionable.
  4. Leave interpolated values private by default. Mark a value .public only after confirming that it has no user, account, file-path, content, credential, or other sensitive-data meaning.
  5. Use OSSignposter only when duration or event timing is the question. Begin and end the same measured operation, retain the interval state correctly, and inspect the result in Instruments rather than treating an ordinary log line as a timing measurement.
  6. Reproduce the relevant flow and inspect the evidence in Xcode's debug console, Console, or the log tool. Filter by the documented subsystem/category and preserve only the minimal output needed to support the diagnosis.
  7. Remove temporary high-volume records after the investigation, or keep a small durable lifecycle/error set with a clear operational value.

Guards

  • Do not create a logging manager, repository, analytics pipeline, telemetry daemon, or remote collector for ordinary app diagnostics.
  • Do not put secrets, personal data, file contents, raw request bodies, authorization material, or full unreviewed object descriptions in logs.
  • Do not use OSLogStore.local() as a default app feature; Apple documents that local-store access needs an admin account and the com.apple.logging.local-store entitlement.
  • Do not claim a signpost proves a performance improvement until an Instruments capture measures the same scenario.
  • Hand ETTrace, memgraphs, leaks, and trace comparison to ios-runtime-forensics-workflow; hand build/run mechanics to xcode-build-run-workflow.

Read the full file on GitHub · 34 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 34 lines · 55 tokens per session scan A 9df8e08fe609

Subscribe to this mod's changes

apple-runtime-telemetry-workflow is a skill published in the GitHub repository gaelic-ghost/socket (7 stars, last pushed 6d ago), licensed Apache-2.0. It adds 55 tokens to every session and 567 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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