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.
npx skills add flaqai/ios-application-development-skills --skill ios-ettrace-performancegit clone --depth 1 https://github.com/flaqai/ios-application-development-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/flaqai/ios-application-development-skills/ios-ettrace-performance)<a href="https://agentmods.dev/skills/flaqai/ios-application-development-skills/ios-ettrace-performance"><img src="https://agentmods.dev/badge/skills/flaqai/ios-application-development-skills/ios-ettrace-performance/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/flaqai/ios-application-development-skills/ios-ettrace-performance"><img src="https://agentmods.dev/badge/skills/flaqai/ios-application-development-skills/ios-ettrace-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.02189 |
| Opus 5 | $0.00016 | $0.01094 |
| Sonnet 5 | $0.00006 | $0.00438 |
| Haiku 4.5 | $0.00003 | $0.00219 |
Grade C, and why
ios-ettrace-performance scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf "$RUN_DIR/ETTrace-iphonesimulator.xcarchive" "$RUN_DIR/ETTrace.xcframework" This is a copy
94% identical to ios-ettrace-performance — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS ETTrace Performance
Use this skill to capture a focused, symbolicated ETTrace profile from an iOS simulator app. Pair it with ../ios-debugger-agent/SKILL.md when the task also needs simulator build, install, launch, UI driving, logs, or screenshots.
Core Workflow
- Pick one focused flow and write down the expected start and stop points.
- Build the exact simulator app that will be installed and profiled.
- Temporarily link ETTrace into that app target for simulator/debug profiling.
- Collect UUID-matched dSYMs for the app executable and embedded dynamic frameworks.
- Capture one launch or runtime trace.
- Preserve the processed flamegraph JSON immediately after the run.
- Analyze only the processed JSON and report the flow, artifacts, hotspots, and caveats.
Avoid broad "use the app for a while" captures. One trace should correspond to one user-visible flow.
Setup
Use a writable run folder for each profiling session:
if [ -z "${RUN_DIR:-}" ]; then
RUN_DIR="$(mktemp -d "${TMPDIR:-/tmp}/codex-ios-ettrace.XXXXXX")"
fi
mkdir -p "$RUN_DIR"
Install the ETTrace runner CLI if it is not already available:
brew install emergetools/homebrew-tap/ettrace
ettrace is the host-side macOS runner. The app must also link an ETTrace.xcframework for the iOS Simulator architecture.
This workflow is validated for ETTrace v1.1.0 processed output_<thread>.json files with top-level nodes.
Link ETTrace Into The App
Wire ETTrace into the exact app target being profiled. Keep the integration in a clearly temporary patch and remove it when the profiling task is done unless the user explicitly asks to keep it.
Preferred options:
- Reuse an existing simulator-compatible
ETTrace.xcframeworkif the repo already vendors one. - If none exists, build a simulator-only copy into
RUN_DIRfrom the upstream ETTrace package. - Link the framework directly into the app target, not only into tests, resources, data files, or a nested launcher target.
- Confirm launch logs print
Starting ETTrace. - Profile only one ETTrace-instrumented simulator app at a time because simulator mode listens on a fixed localhost port.
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.
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.
- 9d ago First seen · 198 lines · 32 tokens per session scan C 1888c0b2fc6b
ios-ettrace-performance is a skill published in the GitHub repository flaqai/ios-application-development-skills (4 stars, last pushed 26d ago), licensed MIT. It adds 32 tokens to every session and 2,189 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). It is 94% identical to ios-ettrace-performance, differing in 2 lines, and is treated as a copy.
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