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Ios Ettrace Performance

  • 45 installs
  • 4.9k repo stars
  • Updated July 14, 2026
  • openai/plugins

ios-ettrace-performance is an agent skill for capturing and analyzing symbolicated ETTrace profiles from iOS Simulator apps.

About

The ios-ettrace-performance skill captures focused, symbolicated ETTrace profiles from iOS Simulator apps. The workflow picks one user-visible flow, builds the exact simulator binary, temporarily links ETTrace.xcframework into the app target, collects UUID-matched dSYMs, captures one launch or runtime trace, and preserves processed output JSON before analysis. It installs the ettrace Homebrew runner, builds simulator frameworks from upstream ETTrace when needed, and gates analysis on complete symbolication for app-owned binaries. Launch traces use ettrace --simulator --launch while runtime flows perform one focused interaction then stop the runner. Processed output_<thread>.json files are copied immediately because later runs overwrite them, and analysis uses bundled analyze_flamegraph_json.py on fresh artifacts only. Reports include flow description, simulator details, top first-party stacks, symbol completeness, and caveats about simulator-only variance. Cleanup removes temporary ETTrace wiring unless the user requests otherwise. Use when profiling iOS Simulator launch or runtime latency with ETTrace flamegraphs.

  • Requires one focused flow with symbolication before drawing performance conclusions.
  • Links ETTrace.xcframework into the app target and collects matching dSYMs.
  • Preserves fresh output_<thread>.json files immediately after each capture.
  • Supports launch and runtime traces via ettrace --simulator with dSYM folder.
  • Analyzes only processed flamegraph JSON using analyze_flamegraph_json.py.

Ios Ettrace Performance by the numbers

  • 45 all-time installs (skills.sh)
  • +3 installs in the week ending Jul 26, 2026 (Skillselion tracking)
  • Ranked #608 of 1,039 Mobile Development skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
At a glance

ios-ettrace-performance capabilities & compatibility

Capabilities
ettrace framework linking for simulator builds · dsym collection and symbolication verification · launch and runtime trace capture · processed json preservation and analysis · hotspot reporting with simulator caveats
Use cases
testing · debugging
Platforms
macOS
From the docs

What ios-ettrace-performance says it does

Do not draw conclusions from an unsymbolicated flamegraph.
SKILL.md
One trace should correspond to one user-visible flow.
SKILL.md
npx skills add https://github.com/openai/plugins --skill ios-ettrace-performance

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Listed on Skillselion
Installs45
repo stars4.9k
Last updatedJuly 14, 2026
Repositoryopenai/plugins

How do I profile iOS Simulator app launch or runtime latency with ETTrace flamegraphs?

Capture symbolicated ETTrace profiles from iOS Simulator apps for launch or runtime latency analysis.

Who is it for?

iOS developers profiling simulator app performance for one focused launch or runtime flow.

Skip if: Skip for physical device profiling, API-only backends, or broad unstructured app usage traces.

When should I use this skill?

User asks to ETTrace profile, capture iOS simulator performance, or find CPU hotspots in an iOS app.

What you get

Preserved symbolicated flamegraph JSON, summary.txt hotspots, and a report with flow context and caveats.

Files

SKILL.mdMarkdownGitHub ↗

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

1. Pick one focused flow and write down the expected start and stop points. 2. Build the exact simulator app that will be installed and profiled. 3. Temporarily link ETTrace into that app target for simulator/debug profiling. 4. Collect UUID-matched dSYMs for the app executable and embedded dynamic frameworks. 5. Capture one launch or runtime trace. 6. Preserve the processed flamegraph JSON immediately after the run. 7. 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.xcframework if the repo already vendors one.
  • If none exists, build a simulator-only copy into RUN_DIR from 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.

Build a simulator framework when needed:

ETTRACE_TAG="${ETTRACE_TAG:-v1.1.0}" # Override to match the installed runner when Homebrew updates.
ETTRACE_SRC="$RUN_DIR/ETTrace-src"
if [ ! -d "$ETTRACE_SRC" ]; then
  git clone --depth 1 --branch "$ETTRACE_TAG" https://github.com/EmergeTools/ETTrace "$ETTRACE_SRC"
fi

rm -rf "$RUN_DIR/ETTrace-iphonesimulator.xcarchive" "$RUN_DIR/ETTrace.xcframework"
pushd "$ETTRACE_SRC" >/dev/null
xcodebuild archive \
  -scheme ETTrace \
  -archivePath "$RUN_DIR/ETTrace-iphonesimulator.xcarchive" \
  -sdk iphonesimulator \
  -destination 'generic/platform=iOS Simulator' \
  BUILD_LIBRARY_FOR_DISTRIBUTION=YES \
  INSTALL_PATH='Library/Frameworks' \
  SKIP_INSTALL=NO \
  CLANG_CXX_LANGUAGE_STANDARD=c++17

xcodebuild -create-xcframework \
  -framework "$RUN_DIR/ETTrace-iphonesimulator.xcarchive/Products/Library/Frameworks/ETTrace.framework" \
  -output "$RUN_DIR/ETTrace.xcframework"
popd >/dev/null

For Bazel apps, a temporary import usually looks like:

load("@rules_apple//apple:apple.bzl", "apple_dynamic_xcframework_import")

package(default_visibility = ["//visibility:public"])

apple_dynamic_xcframework_import(
    name = "ETTrace",
    xcframework_imports = glob(["ETTrace.xcframework/**"]),
)

For Xcode projects, temporarily add the simulator ETTrace.xcframework to the app target's Link Binary With Libraries / Embed Frameworks phases for the debug simulator build you are profiling, then remove that wiring after profiling.

Symbolication Gate

Do not draw conclusions from an unsymbolicated flamegraph. Before every capture, prepare a dSYM folder that includes the app dSYM and any embedded first-party dynamic framework dSYMs.

Collect dSYMs after the final build that produced the installed app:

SKILL_DIR="<absolute path to this loaded skill folder>"
APP="<path-to-built-simulator-App.app>"
DSYMS="$RUN_DIR/dsyms"

"$SKILL_DIR/scripts/collect_ios_dsyms.sh" \
  --app "$APP" \
  --out-dir "$DSYMS" \
  --search-root "$(dirname "$APP")" \
  --search-root "$PWD" \
  --extra-dsym "$RUN_DIR/ETTrace-iphonesimulator.xcarchive/dSYMs/ETTrace.framework.dSYM"

Add --require-framework <FrameworkName> for app-owned dynamic frameworks that must symbolicate; use --require-all-frameworks only when every embedded framework is app-owned or expected to have symbols. If the helper reports a missing required app or framework dSYM, rebuild the exact simulator app with dSYM generation before tracing, or add the build output directory that contains those dSYMs as another --search-root.

Verify important UUIDs before tracing when the report looks suspicious:

dwarfdump --uuid "$APP/$(/usr/libexec/PlistBuddy -c 'Print :CFBundleExecutable' "$APP/Info.plist")"
find "$DSYMS" -maxdepth 1 -type d -name '*.dSYM' -print -exec dwarfdump --uuid {} \;

After ETTrace exits, read its symbolication summary. Treat meaningful first-party "have library but no symbol" lines as a failed trace unless they are tiny noise. Unsymbolicated system-framework or ETTrace internal buckets are usually acceptable.

Capture

For launch traces:

cd "$RUN_DIR"
CAPTURE_MARKER="$RUN_DIR/.ettrace-capture-start"
: > "$CAPTURE_MARKER"
find "$RUN_DIR" -maxdepth 1 \( -name 'output.json' -o -name 'output_*.json' \) -delete
ettrace --simulator --launch --verbose --dsyms "$DSYMS"

Use --launch only when measuring startup or first render. The first launch connection can force quit the app; relaunch from the simulator home screen rather than Xcode if prompted. For first-launch-after-install traces, temporarily set ETTraceRunAtStartup=YES in the app Info.plist, then run ettrace --simulator and launch from the home screen.

For runtime flow traces:

cd "$RUN_DIR"
CAPTURE_MARKER="$RUN_DIR/.ettrace-capture-start"
: > "$CAPTURE_MARKER"
find "$RUN_DIR" -maxdepth 1 \( -name 'output.json' -o -name 'output_*.json' \) -delete
ettrace --simulator --verbose --dsyms "$DSYMS"

Start from a stable screen, start ETTrace, perform exactly one focused flow, wait until visible work is complete, then stop the runner. For wider attribution, add --multi-thread; otherwise start with the main thread.

In Codex, run ettrace with a TTY and answer prompts with write_stdin. Without a TTY, the runner can exit without a useful trace.

Preserve Outputs

The next ETTrace run can overwrite processed flamegraph files, so preserve fresh output_<thread-id>.json files immediately. Do not analyze a saved output.json; ETTrace also serves a viewer route with that name, and raw emerge-output/output.json files are not the processed flamegraph artifacts this workflow expects.

PRESERVED_DIR="$(mktemp -d "$RUN_DIR/run-$(date +%Y%m%d-%H%M%S).XXXXXX")"
: > "$PRESERVED_DIR/summary.txt"
if [ ! -e "$CAPTURE_MARKER" ]; then
  echo "error: capture marker missing; start a fresh ETTrace capture before preserving outputs" >&2
  exit 1
fi
find "$RUN_DIR" -maxdepth 1 -name 'output_*.json' -newer "$CAPTURE_MARKER" -print | while IFS= read -r json; do
  preserved="$PRESERVED_DIR/${json##*/}"
  cp "$json" "$preserved"
  {
    echo "## ${preserved##*/}"
    python3 "$SKILL_DIR/scripts/analyze_flamegraph_json.py" "$preserved"
  } >> "$PRESERVED_DIR/summary.txt"
done
if [ ! -s "$PRESERVED_DIR/summary.txt" ]; then
  echo "error: no fresh processed ETTrace output JSON found in $RUN_DIR" >&2
  exit 1
fi

Analyze only processed output_*.json files in RUN_DIR. Ignore output.json and raw emerge-output/output.json files unless debugging ETTrace itself. If the analyzer rejects the JSON shape, capture again with the Homebrew ETTrace runner and matching app-side ETTrace.xcframework tag instead of trying to interpret the rejected file.

Read The Profile

Start from run-*/summary.txt, then inspect processed JSON directly if needed.

Report:

  • exact flow, app build, simulator model/runtime, and run count
  • processed flamegraph JSON paths
  • top active leaves and inclusive first-party stacks with sample weights or percentages
  • whether symbols were complete for app-owned binaries
  • caveats such as first-run setup, simulator-only cost, network variance, or low sample count
  • before/after deltas only when the same flow was captured with comparable setup

Cleanup

Remove temporary ETTrace app wiring when profiling is complete unless the user asked to keep it. Keep or discard run artifacts based on the active task.

Related skills

FAQ

What does ios-ettrace-performance produce?

Preserved processed ETTrace output JSON, a summary.txt hotspot report, and flow-specific performance findings.

When should I use ios-ettrace-performance?

When profiling one iOS Simulator flow for launch or runtime latency with symbolicated ETTrace captures.

Is ios-ettrace-performance safe to install?

Review the Security Audits panel on this page before installing in production.

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