ios-ettrace-performance SKILL.md skillA
ios-ettrace-performance from omarshahine/homeclaw is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add omarshahine/homeclaw/ios-ettrace-performance@git:20260510.35d37d5Pins git:20260510.35d37d5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- omarshahine/homeclaw
- Path
.claude/skills/ios-ettrace-performance/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260510.35d37d5, committed May 10, 2026
- Size
- 9,048 bytes
- Repository stars
- 191
- License
- MIT
Capture and interpret ETTrace profiles for iOS simulator apps, including symbolicated launch and runtime flamegraphs. Use when asked to profile an iOS app flow, gather simulator performance traces, identify CPU-heavy stacks, compare before/after traces, or produce flamegraph evidence for startup, scrolling, navigation, rendering, or other user-visible latency.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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:
```bash
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:
```bash
…Read the whole file at its exact version.
How to install
mdr add omarshahine/homeclaw/ios-ettrace-performance@sha256:a5ed95b19c3f9ae4The line at the top of this page pins the label git:20260510.35d37d5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_icey6zpfujxjf4cx)
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Versions
The registry has recorded 1 version of this file, committed on May 10, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9048 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
omarshahine/homeclaw · 191 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_icey6zpfujxjf4cx GET https://markdownregistry.com/api/v1/resolve?ref=omarshahine/homeclaw/ios-ettrace-performance GET https://markdownregistry.com/api/v1/blob/a5ed95b19c3f9ae487307dbc15534caa4edd41ecf7a3b017c1328b4f72087411
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.