agentmods.dev

ios-ettrace-performance

A tool for collecting and reading ETTrace performance profiles from the iOS Simulator. An ETTrace profile records timing and CPU activity while an app runs.

In plain words
What is it for?
Use it to profile app launch time, investigate runtime latency, compare traces, or find code paths using substantial CPU time.
Why use it?
It helps locate slow startup or runtime work and compare performance between traces.

Skill for Claude CodeCodex

5.3k 4d ago C scan 32 tokens no licence
View the source file openai/plugins
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/openai/plugins/ios-ettrace-performance
Any agent
npx skills add openai/plugins --skill ios-ettrace-performance
Clone the repo
git clone --depth 1 https://github.com/openai/plugins

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,189 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin unknown 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 $0.00032 $0.02189
Opus 5 $0.00016 $0.01094
Sonnet 5 $0.00006 $0.00438
Haiku 4.5 $0.00003 $0.00219

Measured 2d ago against content hash 1888c0b2fc6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/analyze_flamegraph_json.py, scripts/collect_ios_dsyms.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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"
plugins/build-ios-apps/skills/ios-ettrace-performance/SKILL.md · 198 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 198 lines · 32 tokens per session scan C 1888c0b2fc6b

Subscribe to this mod's changes

ios-ettrace-performance is a skill published in the GitHub repository openai/plugins (5,275 stars, last pushed 4d ago), with no licence file. 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). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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