ios-ettrace-performance

ios-ettrace-performance is a skill for Codex from ProjectKumo/KumoApp. It costs 73 tokens per session (2,230 once invoked), scanned C, original, AGPL-3.0.

A workflow for capturing and interpreting ETTrace performance profiles for iOS simulator apps. ETTrace records where the app spends time so those code paths can be inspected in flamegraphs.

In plain words
What is it for?
Use it to profile simulator app flows, capture symbolicated launch or runtime traces, find CPU-heavy stacks, compare profiles before and after a change, and produce flamegraph evidence.
Why use it?
It replaces guesses about slow startup, scrolling, or runtime behavior with profile evidence. Symbolication makes the recorded stacks readable as app code rather than raw addresses.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

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/projectkumo/kumoapp/ios-ettrace-performance
Any agent
npx skills add ProjectKumo/KumoApp --skill ios-ettrace-performance
Clone the repo
git clone --depth 1 https://github.com/ProjectKumo/KumoApp

Made for: Codex.

Wrote 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.

agentmods badge for ios-ettrace-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/projectkumo/kumoapp/ios-ettrace-performance.svg)](https://agentmods.dev/skills/projectkumo/kumoapp/ios-ettrace-performance)
Your own site
<a href="https://agentmods.dev/skills/projectkumo/kumoapp/ios-ettrace-performance"><img src="https://agentmods.dev/badge/skills/projectkumo/kumoapp/ios-ettrace-performance.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,230 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 5.1 $0.00073 $0.02230
Opus 5 $0.00036 $0.01115
Sonnet 5 $0.00015 $0.00446
Haiku 4.5 $0.00007 $0.00223

Measured 6d ago against content hash a5ed95b19c3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 6d 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"
.agents/skills/ios-ettrace-performance/SKILL.md · 198 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 6d ago First seen · 198 lines · 73 tokens per session scan C a5ed95b19c3f

Subscribe to this mod's changes

ios-ettrace-performance is a skill published in the GitHub repository ProjectKumo/KumoApp (280 stars, last pushed 3mo ago), licensed AGPL-3.0. It adds 73 tokens to every session and 2,230 once invoked, about $0.0004 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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