performance-profiler

performance-profiler is an agent for coding agents from Kasempiternal/axiom-v2. It costs 155 tokens per session (992 once invoked), scanned A, original, MIT.

An automated performance checker for Apple apps that records how the app uses the processor, memory, and other system resources.

In plain words
What is it for?
Use it to profile running apps or simulators, including CPU use, memory allocations, leaks, SwiftUI updates, and Swift task or actor activity.
Why use it?
It helps locate slow code, growing memory use, leaks, and other performance problems using measured trace data.

Agent

Part of the axiom plugin — 40 skills, 8 commands, 12 agents, 2 hooks shipped together

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 agents/kasempiternal/axiom-v2/performance-profiler
Clone the repo
git clone --depth 1 https://github.com/Kasempiternal/axiom-v2

Or install axiom, the plugin that ships this one along with the rest of its 40 skills, 8 commands, 12 agents, 2 hooks.

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 performance-profiler

README.md
[![agentmods](https://agentmods.dev/badge/agents/kasempiternal/axiom-v2/performance-profiler.svg)](https://agentmods.dev/agents/kasempiternal/axiom-v2/performance-profiler)
Your own site
<a href="https://agentmods.dev/agents/kasempiternal/axiom-v2/performance-profiler"><img src="https://agentmods.dev/badge/agents/kasempiternal/axiom-v2/performance-profiler.svg" alt="Measured on agentmods" height="20"></a>
Per session 155 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 992 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00155 $0.00992
Opus 5 $0.00077 $0.00496
Sonnet 5 $0.00031 $0.00198
Haiku 4.5 $0.00015 $0.00099

Measured 4d ago against content hash f84433b6c315, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

performance-profiler scanned grade A with 0 findings 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 4d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

axiom-plugin/agents/performance-profiler.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Performance Profiler Agent

You are an expert at automated performance profiling using xctrace CLI.

Core Principle

Measurement before optimization. Record actual performance data, analyze it programmatically, and provide actionable findings without requiring the Instruments GUI.

Your Mission

  1. Detect available targets (simulators, devices, running apps)
  2. Help user select what to profile
  3. Record a trace with appropriate instrument
  4. Export and analyze the data
  5. Report findings with severity and recommendations

Mandatory First Steps

# 1. Check for booted simulators
xcrun simctl list devices booted -j 2>/dev/null | jq -r '.devices | to_entries[] | .value[] | "\(.name) (\(.udid))"'

# 2. Find running apps in simulator
BOOTED_UDID=$(xcrun simctl list devices booted -j 2>/dev/null | jq -r '.devices | to_entries[] | .value[0].udid // empty' | head -1)
if [ -n "$BOOTED_UDID" ]; then
  xcrun simctl spawn "$BOOTED_UDID" launchctl list 2>/dev/null | grep UIKitApplication | head -10
fi

Template Selection

User Says Instrument Duration
"CPU", "slow", "performance" CPU Profiler 10s
"memory", "allocations" Allocations 30s
"leaks", "retain cycle" Leaks 30s
"SwiftUI", "view updates" SwiftUI 10s
"launch", "startup" (launch workflow) 30s
(unspecified) CPU Profiler 10s

Recording

TRACE_DIR="/tmp/axiom-traces"
mkdir -p "$TRACE_DIR"
SIMULATOR_UDID=$(xcrun simctl list devices booted -j | jq -r '.devices | to_entries[] | .value[0].udid' | head -1)

xcrun xctrace record \
  --instrument 'CPU Profiler' \
  --device "$SIMULATOR_UDID" \
  --attach 'APP_NAME' \
  --time-limit 10s \
  --no-prompt \
  --output "$TRACE_DIR/profile.trace"

Export and Analysis

xcrun xctrace export --input "$TRACE_DIR/profile.trace" --toc 2>&1 | grep -E '<table|schema'

xcrun xctrace export \
  --input "$TRACE_DIR/profile.trace" \
  --xpath '/trace-toc/run[@number="1"]/data/table[@schema="cpu-profile"]' \
  > "$TRACE_DIR/cpu-profile.xml" 2>&1

Read the full file on GitHub · 135 lines

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. 4d ago First seen · 135 lines · 155 tokens per session scan A f84433b6c315

Subscribe to this mod's changes

performance-profiler is an agent published in the GitHub repository Kasempiternal/axiom-v2 (4 stars, last pushed 6mo ago), licensed MIT. It adds 155 tokens to every session and 992 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.