argent-react-native-profiler

argent-react-native-profiler is a skill for Claude Code, Codex from software-mansion/argent. It costs 57 tokens per session (3,193 once invoked), scanned A, original, Apache-2.0.

A set of profiling tools for React Native apps that use Hermes, the JavaScript engine commonly used by React Native.

In plain words
What is it for?
Use it to record and analyze CPU activity and React commits, inspect live render counts, view the component tree, locate component source code, and produce a ranked performance report.
Why use it?
It helps identify slow components, excessive re-rendering, and CPU-heavy work by measuring how the app renders and runs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to record and analyze CPU activity and React commits, inspect live render counts, view the component tree, locate component source code, and produce a ranked performance report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/software-mansion/argent/argent-react-native-profiler
About the project

Argent is a toolkit that lets an AI assistant control and inspect iOS, Android, TV, Electron, and Chromium applications through simulators, emulators, physical devices, or desktop connections. It is for developers who want an agent to interact with interfaces, reproduce issues, test features, debug applications, or run profiling tasks. The catalogue add-ons expose Argent's device-control and development workflows to coding agents.

software-mansion/argent · 3,059 stars · on GitHub · argent.swmansion.com

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.

Any agent
npx skills add software-mansion/argent --skill argent-react-native-profiler
Clone the repo
git clone --depth 1 https://github.com/software-mansion/argent

Made for: Claude Code, 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 argent-react-native-profiler

README.md
[![agentmods](https://agentmods.dev/badge/skills/software-mansion/argent/argent-react-native-profiler/github.svg)](https://agentmods.dev/skills/software-mansion/argent/argent-react-native-profiler)
Your own site
<a href="https://agentmods.dev/skills/software-mansion/argent/argent-react-native-profiler"><img src="https://agentmods.dev/badge/skills/software-mansion/argent/argent-react-native-profiler/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for argent-react-native-profiler

Your own site · 80×15
<a href="https://agentmods.dev/skills/software-mansion/argent/argent-react-native-profiler"><img src="https://agentmods.dev/badge/skills/software-mansion/argent/argent-react-native-profiler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,193 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 14 Oct 2026
  • Snyk pass 14 Oct 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 8 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 14
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 16
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 17
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 19
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 20
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 21
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 22
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 26
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
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 5.1 $0.00057 $0.03193
Opus 5.5 $0.00023 $0.01277
Sonnet 5.5 $0.00011 $0.00639
Haiku 4.5 $0.00006 $0.00319

Measured 6d ago against content hash fd43c418462f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

argent-react-native-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 6d 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.

packages/skills/skills/argent-react-native-profiler/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill is complementary to argent-react-native-optimization, not a replacement for it.

Physical iPhone: not supported; react-profiler-* reject kind: "device". Profile on a simulator.

2. Tool Overview

React Profiler (Hermes / React commits)

Tool Purpose
react-profiler-start Start CPU sampling + inject React commit-capture hook. Optional: sample_interval_us (default 100).
react-profiler-stop Stop recording; stores cpuProfile + commitTree in session.
react-profiler-status Call if you were interrupted in the middle of the flow, never in another scenario (debugger drop, Metro reload, pause, subagent handoff, any doubt). Returns session_status: "active" | "taken_over" | "stopped" | "no_react_runtime". Side-effect free.
react-profiler-analyze Run pipeline -> report with CPU-enriched hot commits, sorted by totalRenderMs DESC. Saves raw data to disk.
react-profiler-component-source AST lookup: file, line, memoization status, 50 lines of source for a component.
react-profiler-renders Live fiber walk: render counts + durations per component (no profiling session required).
react-profiler-fiber-tree Live fiber walk: full component hierarchy as JSON.

Read the full file on GitHub · 167 lines

Files

What ships with it

1 file 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 Changed fd43c418462f
  2. 1mo ago Changed · +2 lines 138069210bbc
  3. 1mo ago First seen · 165 lines · 57 tokens per session scan A 808c2224e48a

Subscribe to this mod's changes

argent-react-native-profiler is a skill published in the GitHub repository software-mansion/argent (3,059 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 3,193 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

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