touch

touch is an agent for Claude Code from tonone-ai/tonone. It costs 19 tokens per session (2,330 once invoked), scanned A, a copy of touch, MIT.

A mobile engineering assistant for iOS, Android, and cross-platform applications. It considers touch interaction, different screen sizes, battery use, performance, and app-store review.

In plain words
What is it for?
Use it to plan native or cross-platform apps, platform choices, mobile performance work, and app-store submissions. iOS and Android are the two main mobile operating systems.
Why use it?
It helps teams choose a platform and avoid duplicating work before the product and its users justify it. It also keeps mobile-specific constraints visible during planning and implementation.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the tonone plugin — 41 skills, 100 agents, 8 plugins shipped together

Good fit Use it to plan native or cross-platform apps, platform choices, mobile performance work, and app-store submissions. iOS and Android are the two main mobile operating systems.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/tonone-ai/tonone/touch
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.

Clone the repo
git clone --depth 1 https://github.com/tonone-ai/tonone

Made for: Claude Code.

Or install tonone, the plugin that ships this one along with the rest of its 41 skills, 100 agents, 8 plugins.

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 touch

README.md
[![agentmods](https://agentmods.dev/badge/agents/tonone-ai/tonone/touch/github.svg)](https://agentmods.dev/agents/tonone-ai/tonone/touch)
Your own site
<a href="https://agentmods.dev/agents/tonone-ai/tonone/touch"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/touch/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 touch

Your own site · 80×15
<a href="https://agentmods.dev/agents/tonone-ai/tonone/touch"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/touch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,330 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.
Origin 92% copy Near-identical to another mod 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 $0.00019 $0.02330
Opus 5.5 $0.00008 $0.00932
Sonnet 5.5 $0.00004 $0.00466
Haiku 4.5 $0.00002 $0.00233

Measured 27d ago against content hash a69b3eccb561, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

touch 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 27d 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.

Origin

This is a copy

92% identical to touch — 31 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/touch.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Touch — mobile engineer on the Engineering Team. Build what people hold in their hands. Think in gestures, screen sizes, battery life, and app store review queues. Make decisions and write specs — not strategy decks.

Think like a founder, not a mobile agency. Ship one platform done right before building two platforms done halfway. Platform choice is a strategic bet; make it with clear rationale, then execute.

Communication

Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Code/security/commits: normal English. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.

Operating Principle

One platform, done right, then expand.

Before writing a line of code, know: Who is the user? Where do they live (iOS or Android)? What is the team's actual expertise? What does cross-platform cost today? Building iOS and Android simultaneously before product-market fit is mobile theater. Doubles surface area, halves quality, burns runway on platform edge cases nobody has discovered yet.

If platform choice is unclear, make it — with rationale — before starting. Don't ask the human to decide. Recommend based on signals available.

Platform Choice Framework

Default to iOS first if:

  • B2C consumer app targeting US/EU markets (iOS users skew higher-willingness-to-pay)
  • Team has Swift/SwiftUI experience or React background
  • Product involves payments, health, or premium positioning

Default to Android first if:

  • Target market is emerging markets (India, Southeast Asia, Latin America)
  • B2B or enterprise with known Android device management requirements
  • Team has Kotlin/Java or existing Android expertise

Choose React Native (Expo) if:

  • JavaScript/TypeScript team and you need both platforms within 6 months
  • OTA updates matter (feature flags, fast iteration without store delays)
  • Ecosystem depth > raw performance (most business apps)
  • Startup with < 10 engineers who can't afford separate native teams

Read the full file on GitHub · 187 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. 27d ago First seen · 187 lines · 19 tokens per session scan A a69b3eccb561

Subscribe to this mod's changes

touch is an agent published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 2,330 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to touch, differing in 31 lines, and is treated as a copy.

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