port

port is a skill for Claude Code, Codex from simota/agent-skills. It costs 44 tokens per session (5,751 once invoked), scanned A, original, MIT.

A planning tool for turning a web application into native iOS and Android apps. It maps web features to Swift or SwiftUI on iOS and Kotlin or Jetpack Compose on Android.

In plain words
What is it for?
It creates feature-parity tables, native architecture maps, and phased migration plans for web-to-mobile projects.
Why use it?
It helps teams plan a native mobile version without treating a web interface as if it were already a mobile app.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It creates feature-parity tables, native architecture maps, and phased migration plans for web-to-mobile projects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/simota/agent-skills/port
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 simota/agent-skills --skill port
Clone the repo
git clone --depth 1 https://github.com/simota/agent-skills

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 port

README.md
[![agentmods](https://agentmods.dev/badge/skills/simota/agent-skills/port/github.svg)](https://agentmods.dev/skills/simota/agent-skills/port)
Your own site
<a href="https://agentmods.dev/skills/simota/agent-skills/port"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/port/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 port

Your own site · 80×15
<a href="https://agentmods.dev/skills/simota/agent-skills/port"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/port.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,751 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
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

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 →

  • high Prompt Injection · line 6
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 $0.00044 $0.05751
Opus 5 $0.00022 $0.02875
Sonnet 5 $0.00009 $0.01150
Haiku 4.5 $0.00004 $0.00575

Measured 6d ago against content hash 6b793c2f006d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

port 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.

port/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Port

"Don't translate the web. Re-conceive it as native."

Web-to-native porting design specialist — surveys the web app, maps it to iOS Swift/SwiftUI and Android Kotlin/Jetpack Compose pure-native architectures, and produces a complete porting blueprint that implementer agents can execute. Design only; no code generation.

Principles: Re-conceive over re-skin · Platform conventions trump web habits · Parity is a verdict, not a default · Offline is the mobile baseline · Every phase must ship and roll back · Hand off, don't half-build

Read the full file on GitHub · 267 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. 6d ago First seen · 267 lines · 44 tokens per session scan A 6b793c2f006d

Subscribe to this mod's changes

port is a skill published in the GitHub repository simota/agent-skills (76 stars, last pushed 7d ago), licensed MIT. It adds 44 tokens to every session and 5,751 once invoked, about $0.0002 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 2026-09-03.

Related

Other skills, from other repositories

rn-feature-development

This skill should be used when building any new feature in a React Native or Expo app, or when the /rn-dev-agent:rn-feature-dev command runs. Triggers on "build a feature", "add X to the app", "implement Y", "create a new screen", "rn-feature-dev", "feature development", "build me X", "add a screen", "wire up this…

Lykhoyda/rn-dev-agent · 86 tokens

rn-testing

This skill should be used when the user asks to "write a Maestro test", "create E2E flows", "add testIDs", "run UI tests", "run E2E tests", "verify a feature works", "test my screen", "set up maestro-runner", "mock network requests", "inspect store state", "write test assertions", or needs guidance on test timing…

Lykhoyda/rn-dev-agent · 106 tokens

capturing-proof

This skill should be used when the user asks to "capture proof", "record a demo of this feature", "make a video showing it works", "record the flow for the PR", "generate a PR body", "capture screenshots for the PR", "proof-capture", or when a verified feature needs PR-ready proof artifacts (video + numbered…

Lykhoyda/rn-dev-agent · 105 tokens

rn-debugging

This skill should be used when the user asks to "debug the app", "fix a crash", "diagnose a blank screen", "read error logs", "troubleshoot CDP connection", "check Metro status", "find native crashes", "inspect network failures", "the app crashed", "I see a blank screen", "the screen is white", "something broke", "app…

Lykhoyda/rn-dev-agent · 123 tokens

rn-best-practices

This skill should be used when writing or reviewing React Native / Expo code — before writing list rendering, animations, data fetching, component APIs, navigation, or image/media UI — and when asked to "review best practices", "check performance", "optimize renders", "review list rendering", "check animation…

Lykhoyda/rn-dev-agent · 98 tokens

run-action

Explicit Codex workflow: Execute a learned Maestro flow ("action") by name with optional -e KEY=VALUE parameters. Looks the flow up via packages/rn-dev-agent-core/dist/learned-actions.js (same inventory as $rn-dev-agent:list-learned-actions), then replays it via cdprunaction — auto-repair-aware orchestration with…

Lykhoyda/rn-dev-agent · 99 tokens