expo-ios-hig-verify

expo-ios-hig-verify is a skill for Claude Code, Codex from pproenca/dot-skills. It costs 134 tokens per session (1,150 once invoked), scanned A, original, MIT.

A read-only checker for Expo and React Native iOS projects. It scans the code for patterns that can make an app feel unlike iOS and reports each issue with its file and line, severity, and the related rule.

In plain words
What is it for?
It is for auditing iOS interface code for issues such as non-native navigation, hardcoded colors, disabled text scaling, unsupported gesture handling, and lists that are not optimized for large data sets.
Why use it?
It provides a repeatable review before merging or shipping and points developers to the exact locations that need attention without modifying the project.

Skill for Claude CodeCodex

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

Good fit It is for auditing iOS interface code for issues such as non-native navigation, hardcoded colors, disabled text scaling, unsupported gesture handling, and lists that are not optimized for large data sets.

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Install with agentmods
npx agentmods add skills/pproenca/dot-skills/expo-ios-hig-verify
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 pproenca/dot-skills --skill expo-ios-hig-verify
Clone the repo
git clone --depth 1 https://github.com/pproenca/dot-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 expo-ios-hig-verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/pproenca/dot-skills/expo-ios-hig-verify/github.svg)](https://agentmods.dev/skills/pproenca/dot-skills/expo-ios-hig-verify)
Your own site
<a href="https://agentmods.dev/skills/pproenca/dot-skills/expo-ios-hig-verify"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/expo-ios-hig-verify/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 expo-ios-hig-verify

Your own site · 80×15
<a href="https://agentmods.dev/skills/pproenca/dot-skills/expo-ios-hig-verify"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/expo-ios-hig-verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 134 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,150 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 pass 7 Sept 2026
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 $0.00134 $0.01150
Opus 5 $0.00067 $0.00575
Sonnet 5 $0.00027 $0.00230
Haiku 4.5 $0.00013 $0.00115

Measured 7d ago against content hash 351e78c99564, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

expo-ios-hig-verify 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/verify-hig.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.

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.

skills/.experimental/expo-ios-hig-verify/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Expo iOS HIG Verifier

A read-only static checker that scans an Expo (React Native) project for violations of the expo-ios-hig rules and reports them grouped by severity, with file:line locations and links to the rule that explains the fix. It is the automated counterpart to the expo-ios-hig reference skill: that skill teaches the rules; this one checks them.

When to Apply

Run this skill when:

  • The user asks to check, lint, audit, or review an Expo app for HIG compliance or native feel
  • Before merging or shipping Expo iOS UI changes, as a quality gate
  • After scaffolding new screens, to confirm they stay native
  • Investigating why an Expo app "feels like a web wrapper" or "feels like Android"

It is read-only — it never modifies the target project, so it is safe to run unsupervised.

Workflow Overview

verify-hig.sh [project-dir]
  1. Resolve search roots (app/ src/ components/ by default, or config.json)
  2. Run static checks — one per detectable expo-ios-hig rule (rg, or grep fallback)
  3. Aggregate findings: severity, rule, message, file:line
  4. Print grouped report (ERRORS then ADVISORIES) with a link to each rule
  5. Exit 0 if clean, 1 if any ERROR (with --strict, advisories fail too)

Run it:

bash scripts/verify-hig.sh /path/to/expo-app          # text report
bash scripts/verify-hig.sh /path/to/expo-app --strict # advisories also fail
bash scripts/verify-hig.sh /path/to/expo-app --json   # machine-readable

Checks

ERRORS are high-precision (import and literal-flag matches, low false positives). ADVISORIES are heuristics that warrant a look but don't fail the run unless --strict.

Severity Rule Detects
ERROR native-avoid-material-ui react-native-paper, @react-native-material/*, @rneui/*, react-native-elements imports
ERROR nav-native-stack @react-navigation/stack / createStackNavigator
ERROR touch-gesture-handler-thread PanResponder
ERROR touch-pressable-feedback TouchableWithoutFeedback
ERROR acc-dynamic-type allowFontScaling={false}
ERROR motion-ui-thread-animation useNativeDriver: false
ADVISORY nav-native-tabs createBottomTabNavigator (JS tab bar)
ADVISORY visual-semantic-colors hardcoded hex in color:/backgroundColor:/borderColor:/tintColor:
ADVISORY visual-system-font custom fontFamily:
ADVISORY system-status-bar hardcoded StatusBar style="dark"/"light"
ADVISORY motion-virtualized-lists a file using both <ScrollView> and .map(

Read the full file on GitHub · 79 lines

Files

What ships with it

5 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. 7d ago First seen · 79 lines · 134 tokens per session scan A 351e78c99564

Subscribe to this mod's changes

expo-ios-hig-verify is a skill published in the GitHub repository pproenca/dot-skills (207 stars, last pushed 26d ago), licensed MIT. It adds 134 tokens to every session and 1,150 once invoked, about $0.0007 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.

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