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.
npx skills add berkcangumusisik/claude-code-practices --skill mobile-deeplinkgit clone --depth 1 https://github.com/berkcangumusisik/claude-code-practicesWrote 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.
[](https://agentmods.dev/skills/berkcangumusisik/claude-code-practices/mobile-deeplink)<a href="https://agentmods.dev/skills/berkcangumusisik/claude-code-practices/mobile-deeplink"><img src="https://agentmods.dev/badge/skills/berkcangumusisik/claude-code-practices/mobile-deeplink/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.
<a href="https://agentmods.dev/skills/berkcangumusisik/claude-code-practices/mobile-deeplink"><img src="https://agentmods.dev/badge/skills/berkcangumusisik/claude-code-practices/mobile-deeplink.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00017 | $0.00323 |
| Opus 5 | $0.00009 | $0.00161 |
| Sonnet 5 | $0.00003 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
mobile-deeplink 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 9d 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.
What it actually says
Deep Link Setup
App scheme: $1 (e.g., myapp → myapp://)
- Detect navigation library:
cat package.json | grep -E '"@react-navigation"|"expo-router"|"react-native-navigation"'
cat app.json 2>/dev/null | grep -E "scheme\|intentFilters\|associatedDomains"
-
For Expo Router (file-based):
- Check
app.jsonforscheme - Review
app/directory structure for dynamic routes - Generate
app/+not-found.tsxif missing
- Check
-
For React Navigation:
- Review
linkingconfig - Ensure all screens are mapped
- Check for missing parameter types
- Review
-
Universal Links / App Links:
apple-app-site-associationfor iOSassetlinks.jsonfor Android- Generate templates for both
-
Testing:
# iOS Simulator
xcrun simctl openurl booted "$1://path/to/screen"
# Android Emulator
adb shell am start -W -a android.intent.action.VIEW -d "$1://path/to/screen"
- Generate a deeplink test matrix - all routes with test URLs.
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.
- 9d ago First seen · 45 lines · 17 tokens per session scan A 47e211c9973c
mobile-deeplink is a skill published in the GitHub repository berkcangumusisik/claude-code-practices (10 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 323 once invoked, about $0.0001 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.
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