axiom-deep-link-debugging

axiom-deep-link-debugging is a skill for Claude Code, Codex from ComeOnOliver/skillshub. It costs 41 tokens per session (3,758 once invoked), scanned A, original, MIT.

A guide to debug-only deep links, which are special links used during development to open a particular screen or app state. It focuses on simulator navigation and automated testing without adding production deep-link behavior.

In plain words
What is it for?
Use it to open screens from simulator commands, prepare app states for automated tests, and support repeatable screenshot workflows.
Why use it?
It removes the need to tap through several screens whenever you need to test a flow or capture a screenshot.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; mentions Claude Code.

Good fit Use it to open screens from simulator commands, prepare app states for automated tests, and support repeatable screenshot workflows.

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Install with agentmods
npx agentmods add skills/comeonoliver/skillshub/axiom-deep-link-debugging
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 ComeOnOliver/skillshub --skill axiom-deep-link-debugging
Clone the repo
git clone --depth 1 https://github.com/ComeOnOliver/skillshub

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 axiom-deep-link-debugging

README.md
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Your own site
<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-deep-link-debugging"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-deep-link-debugging/github.svg" alt="Measured on agentmods" height="20"></a>

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Your own site · 80×15
<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-deep-link-debugging"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-deep-link-debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,758 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 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 $0.00041 $0.03758
Opus 5 $0.00020 $0.01879
Sonnet 5 $0.00008 $0.00752
Haiku 4.5 $0.00004 $0.00376

Measured 9d ago against content hash 63e101f258ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

axiom-deep-link-debugging 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.

skills/CharlesWiltgen/Axiom/axiom-deep-link-debugging/SKILL.md · 646 lines

How it starts

The opening of the file, as written. The whole thing — 646 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to Use This Skill

Use when:

  • Adding debug-only deep links for simulator testing
  • Enabling automated navigation to specific screens for screenshot/testing
  • Integrating with simulator-tester agent or /axiom:screenshot
  • Need to navigate programmatically without production deep link implementation
  • Testing navigation flows without manual tapping

Do NOT use for:

  • Production deep linking (use axiom-swiftui-nav skill instead)
  • Universal links or App Clips
  • Complex routing architectures

Example Prompts

1. "Claude Code can't navigate to specific screens for testing"

→ Add debug-only URL scheme to enable xcrun simctl openurl navigation

2. "I want to take screenshots of different screens automatically"

→ Create debug deep links for each screen, callable from simulator

3. "Automated testing needs to set up specific app states"

→ Add debug links that navigate AND configure state


If you're experiencing ANY of these, add debug deep links:

Testing friction:

  • ❌ "I have to manually tap through 5 screens to test this feature"
  • ❌ "Screenshot capture can't show the screen I need to debug"
  • ❌ "Automated tests can't reach the error state without complex setup"

Debugging inefficiency:

  • ❌ "I make a fix, rebuild, manually navigate, check — takes 3 minutes per iteration"
  • ❌ "Can't visually verify fixes because Claude Code can't navigate there"

Solution: Add debug deep links that let you (and Claude Code) jump directly to any screen with any state configuration.


Implementation

Pattern 1: Basic Debug URL Scheme (SwiftUI)

Add a debug-only URL scheme that routes to screens.

import SwiftUI

struct MyApp: App {
    var body: some Scene {
        WindowGroup {
            ContentView()
                #if DEBUG
                .onOpenURL { url in
                    handleDebugURL(url)
                }
                #endif
        }
    }

    #if DEBUG
    private func handleDebugURL(_ url: URL) {
        guard url.scheme == "debug" else { return }

        // Route based on host
        switch url.host {
        case "settings":
            // Navigate to settings
            NotificationCenter.default.post(
                name: .navigateToSettings,
                object: nil
            )

        case "profile":
            // Navigate to profile
            let userID = url.queryItems?["id"] ?? "current"
            NotificationCenter.default.post(
                name: .navigateToProfile,
                object: userID
            )

        case "reset":
            // Reset app to initial state
            resetApp()

        default:
            print("⚠️ Unknown debug URL: \(url)")
        }
    }
    #endif
}

#if DEBUG
extension Notification.Name {
    static let navigateToSettings = Notification.Name("navigateToSettings")
    static let navigateToProfile = Notification.Name("navigateToProfile")
}

extension URL {
    var queryItems: [String: String]? {
        guard let components = URLComponents(url: self, resolvingAgainstBaseURL: false),
              let items = components.queryItems else {
            return nil
        }
        return Dictionary(uniqueKeysWithValues: items.map { ($0.name, $0.value ?? "") })
    }
}
#endif

Read the full file on GitHub · 646 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. 9d ago First seen · 646 lines · 41 tokens per session scan A 63e101f258ab

Subscribe to this mod's changes

axiom-deep-link-debugging is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 3,758 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.