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 ComeOnOliver/skillshub --skill axiom-app-discoverabilitygit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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/comeonoliver/skillshub/axiom-app-discoverability)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-app-discoverability"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-app-discoverability/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/comeonoliver/skillshub/axiom-app-discoverability"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-app-discoverability.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 | $0.00056 | $0.04174 |
| Opus 5 | $0.00028 | $0.02087 |
| Sonnet 5 | $0.00011 | $0.00835 |
| Haiku 4.5 | $0.00006 | $0.00417 |
Grade A, and why
axiom-app-discoverability 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.
How it starts
The opening of the file, as written. The whole thing — 544 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Discoverability
Overview
Core principle Feed the system metadata across multiple APIs, let the system decide when to surface your app.
iOS surfaces apps in Spotlight, Siri suggestions, and system experiences based on metadata you provide through App Intents, App Shortcuts, Core Spotlight, and NSUserActivity. The system learns from actual usage and boosts frequently-used actions. No single API is sufficient—comprehensive discoverability requires a multi-API strategy.
Key insight iOS boosts shortcuts and activities that users actually invoke. If nobody uses an intent, the system hides it. Provide clear, action-oriented metadata and the system does the heavy lifting.
When to Use This Skill
Use this skill when:
- Making your app appear in Spotlight search results
- Enabling Siri to suggest your app in relevant contexts
- Adding app actions to Action Button (iPhone/Apple Watch Ultra)
- Making app content discoverable system-wide
- Planning discoverability architecture before implementation
- Troubleshooting "why isn't my app being suggested?"
Do NOT use this skill when:
- You need detailed API reference (use app-intents-ref, axiom-app-shortcuts-ref, axiom-core-spotlight-ref)
- You're implementing a specific API (use the reference skills)
- You just want to add a single App Intent (use app-intents-ref)
The 6-Step Discoverability Strategy
This is a proven strategy from developers who've implemented discoverability across multiple production apps. Implementation time: One evening for minimal viable discoverability.
Step 1: Add App Intents
App Intents power Spotlight search, Siri requests, and Shortcut suggestions. Without AppIntents, your app will never surface meaningfully.
struct OrderCoffeeIntent: AppIntent {
static var title: LocalizedStringResource = "Order Coffee"
static var description = IntentDescription("Orders coffee for pickup")
@Parameter(title: "Coffee Type")
var coffeeType: CoffeeType
@Parameter(title: "Size")
var size: CoffeeSize
func perform() async throws -> some IntentResult {
try await CoffeeService.shared.order(type: coffeeType, size: size)
return .result(dialog: "Your \(size) \(coffeeType) is ordered")
}
}
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 · 544 lines · 56 tokens per session scan A 7713b3a4ef39
axiom-app-discoverability is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 4,174 once invoked, about $0.0003 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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