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 Kasempiternal/axiom-v2 --skill ax-privacygit clone --depth 1 https://github.com/Kasempiternal/axiom-v2Wrote 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/kasempiternal/axiom-v2/ax-privacy)<a href="https://agentmods.dev/skills/kasempiternal/axiom-v2/ax-privacy"><img src="https://agentmods.dev/badge/skills/kasempiternal/axiom-v2/ax-privacy/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/kasempiternal/axiom-v2/ax-privacy"><img src="https://agentmods.dev/badge/skills/kasempiternal/axiom-v2/ax-privacy.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 | $0.00057 | $0.06155 |
| Opus 5 | $0.00028 | $0.03078 |
| Sonnet 5 | $0.00011 | $0.01231 |
| Haiku 4.5 | $0.00006 | $0.00615 |
Grade A, and why
ax-privacy 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 11d 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 — 742 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Privacy, Localization & App Integration
Quick Patterns
Privacy Manifest Setup
<!-- PrivacyInfo.xcprivacy -->
<key>NSPrivacyTracking</key>
<false/>
<key>NSPrivacyCollectedDataTypes</key>
<array><!-- Data types collected --></array>
<key>NSPrivacyAccessedAPITypes</key>
<array><!-- Required Reason APIs --></array>
Permission Request Flow
User triggers feature
+-- Show pre-permission education (your dialog)
+-- User taps "Continue"
+-- Show system permission dialog
+-- Granted --> open feature
+-- Denied --> show Settings prompt (never dead-end)
Just-in-Time Permission
@objc func takePhotoButtonTapped() {
showCameraEducation {
AVCaptureDevice.requestAccess(for: .video) { granted in
if granted { self.openCamera() }
else { self.showSettingsPrompt() }
}
}
}
String Catalog Localization
// SwiftUI -- auto-localizable
Text("Welcome to WWDC!")
Label("Thanks for shopping!", systemImage: "bag")
// Explicit with comment
let title = String(localized: "Settings", comment: "Tab bar item title")
// Deferred lookup
struct CardView: View {
let title: LocalizedStringResource
var body: some View { Text(title) }
}
Transferable Type Decision
Model conforms to Codable? --> CodableRepresentation
Custom binary format in memory? --> DataRepresentation
Large file on disk? --> FileRepresentation
Need fallback for simple types? --> ProxyRepresentation (add last)
Drag and Drop
// Make draggable
Text(profile.name).draggable(profile)
// Accept drops
Color.clear
.frame(width: 200, height: 200)
.contentShape(Rectangle())
.dropDestination(for: Profile.self) { profiles, location in
guard let profile = profiles.first else { return false }
self.droppedProfile = profile
return true
}
App Discoverability (6-Step Strategy)
1. App Intents -- expose actions to Siri/Shortcuts
2. App Shortcuts -- instant availability, suggested phrases
3. Core Spotlight -- index searchable content
4. NSUserActivity -- mark high-value screens
5. Clear metadata -- action-oriented titles/descriptions
6. Usage boosting -- promote with SiriTipView, let system learn
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.
- 11d ago First seen · 742 lines · 57 tokens per session scan A aaa1492e6d74
ax-privacy is a skill published in the GitHub repository Kasempiternal/axiom-v2 (4 stars, last pushed 6mo ago), licensed MIT. It adds 57 tokens to every session and 6,155 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 2026-08-31.
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