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-camera-capture-refgit 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-camera-capture-ref)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-camera-capture-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-camera-capture-ref/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-camera-capture-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-camera-capture-ref.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 | $0.00047 | $0.04672 |
| Opus 5 | $0.00023 | $0.02336 |
| Sonnet 5 | $0.00009 | $0.00934 |
| Haiku 4.5 | $0.00005 | $0.00467 |
Grade A, and why
axiom-camera-capture-ref 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.
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 — 781 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Camera Capture API Reference
Quick Reference
// SESSION SETUP
import AVFoundation
let session = AVCaptureSession()
let sessionQueue = DispatchQueue(label: "camera.session")
sessionQueue.async {
session.beginConfiguration()
session.sessionPreset = .photo
guard let camera = AVCaptureDevice.default(.builtInWideAngleCamera, for: .video, position: .back),
let input = try? AVCaptureDeviceInput(device: camera),
session.canAddInput(input) else { return }
session.addInput(input)
let photoOutput = AVCapturePhotoOutput()
if session.canAddOutput(photoOutput) {
session.addOutput(photoOutput)
}
session.commitConfiguration()
session.startRunning()
}
// CAPTURE PHOTO
var settings = AVCapturePhotoSettings()
settings.photoQualityPrioritization = .balanced
photoOutput.capturePhoto(with: settings, delegate: self)
// ROTATION (iOS 17+)
let coordinator = AVCaptureDevice.RotationCoordinator(device: camera, previewLayer: previewLayer)
previewLayer.connection?.videoRotationAngle = coordinator.videoRotationAngleForHorizonLevelPreview
AVCaptureSession
Central coordinator for capture data flow.
Session Presets
| Preset | Resolution | Use Case |
|---|---|---|
.photo |
Optimal for photos | Photo capture |
.high |
Highest device quality | Video recording |
.medium |
VGA quality | Preview, lower storage |
.low |
CIF quality | Minimal storage |
.hd1280x720 |
720p | HD video |
.hd1920x1080 |
1080p | Full HD video |
.hd4K3840x2160 |
4K | Ultra HD video |
.inputPriority |
Use device format | Custom configuration |
Session Configuration
// Batch configuration (atomic)
session.beginConfiguration()
defer { session.commitConfiguration() }
// Check preset support
if session.canSetSessionPreset(.hd4K3840x2160) {
session.sessionPreset = .hd4K3840x2160
}
// Add input/output
if session.canAddInput(input) {
session.addInput(input)
}
if session.canAddOutput(output) {
session.addOutput(output)
}
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.
- 7d ago First seen · 781 lines · 47 tokens per session scan A 2130b3c989b6
axiom-camera-capture-ref is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 4,672 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.
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