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-visiongit 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-vision)<a href="https://agentmods.dev/skills/kasempiternal/axiom-v2/ax-vision"><img src="https://agentmods.dev/badge/skills/kasempiternal/axiom-v2/ax-vision/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-vision"><img src="https://agentmods.dev/badge/skills/kasempiternal/axiom-v2/ax-vision.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 | $0.00040 | $0.03047 |
| Opus 5.5 | $0.00016 | $0.01219 |
| Sonnet 5.5 | $0.00008 | $0.00609 |
| Haiku 4.5 | $0.00004 | $0.00305 |
Grade A, and why
ax-vision 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 1mo 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vision Framework — Computer Vision
Quick Patterns
Subject Segmentation (iOS 17+)
let request = VNGenerateForegroundInstanceMaskRequest()
let handler = VNImageRequestHandler(cgImage: image)
try handler.perform([request])
guard let obs = request.results?.first as? VNInstanceMaskObservation else { return }
let mask = try obs.createScaledMask(for: obs.allInstances, croppedToInstancesContent: false)
VisionKit Subject Lifting (iOS 16+)
let interaction = ImageAnalysisInteraction()
interaction.preferredInteractionTypes = .imageSubject
imageView.addInteraction(interaction)
Hand Pose Detection (iOS 14+)
let request = VNDetectHumanHandPoseRequest()
request.maximumHandCount = 2
try handler.perform([request])
let thumbTip = try observation.recognizedPoint(.thumbTip) // 21 landmarks per hand
Text Recognition (OCR)
let request = VNRecognizeTextRequest()
request.recognitionLevel = .accurate // or .fast for real-time
request.recognitionLanguages = ["en-US"]
try handler.perform([request])
for obs in request.results as? [VNRecognizedTextObservation] ?? [] {
let text = obs.topCandidates(1).first?.string
}
Barcode/QR Detection
let request = VNDetectBarcodesRequest()
request.symbologies = [.qr, .ean13] // specify only what you need
try handler.perform([request])
for barcode in request.results as? [VNBarcodeObservation] ?? [] {
let payload = barcode.payloadStringValue
}
DataScannerViewController (iOS 16+ live camera)
let scanner = DataScannerViewController(
recognizedDataTypes: [.barcode(symbologies: [.qr]), .text(textContentType: .URL)],
qualityLevel: .balanced, recognizesMultipleItems: false,
isHighFrameRateTrackingEnabled: true, isGuidanceEnabled: true
)
scanner.delegate = self
present(scanner, animated: true) { try? scanner.startScanning() }
Document Scanning
// Built-in UI: VNDocumentCameraViewController (iOS 13+)
// Programmatic: VNDetectDocumentSegmentationRequest (iOS 15+)
// Structured extraction: RecognizeDocumentsRequest (iOS 26+)
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.
- 1mo ago First seen · 308 lines · 40 tokens per session scan A 1776f27b9f66
ax-vision is a skill published in the GitHub repository Kasempiternal/axiom-v2 (4 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 3,047 once invoked, about $0.0002 per session on Opus 5.5. 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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