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 TalissonVitorino/kmp-ios-skills --skill vision-frameworkgit clone --depth 1 https://github.com/TalissonVitorino/kmp-ios-skillsWrote 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/talissonvitorino/kmp-ios-skills/vision-framework)<a href="https://agentmods.dev/skills/talissonvitorino/kmp-ios-skills/vision-framework"><img src="https://agentmods.dev/badge/skills/talissonvitorino/kmp-ios-skills/vision-framework/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/talissonvitorino/kmp-ios-skills/vision-framework"><img src="https://agentmods.dev/badge/skills/talissonvitorino/kmp-ios-skills/vision-framework.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 201 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00237 | $0.04530 |
| Opus 5 | $0.00118 | $0.02265 |
| Sonnet 5 | $0.00047 | $0.00906 |
| Haiku 4.5 | $0.00024 | $0.00453 |
Grade A, and why
vision-framework 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 6d 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vision & VisionKit (iOS)
On-device computer vision for a fintech app: OCR of cards/cheques/IDs, barcode/QR scanning, document capture for KYC, and custom Core ML inference. Everything here runs on device — no image ever leaves the phone, which is the right posture for KYC/PII. Grounded in Apple's Vision and VisionKit frameworks.
- Two Vision APIs coexist. The modern Swift API (
RecognizeTextRequest,struct/classrequests withasync .perform(on:)) needs iOS 18+. The legacy API (VNRecognizeTextRequest+VNImageRequestHandler) works back to iOS 13 and is still the path when you support iOS 17 or earlier. Same ML models underneath; different surface. - VisionKit is a separate framework for UI: full-screen live scanners and Live Text overlays. Reach for it before hand-rolling an
AVCaptureSession+ Vision loop. - Do NOT confuse with visionOS. This skill is Apple's image-analysis
Vision, unrelated to the Apple Vision Pro platform.
Contents
- Which API to use
- Modern request lifecycle (iOS 18+)
- Text recognition (OCR)
- Barcode / QR detection
- Face rectangles
- Document segmentation & foreground mask
- Object tracking (stateful)
- Custom Core ML models
- VisionKit — live capture UI
- Coordinates & orientation
- KMP boundary
- Performance & privacy
- Correctness checklist
- References:
references/legacy-vnrequest.md,references/visionkit.md,references/coordinates-performance.md
Which API to use
| You need… | Use | Min iOS |
|---|---|---|
| Still-image OCR / detection, new code, iOS 18+ only | Modern Vision (RecognizeTextRequest, …) |
18 |
| Same, but supporting iOS 17 or earlier | Legacy Vision (VNRecognizeTextRequest + VNImageRequestHandler) |
13 |
| Full-screen live camera scanner (text + codes), minimal code | VisionKit DataScannerViewController |
16 |
| Guided multi-page document scan (edge detect, deskew, capture) | VisionKit VNDocumentCameraViewController |
13 |
| Live Text selection/data-detectors over a static image | VisionKit ImageAnalyzer + ImageAnalysisInteraction |
16 |
| Run your own trained classifier/detector | CoreMLRequest (modern) / VNCoreMLRequest (legacy) |
18 / 11 |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 310 lines · 237 tokens per session scan A 3c83f671b272
vision-framework is a skill published in the GitHub repository TalissonVitorino/kmp-ios-skills (12 stars, last pushed 15d ago), licensed MIT. It adds 237 tokens to every session and 4,530 once invoked, about $0.0012 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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