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 agentmods add skills/rshankras/claude-code-apple-skills/visual-intelligencenpx skills add rshankras/claude-code-apple-skills --skill visual-intelligencegit clone --depth 1 https://github.com/rshankras/claude-code-apple-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/rshankras/claude-code-apple-skills/visual-intelligence)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/visual-intelligence"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/visual-intelligence.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.03988 |
| Opus 5 | $0.00014 | $0.01994 |
| Sonnet 5 | $0.00006 | $0.00798 |
| Haiku 4.5 | $0.00003 | $0.00399 |
Grade A, and why
visual-intelligence 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 5d 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 — 565 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Intelligence
Integrate your app with iOS Visual Intelligence to let users find app content by pointing their camera at objects.
When This Skill Activates
- User wants camera-based search in their app
- User asks about visual search integration
- User wants to surface app content in system searches
- User needs to handle visual intelligence queries
Overview
Visual Intelligence lets users:
- Point camera at objects or use screenshots
- System identifies what they're looking at
- Your app provides matching content
- Results appear in system UI
Your app implements:
IntentValueQueryto receive search requestsAppEntitytypes for searchable content- Display representations for results
Platform Availability (WWDC26 297)
- Visual Intelligence runs on iOS, iPadOS, and macOS — the same entities, query, and OpenIntent code works unchanged on all three. Handle both camera captures of physical objects (iOS) and screenshots of digital media (iPad/Mac) as input.
- On Mac, the input pixel buffer can be much larger than what you'd encounter on iPhone — consider whether resizing is necessary before matching.
Quick Start
1. Import Frameworks
import VisualIntelligence
import AppIntents
2. Create App Entity
struct ProductEntity: AppEntity {
var id: String
var name: String
var price: String
var imageName: String
static var typeDisplayRepresentation: TypeDisplayRepresentation {
TypeDisplayRepresentation(
name: LocalizedStringResource("Product"),
numericFormat: "\(placeholder: .int) products"
)
}
var displayRepresentation: DisplayRepresentation {
DisplayRepresentation(
title: "\(name)",
subtitle: "\(price)",
image: .init(named: imageName)
)
}
// Deep link URL
var appLinkURL: URL? {
URL(string: "myapp://product/\(id)")
}
}
3. Create Intent Value Query
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.
- 5d ago First seen · 565 lines · 28 tokens per session scan A 234e46e583ac
visual-intelligence is a skill published in the GitHub repository rshankras/claude-code-apple-skills (700 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 3,988 once invoked, about $0.0001 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 2026-08-30.
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