Tracely is a CI/CD system for AI agents that turns failed production traces into replayable regression tests. Development teams use it to detect and group agent failures, run the resulting cases on pull requests, and block changes that reproduce those failures. The catalogue entries provide skills for operating this trace-based testing and observability workflow.
Borrowing it
Nothing to install: this file belongs to Jwuthri/Tracely-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Jwuthri/Tracely-ai/master/.agents/skills/swiftui-graphics/SKILL.mdgit clone --depth 1 https://github.com/Jwuthri/Tracely-aiWrote 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/jwuthri/tracely-ai/swiftui-graphics)<a href="https://agentmods.dev/skills/jwuthri/tracely-ai/swiftui-graphics"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/swiftui-graphics/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/jwuthri/tracely-ai/swiftui-graphics"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/swiftui-graphics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.03364 |
| Opus 5 | $0.00023 | $0.01682 |
| Sonnet 5 | $0.00009 | $0.00673 |
| Haiku 4.5 | $0.00005 | $0.00336 |
Grade A, and why
swiftui-graphics 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 9d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- swiftui-graphics — 100% identical
- swiftui-graphics — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SwiftUI Graphics
Advanced SwiftUI visuals: Metal shaders, visual effects, Liquid Glass, Canvas. Loaded for advanced thesis (shaders, holographic, liquid-glass, distortion). Foundation:
../swiftui-motion/SKILL.mdcovers the basics. Concise rules here. Deep-dives inreferences/.
Decision Tree: Which API?
| Need | API |
|---|---|
| Pixel-level color manipulation | .colorEffect(ShaderLibrary....) |
| Pixel position / distortion | .distortionEffect(ShaderLibrary....) |
| Full layer with overlay (mix shader + bg) | .layerEffect(ShaderLibrary....) |
| View modifier with geometry context | .visualEffect { content, geometry in } |
| Custom drawing (paths, gradients) | Canvas { context, size in } |
| iOS 26+ glassmorphism | .glassEffect() / GlassEffectContainer |
| Performance dump | Canvas with .opaque(true) then export |
Default order of escalation: built-in modifiers ->
.visualEffect->Canvas-> Metal shader. Reach for shaders only when the effect is per-pixel and animated.
Metal Shaders Intro
SwiftUI binds to Metal Shading Language (MSL) via three modifiers shipped in iOS 17: .colorEffect, .distortionEffect, .layerEffect. You author a .metal file in your app target, mark functions with the [[ stitchable ]] attribute, and SwiftUI auto-generates the Swift binding via ShaderLibrary.<functionName>(...). One library per app target. Shaders run on the GPU at native resolution; arguments are passed as .float, .float2, .color, .image from Swift. iOS 17+ only; for older targets, fall back to gradients, blur, or Canvas.
The three slots differ by what data they receive:
.colorEffect: gets(position, color), returns transformed color. No neighbor sampling..distortionEffect: gets(position), returns a new sample position. Pixels move, colors do not change..layerEffect: gets(position, SwiftUI::Layer layer), returns final color. Can sample anywhere withinmaxSampleOffset. Most expensive.
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.
- 9d ago First seen · 409 lines · 45 tokens per session scan A 73afab1cd83a
swiftui-graphics is a skill published in the GitHub repository Jwuthri/Tracely-ai (1,216 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 3,364 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 2026-08-30.
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swift-preflight
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