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-motion/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-motion)<a href="https://agentmods.dev/skills/jwuthri/tracely-ai/swiftui-motion"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/swiftui-motion/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-motion"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/swiftui-motion.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 Excessive Agency · line 24 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00029 | $0.03636 |
| Opus 5 | $0.00015 | $0.01818 |
| Sonnet 5 | $0.00006 | $0.00727 |
| Haiku 4.5 | $0.00003 | $0.00364 |
Grade A, and why
swiftui-motion 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-motion — 89% identical, 6 lines differ
- swiftui-motion — 89% identical
How it starts
The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SwiftUI Motion
SwiftUI animation core. Loaded for any SwiftUI project (iOS, macOS, multi-target Apple). Concise rules here. Deep-dive in
references/. Pair with../motion-principles/SKILL.md(foundation) and../mobile-principles/SKILL.md(touch UX).
Animation API decision tree
| Need | API |
|---|---|
| Single value over time | withAnimation { } + @State or .animation(_, value:) |
| Multiple coordinated states | PhaseAnimator(phases) (iOS 17+) |
| Time-based keyframes | KeyframeAnimator(initialValue:repeating:content:) (iOS 17+) |
| Custom property animations | @Animatable macro (iOS 17+) or Animatable protocol |
| Shared element transitions | matchedGeometryEffect(id:in:) |
| Gesture-driven | DragGesture / MagnifyGesture + .offset / .scaleEffect |
| Loop forever | .animation(.linear.repeatForever(autoreverses: true), value: ...) or .phaseAnimator |
Rule: start with withAnimation. Reach for PhaseAnimator only when you have 3+ ordered states. Reach for KeyframeAnimator only when you need parallel time-based tracks.
Springs (the only easing you should care about)
SwiftUI ships 4 named springs (iOS 17+). Use them. Tune response / dampingFraction only when a preset is wrong.
| Preset (iOS 17+) | Equivalent | Mood |
|---|---|---|
.snappy |
.spring(response: 0.3, dampingFraction: 0.85) |
UI snappy |
.bouncy |
.spring(response: 0.5, dampingFraction: 0.7) |
playful |
.smooth |
.spring(response: 0.5, dampingFraction: 1.0) |
calm, no bounce |
.interactiveSpring() |
.spring(response: 0.15, dampingFraction: 0.86) |
gesture follow |
response is the time the spring takes to settle (lower = snappier, higher = softer). dampingFraction is the overshoot intensity in 0...1 (1 = no overshoot, 0 = perpetual oscillation - never use 0). For UI work, stay in response: 0.2...0.5 and dampingFraction: 0.7...1.0. Deep-dive: references/springs-cheatsheet.md.
iOS 17+ also exposes .spring(duration:bounce:) where bounce is 0...1 (0 = critically damped, 1 = full bounce). It's the same spring, exposed in a more designer-friendly way:
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 · 380 lines · 29 tokens per session scan A ebb33de86975
swiftui-motion is a skill published in the GitHub repository Jwuthri/Tracely-ai (1,216 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 3,636 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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