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/motion-principles/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/motion-principles)<a href="https://agentmods.dev/skills/jwuthri/tracely-ai/motion-principles"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/motion-principles/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/motion-principles"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/motion-principles.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 | $0.00022 | $0.02485 |
| Opus 5.5 | $0.00009 | $0.00994 |
| Sonnet 5.5 | $0.00004 | $0.00497 |
| Haiku 4.5 | $0.00002 | $0.00248 |
Grade A, and why
motion-principles 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 2mo 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:
- motion-principles — 98% identical, 2 lines differ
- motion-principles — 98% identical
How it starts
The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Motion Principles
The foundation. Loaded by every creative skill invocation. Concise rules here. Deep-dive in
references/.
Timing Rules
| Context | Duration | Why |
|---|---|---|
| Micro-interaction (toggle, hover, focus) | 100-150ms | Instant feedback, no perceived delay |
| UI transition (modal, drawer, tab switch) | 200-300ms | Smooth but never sluggish |
| Page/route transition | 300-500ms | Establishes spatial narrative |
| Scroll-driven / 3D | Free (progress-based) | Tied to user input, no fixed duration |
Frequency rule: The more often an animation plays, the shorter and subtler it must be. A button hover (1000x/day) = 100ms opacity. An onboarding reveal (1x ever) = 600ms+ full choreography.
Easing Cheat Sheet
| Action | Easing | Why |
|---|---|---|
| Element enters | ease-out / spring |
Decelerates into resting position (natural arrival) |
| Element exits | ease-in |
Accelerates away (gets out of the way) |
| Element moves between states | ease-in-out |
Smooth start and stop |
| Scroll-synced | linear / none |
Matches 1:1 with input, no lag perception |
| Bouncy/playful | spring (underdamped) | Overshoot creates life |
| Snappy UI | cubic-bezier(0.2, 0, 0, 1) |
Fast start, smooth land |
Exit is always more subtle than enter. Enter: 300ms ease-out, full choreography. Exit: 200ms ease-in, opacity only.
Native easing equivalents (cross-platform)
| Web (CSS / JS) | SwiftUI | Compose |
|---|---|---|
cubic-bezier(0.2, 0, 0, 1) |
.spring(response: 0.4, dampingFraction: 0.85) or .snappy |
spring(stiffness = Spring.StiffnessMedium, dampingRatio = 0.85f) |
ease-out |
.easeOut(duration: 0.3) |
tween(durationMillis = 300, easing = LinearOutSlowInEasing) |
ease-in |
.easeIn(duration: 0.2) |
tween(durationMillis = 200, easing = FastOutLinearInEasing) |
| spring (bouncy) | .bouncy (iOS 17+) |
spring(stiffness = Spring.StiffnessLow, dampingRatio = Spring.DampingRatioMediumBouncy) |
| spring (smooth) | .smooth (iOS 17+) |
spring(stiffness = Spring.StiffnessMedium, dampingRatio = Spring.DampingRatioNoBouncy) |
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.
- 2mo ago First seen · 285 lines · 22 tokens per session scan A 4e2ea2e61255
motion-principles is a skill published in the GitHub repository Jwuthri/Tracely-ai (1,311 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 2,485 once invoked, about $0.0001 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 2026-08-30.
motion-principles compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| motion-principlesJwuthri/Tracely-ai | Skill | 1.3k | yesterday | MIT | A | 22 | Claude Code, Codex |
| temps-design-systemgotempsh/temps | Skill | 904 | yesterday | Apache-2.0 | A | 72 | Claude Code, Codex |
| say-it-oncektwu01/benchmark-radar | Skill | 363 | yesterday | MIT | A | 57 | Claude Code, Codex |
| factory-releasetikalk/adlc-team-skills | Skill | 145 | yesterday | MIT | A | 72 | Claude Code, Codex |
| native-transparent-imagegenZSeven-W/craft-skills | Skill | 241 | 1mo ago | Apache-2.0 | A | 85 | Codex |
| recurring-character-diary-comicZSeven-W/craft-skills | Skill | 241 | 1mo ago | Apache-2.0 | A | 129 | Codex |
| single-path-process-dioramaZSeven-W/craft-skills | Skill | 241 | 1mo ago | Apache-2.0 | A | 111 | Codex |