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/compose-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/compose-motion)<a href="https://agentmods.dev/skills/jwuthri/tracely-ai/compose-motion"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/compose-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/compose-motion"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/compose-motion.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 | $0.00029 | $0.03273 |
| Opus 5.5 | $0.00012 | $0.01309 |
| Sonnet 5.5 | $0.00006 | $0.00655 |
| Haiku 4.5 | $0.00003 | $0.00327 |
Grade A, and why
compose-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 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:
- compose-motion — 92% identical, 4 lines differ
- compose-motion — 92% identical
How it starts
The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compose Motion - Sub-skill
Jetpack Compose animation core. Loaded for Android Compose and Compose Multiplatform projects. Concise rules here. Deep-dive in
references/. Baseline: Compose 1.7+ (April 2026 stable). Modern stable APIs only - noswipeable, noanimateContentSizehacks whereAnimatedContentis correct.
API Decision Tree
| Need | API |
|---|---|
| Single value over time | animateFloatAsState, animateDpAsState, animateColorAsState, etc. |
| Visibility / mount-unmount | AnimatedVisibility(visible) { ... } |
| Crossfade between states | Crossfade(target) { state -> ... } |
| Multi-state coordinated | updateTransition(target).animateFloat { ... } |
| Manual control / interruption | Animatable(initialValue) + animateTo(...) |
| Looping / infinite | rememberInfiniteTransition().animateFloat(...) |
| Shared elements | SharedTransitionLayout + Modifier.sharedElement(...) (Compose 1.7+) |
| Layout swap with anim | AnimatedContent(target) { ... } |
| Drag / swipe | Modifier.draggable + Animatable.snapTo/animateTo, or Modifier.anchoredDraggable for snap-points |
Rule: climb the ladder only when needed. animate*AsState covers 70% of cases. Reach for Animatable only when you need to interrupt, chain, or read velocity.
Spring API (opinionated defaults)
| Use | Spec |
|---|---|
| UI snap (modal, drawer, tab) | spring(stiffness = Spring.StiffnessMediumLow, dampingRatio = Spring.DampingRatioNoBouncy) |
| Tactile (button press release, toggle) | spring(stiffness = Spring.StiffnessMedium, dampingRatio = 0.85f) |
| Bouncy reveal (toast, FAB, success) | spring(stiffness = Spring.StiffnessLow, dampingRatio = Spring.DampingRatioMediumBouncy) |
| Drag follow (1:1 finger tracking) | spring(stiffness = Spring.StiffnessHigh, dampingRatio = 1f) |
Stiffness constants: VeryLow 200, Low 400, MediumLow 700, Medium 1500, High 10000. Higher = faster settle. Damping constants: HighBouncy 0.2, MediumBouncy 0.5, LowBouncy 0.75, NoBouncy 1.0. Below 1.0 overshoots. Springs ignore durationMillis; if you need a deterministic duration, use tween(...) instead.
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 · 360 lines · 29 tokens per session scan A f1673ec03144
compose-motion is a skill published in the GitHub repository Jwuthri/Tracely-ai (1,311 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 3,273 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.
compose-motion compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| compose-motionJwuthri/Tracely-ai | Skill | 1.3k | yesterday | MIT | A | 29 | Claude Code, Codex |
| factory-releasetikalk/adlc-team-skills | Skill | 145 | yesterday | MIT | A | 72 | Claude Code, Codex |
| pin-mcp-serversyotambraun/Toolscore | Skill | 6 | 6d ago | Apache-2.0 | A | 107 | Claude Code |
| Prompt Version Control WorkflowNotysoty/openagentskills | Skill | 9 | 2mo ago | MIT | A | 30 | Claude Code, Codex |
| llm-testerbuiphucminhtam/forgewright | Skill | 49 | 2d ago | none | A | 49 | Claude Code |
| report-repairastandrik/my_instructions | Skill | 6 | 1mo ago | MIT | A | 16 | Claude Code |
| local-validatorastandrik/my_instructions | Skill | 6 | 1mo ago | MIT | A | 20 | Claude Code |