Borrowing it
Nothing to install: this file belongs to alecs5am/ralphy. 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/alecs5am/ralphy/main/.agents/skills/waapi/SKILL.mdgit clone --depth 1 https://github.com/alecs5am/ralphyWrote 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/alecs5am/ralphy/waapi)<a href="https://agentmods.dev/skills/alecs5am/ralphy/waapi"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/waapi/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/alecs5am/ralphy/waapi"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/waapi.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00052 | $0.00783 |
| Opus 5.5 | $0.00021 | $0.00313 |
| Sonnet 5.5 | $0.00010 | $0.00157 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
waapi 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 1mo 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.
This is a copy
100% identical to waapi — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Animations API for HyperFrames
HyperFrames can seek Web Animations API animations through its waapi runtime adapter. WAAPI is useful when you want native browser keyframes with JavaScript-created timing and no GSAP dependency.
Contract
- Create animations synchronously during composition initialization.
- Use
element.animate(...)with finitedurationanditerations. - Use
fill: "both"so seeked states persist. - Pause animations after creation or let the adapter pause them on first seek.
- Avoid callbacks and promises for render-critical state.
The adapter calls document.getAnimations(), sets each animation's currentTime to HyperFrames time in milliseconds, then pauses it.
Basic Pattern
<div id="orb" class="clip orb" data-start="2" data-duration="3" data-track-index="2"></div>
<script>
const orb = document.getElementById("orb");
const animation = orb.animate(
[
{ transform: "translate3d(-160px, 0, 0) scale(0.8)", opacity: 0 },
{ transform: "translate3d(0, 0, 0) scale(1)", opacity: 1, offset: 0.35 },
{ transform: "translate3d(120px, 0, 0) scale(1.08)", opacity: 1 },
],
{
duration: 3000,
delay: 2000,
easing: "cubic-bezier(0.2, 0, 0, 1)",
fill: "both",
iterations: 1,
},
);
animation.pause();
</script>
Stagger Pattern
document.querySelectorAll(".token").forEach((token, index) => {
const animation = token.animate(
[
{ transform: "translateY(24px)", opacity: 0 },
{ transform: "translateY(0)", opacity: 1 },
],
{
duration: 620,
delay: index * 80,
easing: "cubic-bezier(0.2, 0, 0, 1)",
fill: "both",
iterations: 1,
},
);
animation.pause();
});
Good Uses
- Lightweight DOM motion where CSS keyframes are too rigid and GSAP is unnecessary.
- Generated animations from structured data.
- Simple timelines that can be represented as keyframes, delays, and offsets.
Avoid
- Infinite
iterations. - Depending on
animation.finishedto mutate render-critical DOM. - Running separate clocks with
requestAnimationFrame, timers, orperformance.now(). - Animating layout properties when transforms and opacity can express the motion.
- Assuming clip-local start time is automatic. WAAPI adapter seeks document-level animation time; model clip offsets with
delayor create the animation on an element whose visibility is controlled by HyperFrames timing.
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.
- 1mo ago First seen · 95 lines · 52 tokens per session scan A e465beaf82a4
waapi is a skill published in the GitHub repository alecs5am/ralphy (140 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 783 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to waapi, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
gsap-animation-composition
Production guidance for authoring, integrating, and reviewing GSAP animation in browser-rendered media. Use for deterministic kinetic typography, SVG drawing and morphing, motion paths, FLIP transitions, responsive motion systems, or frame-seekable GSAP timelines inside HTML video composition and React-based…
video-gen
Use when generate videos with AI models — Runway, Kling, Sora, Pika, Seedance 2.0, Grok Imagine, Veo. Text-to-video, image-to-video, video extension, multi-modal references. Use when generating video from text prompts, animating images, or creating AI video content.
imaging-data-commons
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
molecular-cloning
Molecular cloning simulation and design. PCR amplicon prediction, restriction enzyme digestion, Golden Gate and Gibson assembly simulation, primer design, CRISPR sgRNA design, and plasmid annotation. For protein-level sequence analysis use biopython or esm; for database lookups use gene-database or ensembl-database.
geo-database
Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.
flow-cytometry-analysis
Complete flow cytometry analysis pipeline. FCS file handling, compensation, manual/automated gating, immunophenotyping, CFSE proliferation analysis, cell cycle analysis (Dean-Jett-Fox), and apoptosis assays. Extends flowio with analytical workflows. For raw FCS parsing only use flowio.