SSGOI is a browser-based page-transition library that adds app-like animated navigation to mobile websites, progressive web apps, and WebViews. It works with existing routers and server-rendered applications across major browsers and supports frameworks including React, Svelte, Vue, Solid, Angular, and Qwik. The catalogue skills, instructions, and plugin help coding agents apply SSGOI to supported web projects.
Borrowing it
Nothing to install: this file belongs to meursyphus/ssgoi. 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/meursyphus/ssgoi/latest/.agents/skills/ssgoi-motion-analyzer/SKILL.mdgit clone --depth 1 https://github.com/meursyphus/ssgoiWrote 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/meursyphus/ssgoi/ssgoi-motion-analyzer)<a href="https://agentmods.dev/skills/meursyphus/ssgoi/ssgoi-motion-analyzer"><img src="https://agentmods.dev/badge/skills/meursyphus/ssgoi/ssgoi-motion-analyzer/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/meursyphus/ssgoi/ssgoi-motion-analyzer"><img src="https://agentmods.dev/badge/skills/meursyphus/ssgoi/ssgoi-motion-analyzer.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 | $0.00059 | $0.01006 |
| Opus 5.5 | $0.00024 | $0.00402 |
| Sonnet 5.5 | $0.00012 | $0.00201 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
ssgoi-motion-analyzer 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.
How it starts
The opening of the file, as written. The whole thing — 23 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You understand the recording; the numerical tool measures it. The user's current request takes precedence over older plans in plans/motion-analyzer/.
The tool is apps/dev/tools/motion-analyzer/run.sh relative to the SSGOI repository root. It uses FFmpeg, a private Python environment (3.9–3.14), and the installed workspace's esbuild to check every fitted curve against the current SSGOI TypeScript. Run pnpm install if workspace dependencies are missing. First use creates the private Python environment; no API key or external video upload is needed. bash apps/dev/tools/motion-analyzer/run.sh synth --out OUTPUT/demo renders a demo recording with known physics if you need to try the tool before a real recording exists.
- Run
bash apps/dev/tools/motion-analyzer/run.sh inspect VIDEO --out OUTPUT/inspection. Readinspection.jsonand view the contact sheets. Activity intervals are proposals: distinguish navigation, drag/release, loading, scrolling, taps, and system UI yourself. - Inspect uncertain parts with
inspect VIDEO --out OUTPUT/detail --range START_MS END_MS --step-ms 50. Use actual PTS labels. Split or merge intervals from visual evidence; don't ask the user to cut them unless the content is unavailable. - Write a semantic analysis plan using the protocol. Name elements, roles, and anchor ROIs from frames you saw. Keep visual interpretation and geometric assumptions explicit. Incoming ROIs usually belong on the end frame, outgoing on the start frame. Inspect that exact anchor before specifying coordinates. Coordinates are original, rotation-corrected recording pixels. When a page starts off screen or ends covered and you know the layout's travel (a full screen width, a third of it), supply
offsetFromEnd/offsetToStart; otherwise the fit infers that rest position and says so. - Run
bash apps/dev/tools/motion-analyzer/run.sh measure VIDEO --plan PLAN.json --out OUTPUT/report. Empty element lists request automatic geometric proposals. Named elements request only those tracks. Revise the plan if tracking or segmentation is wrong, then rerun. - Open the generated
report.htmlviewer: video and graph share a playhead, with frame stepping, speed/loop controls, element selection and a curve/Bezier view. Check source frames and residuals, plusreport.jsonfor unmeasured regions, fit error, alternatives, inferred endpoints andphysicsVerification. Match visual identity before interpreting a low RMSE. Deliver the viewer and a representative view inline. Usepnpm motion:render PATH/report.jsonfor presentation-only changes; it preserves the measurements. Local file URLs work in a browser. For an in-app browser, runpnpm motion:view OUTPUT_FOLDERand open the printed localhost URL; this server supports the byte ranges needed for video seeking.
Use different physical tracks when properties have different timing. Bezier fits are displayed as references; the reproduction settings must come from SSGOI spring/doubleSpring/inertia. Never call an extrapolated invisible portion a pixel measurement, or claim an arbitrary recording reveals unique source parameters. Include a visible-range result when its initial state is unidentifiable. For a release phase, isolate it and supply a measured/explicit normalized initial velocity with --initial-velocity; do not fit finger-driven drag and free motion as one spring.
Choose the measurement method to match the element: features for textured objects and similarity transforms, edge for a contrasting panel boundary, alpha for a static endpoint mixture. Inspect whether content moves inside a container before treating its feature motion as page displacement. The numerical tools are reusable from Python for other vision algorithms; semantic decisions do not need to be forced through automatic region proposals.
motion.ts starts with a preset override that retunes the registered out / in children of any page preset (axis, drill, fade, sheet, ...) with the measured integrators and their measured start threshold. Hand that to the user first; it is what they paste into axis({ type: "x" }, { override }). The rest of the file lists every measured element with its integrator, delay and source endpoints for a custom transition; bind those to actual DOM geometry in CSS pixels. Blur, perspective, masked morphs, and moving opacity can require separate implementations; say which measurements are observable.
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 · 23 lines · 59 tokens per session scan A 391a732975b2
ssgoi-motion-analyzer is a skill published in the GitHub repository meursyphus/ssgoi (1,016 stars, last pushed 3d ago), licensed MIT. It adds 59 tokens to every session and 1,006 once invoked, about $0.0002 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 2026-09-25.
ssgoi-motion-analyzer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ssgoi-motion-analyzermeursyphus/ssgoi | Skill | 1.0k | 3d ago | MIT | A | 59 | Claude Code, Codex |
| frontend-designmastra-ai/mastra | Skill | 29k | yesterday | none | A | 77 | Claude Code, Codex |
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| motion-devoyi77/1ai-skills | Skill | 17 | yesterday | MIT | A | 53 | Claude Code |
| shadcn-sveltekit-designMichael-Obele/shadcn-svelte-mcp | Skill | 58 | 1mo ago | MIT | A | 115 | Claude Code, Codex |
| motionTaewoooPark/UIForge | Skill | 10 | 3mo ago | MIT | A | 164 | Claude Code |