ssgoi: Skill for Claude Code

.agents/skills/ssgoi-motion-analyzer/SKILL.md

ssgoi-motion-analyzer is a skill for Claude Code, Codex from meursyphus/ssgoi. It costs 59 tokens per session (1,006 once invoked), scanned A, original, MIT.

A tool for examining screen recordings of user interfaces and measuring how elements move and overlap. It produces timing reports and settings for SSGOI, a TypeScript motion system.

In plain words
What is it for?
Use it to inspect navigation, dragging, loading, scrolling, taps, and other activity, then fit motion curves or review uncertain sections of a recording.
Why use it?
It combines visual inspection with measured timing so animation behavior can be studied rather than estimated from the recording alone.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is meursyphus/ssgoi's own configuration. It tells Claude Code and Codex how to work on ssgoi itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ssgoi configures →

About the project

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.

meursyphus/ssgoi · 1,016 stars · on GitHub · ssgoi.dev

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/meursyphus/ssgoi/latest/.agents/skills/ssgoi-motion-analyzer/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/meursyphus/ssgoi

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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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.

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<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>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,006 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 1mo ago against content hash 391a732975b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.agents/skills/ssgoi-motion-analyzer/SKILL.md · 23 lines

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.

  1. Run bash apps/dev/tools/motion-analyzer/run.sh inspect VIDEO --out OUTPUT/inspection. Read inspection.json and view the contact sheets. Activity intervals are proposals: distinguish navigation, drag/release, loading, scrolling, taps, and system UI yourself.
  2. 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.
  3. 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.
  4. 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.
  5. Open the generated report.html viewer: video and graph share a playhead, with frame stepping, speed/loop controls, element selection and a curve/Bezier view. Check source frames and residuals, plus report.json for unmeasured regions, fit error, alternatives, inferred endpoints and physicsVerification. Match visual identity before interpreting a low RMSE. Deliver the viewer and a representative view inline. Use pnpm motion:render PATH/report.json for presentation-only changes; it preserves the measurements. Local file URLs work in a browser. For an in-app browser, run pnpm motion:view OUTPUT_FOLDER and 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.

Read the full file on GitHub · 23 lines

Changes

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.

  1. 1mo ago First seen · 23 lines · 59 tokens per session scan A 391a732975b2

Subscribe to this mod's changes

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.

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