motioneyes-visual-analysis SKILL.md skillA

motioneyes-visual-analysis from jordancoin/ios-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jordancoin/ios-skills-collection/motioneyes-visual-analysis@git:20260330.fb568c2

Pins git:20260330.fb568c2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jordancoin/ios-skills-collection
Path
skills/edwardsanchez--motioneyes-visual-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260330.fb568c2, committed Mar 30, 2026
Size
7,925 bytes
Repository stars
6
License
a license file GitHub does not identify

Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison. Use when `.transition` or visual effects are not observable via MotionEyes logs, when you only have screenshots/video, when you need regression diffs across builds, or when you need to summarize on-screen changes without instrumentation. Do not use when MotionEyes traces are available and you need precise timing/values; use `motioneyes-animation-debug` instead.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# MotionEyes Visual Analysis

## Overview

Analyze UI motion by comparing frames directly. This skill produces annotated images plus a JSON summary of motion signals (translation, scale, rotation, opacity, color) and changed regions. It complements MotionEyes traces when instrumentation is unavailable or insufficient.

## Use With the Other MotionEyes Skill

- Use `motioneyes-animation-debug` when you can instrument the app and need precise timing or value traces.
- Use this skill when you only have pixels or when `.transition` and similar effects do not surface in MotionEyes logs.

## Inputs

Use one of these inputs:

- **Frames directory** with sequential image files (PNG/JPG).
- **Video file** captured from the simulator (preferred). Frames are extracted at `--fps`.
- **macOS window capture** using `screencapture` with a window id.

## Workflow

Follow this order:

1. Capture or gather frames for the target animation.
2. Normalize frames (same size, consistent crop).
3. Run baseline analysis with `--trim` to generate frames, diffs, and keyframes.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jordancoin/ios-skills-collection/motioneyes-visual-analysis@sha256:4b498c0b1b4faee0

The line at the top of this page pins the label git:20260330.fb568c2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_fzklgltxdizxxraa.svg)](https://markdownregistry.com/a/art_fzklgltxdizxxraa)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Mar 30, 2026.

versioncommittedcommitsizeaudit
git:20260330.fb568c2 latest2026-03-30 fb568c2 7,925 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7925 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jordancoin/ios-skills-collection · 6 stars · license a license file GitHub does not identify · pushed 2026-09-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_fzklgltxdizxxraa
GET https://markdownregistry.com/api/v1/resolve?ref=jordancoin/ios-skills-collection/motioneyes-visual-analysis
GET https://markdownregistry.com/api/v1/blob/4b498c0b1b4faee05667535ec50f502fa873bf9b8b3257223b40344de9fc65d6

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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