Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison.
Install Motioneyes Visual Analysis
$ npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install edwardsanchez/MotionEyes motioneyes-visual-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/edwardsanchez/MotionEyes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill/motioneyes-visual-analysis .claude/skills/motioneyes-visual-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "motioneyes-visual-analysis" agent skill from https://github.com/edwardsanchez/MotionEyes/tree/main/skill/motioneyes-visual-analysis into .claude/skills/motioneyes-visual-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "motioneyes-visual-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/edwardsanchez/MotionEyes/tree/main/skill/motioneyes-visual-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install edwardsanchez/MotionEyes motioneyes-visual-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/edwardsanchez/MotionEyes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill/motioneyes-visual-analysis .agents/skills/motioneyes-visual-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "motioneyes-visual-analysis" agent skill from https://github.com/edwardsanchez/MotionEyes/tree/main/skill/motioneyes-visual-analysis into .agents/skills/motioneyes-visual-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "motioneyes-visual-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install edwardsanchez/MotionEyes motioneyes-visual-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/edwardsanchez/MotionEyes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill/motioneyes-visual-analysis .cursor/skills/motioneyes-visual-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "motioneyes-visual-analysis" agent skill from https://github.com/edwardsanchez/MotionEyes/tree/main/skill/motioneyes-visual-analysis into .cursor/skills/motioneyes-visual-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "motioneyes-visual-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/edwardsanchez/MotionEyes.git --path skill/motioneyes-visual-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install edwardsanchez/MotionEyes motioneyes-visual-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/edwardsanchez/MotionEyes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill/motioneyes-visual-analysis .gemini/skills/motioneyes-visual-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "motioneyes-visual-analysis" agent skill from https://github.com/edwardsanchez/MotionEyes/tree/main/skill/motioneyes-visual-analysis into .gemini/skills/motioneyes-visual-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "motioneyes-visual-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install edwardsanchez/MotionEyes motioneyes-visual-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/edwardsanchez/MotionEyes.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill/motioneyes-visual-analysis .github/skills/motioneyes-visual-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "motioneyes-visual-analysis" agent skill from https://github.com/edwardsanchez/MotionEyes/tree/main/skill/motioneyes-visual-analysis into .github/skills/motioneyes-visual-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "motioneyes-visual-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install edwardsanchez/MotionEyes motioneyes-visual-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/edwardsanchez/MotionEyes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill/motioneyes-visual-analysis .opencode/skills/motioneyes-visual-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "motioneyes-visual-analysis" agent skill from https://github.com/edwardsanchez/MotionEyes/tree/main/skill/motioneyes-visual-analysis into .opencode/skills/motioneyes-visual-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "motioneyes-visual-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
motioneyes-visual-analysis- GitHub stars
- 229
- Token cost
- ~2k tokens
- SKILL.md length
- 820 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- None found
At a glance
Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison.
- Works in 10 steps: Capture or gather frames for the target… → Normalize frames (same size, consistent… → Run baseline analysis with --trim to… → …
- Visual effects are not observable via MotionEyes logs
- SKILL.md covers Overview, Use With the Other MotionEyes…, Inputs and Workflow, plus 10 more sections
- Runs Python scripts from its folder; calls python3 and pip
What it does
Motioneyes Visual Analysis is an agent skill from edwardsanchez/MotionEyes. 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.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/grid-overlay-notes.md` and `references/motion-analysis-techniques.md`).
It sits in AI & LLM Engineering, covering Computer vision.
When your agent uses it
- Visual effects are not observable via MotionEyes logs
- You only have screenshots/video
- You need regression diffs across builds
- You need to summarize on-screen changes without instrumentation
Example prompts
- “/motioneyes-visual-analysis”
Requirements
- Python 3
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- Capture or gather frames for the target animation.
- Normalize frames (same size, consistent crop).
- Run baseline analysis with --trim to generate frames, diffs, and keyframes.
- Interpret motion using grid artifacts first (grid/ + sprite/, plus diff_grid/ when needed) for coordinate-indexed reading across frames.
- If grid overlays obscure subtle visual details, fall back to non-grid artifacts (frames/ + diff/) for verification.
- Escalate from keyframe pairs to neighboring pairs and then --all-pairs only when confidence is low or anomalies are suspected.
- Select key frames (start/mid/end + top delta frames) for summary.
- Write analysis.json and summary.md.
- If validating the skill itself, optionally generate an HTML report with --report.
- Use --trim-threshold and --trim-relative tuning if the animation is subtle.
What it can do on your machine
Read from SKILL.md and the folder at commit 0e9d525. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Motioneyes Visual Analysis loads about 2k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 128 tokens; SKILL.md has 820 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 820 words (~1,982 tokens).
“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.”
- name
- motioneyes-visual-analysis
Files
SKILL.md and 8 other files (scripts, references) in skill/motioneyes-visual-analysis of edwardsanchez/MotionEyes.
- SKILL.md
- agents/openai.yaml
- references/grid-overlay-notes.md
- references/motion-analysis-techniques.md
- references/report-schema.md
- requirements.txt
- scripts/analyze_sequence.py
- scripts/build_master_report.py
- scripts/capture_sim_frames.py
Open the folder on GitHubat commit 0e9d525
Compare with similar skills
Motioneyes Visual Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Motioneyes Visual Analysis this skilledwardsanchez/MotionEyes | 229 | — | ~2k | Automated safety check: Pass | None | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Yolo Master AgentTencent/YOLO-Master | 742 | — | ~755 | Automated safety check: Pass | AGPL-3.0 | |
| Video Understandjjyaoao/HelloAgents | 3.2k | 1 repos | ~6.2k | Automated safety check: Pass | MIT | |
| LLaVA Vision-Language ModelOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Motioneyes Visual Analysis
What does Motioneyes Visual Analysis do?
Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison. Motioneyes Visual Analysis is an agent skill from edwardsanchez/MotionEyes. Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison.
When should I use Motioneyes Visual Analysis?
Motioneyes Visual Analysis fits situations like: visual effects are not observable via MotionEyes logs; you only have screenshots/video; you need regression diffs across builds; you need to summarize on-screen changes without instrumentation.
How do I install Motioneyes Visual Analysis in Claude Code?
Run `npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a claude-code`. Or copy the skill folder (skill/motioneyes-visual-analysis in edwardsanchez/MotionEyes) into .claude/skills/motioneyes-visual-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Motioneyes Visual Analysis in Codex?
Run `npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a codex`. Or copy the skill folder (skill/motioneyes-visual-analysis in edwardsanchez/MotionEyes) into .agents/skills/motioneyes-visual-analysis in your project. Codex loads it when a task matches its description.
Can I use Motioneyes Visual Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add edwardsanchez/MotionEyes --skill motioneyes-visual-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/motioneyes-visual-analysis, .gemini/skills/motioneyes-visual-analysis, .github/skills/motioneyes-visual-analysis and .opencode/skills/motioneyes-visual-analysis in your project.
What does Motioneyes Visual Analysis need to run?
Going by SKILL.md and its folder, Motioneyes Visual Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
Does Motioneyes Visual Analysis access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Motioneyes Visual Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Motioneyes Visual Analysis use?
No licence was found for Motioneyes Visual Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Motioneyes Visual Analysis use?
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.
What are the alternatives to Motioneyes Visual Analysis?
Skills that share tags, products or a category with Motioneyes Visual Analysis: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Yolo Master Agent (Tencent/YOLO-Master, 742 stars) and Video Understand (jjyaoao/HelloAgents, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Motioneyes Visual Analysis?
edwardsanchez (a GitHub user) maintains it in edwardsanchez/MotionEyes, which has 229 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on March 16, 2026.
Source: edwardsanchez/MotionEyes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.