Review Local UI Screenshots
xiaocang/easydict_win32
Review Easydict UI automation screenshot artifacts already present in local artifacts/ui-screenshots, screenshots, or a user-provided artifact directory.
Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions
Install Visual Validation
$ npx skills add alinaqi/maggy --skill visual-validation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alinaqi/maggy visual-validation --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/alinaqi/maggy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/visual-validation .claude/skills/visual-validation && 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 "visual-validation" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/visual-validation into .claude/skills/visual-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-validation", 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/alinaqi/maggy/tree/main/skills/visual-validationType 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 alinaqi/maggy --skill visual-validation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alinaqi/maggy visual-validation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/visual-validation .agents/skills/visual-validation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "visual-validation" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/visual-validation into .agents/skills/visual-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-validation", 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 alinaqi/maggy --skill visual-validation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alinaqi/maggy visual-validation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/visual-validation .cursor/skills/visual-validation && 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 "visual-validation" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/visual-validation into .cursor/skills/visual-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-validation", 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/alinaqi/maggy.git --path skills/visual-validation--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 alinaqi/maggy --skill visual-validation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alinaqi/maggy visual-validation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/visual-validation .gemini/skills/visual-validation && 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 "visual-validation" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/visual-validation into .gemini/skills/visual-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-validation", 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 alinaqi/maggy visual-validationInstalls 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 alinaqi/maggy --skill visual-validation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/visual-validation .github/skills/visual-validation && 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 "visual-validation" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/visual-validation into .github/skills/visual-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-validation", 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 alinaqi/maggy --skill visual-validation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alinaqi/maggy visual-validation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/visual-validation .opencode/skills/visual-validation && 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 "visual-validation" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/visual-validation into .opencode/skills/visual-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-validation", 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
visual-validation- GitHub stars
- 707
- Token cost
- ~818 tokens
- SKILL.md length
- 146 words
- Files
- 1
- Skills in repo
- 71
- Repo updated
- First seen
- Licence
- MIT
At a glance
Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions
- Tasks that involve Visual regression testing
- SKILL.md covers Philosophy, Autonomous Flow, Quick Commands and Autonomous Verification Flow…, plus 3 more sections
- Calls brew, git and python3
What it does
Visual Validation is an agent skill from alinaqi/maggy. Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Visual regression testing. The repository describes itself as: What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center. The licence is MIT.
When your agent uses it
- Tasks that involve Visual regression testing
Example prompts
- “/visual-validation”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 72a456e. 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
Shell commands in SKILL.md call:
brewgitpython3curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git and curl, 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
Visual Validation loads about 818 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 146 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from alinaqi/maggy at commit 72a456e, republished under its MIT licence (© alinaqi). 146 words, ~818 tokens.
Download SKILL.mdSave it as
.claude/skills/visual-validation/SKILL.md (or your agent's skills folder).- name
- visual-validation
- description
- Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions
- when-to-use
- When a UI or static-asset change needs visual verification before shipping
- user-invocable
- false
- effort
- medium
Visual Validation — Autonomous Screenshot Verification
Philosophy
Every UI change should be visually verified before it ships. Peekaboo captures pixel-accurate screenshots. The system compares before/after and flags visual regressions. No manual "looks good to me" — the machine verifies what the machine built.
Autonomous Flow
static/* files modified (detected by auto-review-hook or E2E testkit)
↓
peekaboo image --mode screen → ~/.maggy/visual-verify/after-{ts}.png
↓
Compare with latest baseline (previous after-*.png)
↓
AI evaluation: Gemini Flash analyzes screenshot for visual regressions
↓
Report: CLEAN or REGRESSION_DETECTED with specific issuesQuick Commands
# Install
brew install steipete/tap/peekaboo
# Capture full system screenshot
peekaboo image --mode screen --retina --path /tmp/screen.png
# Capture specific window
peekaboo image --mode window --app "Google Chrome" --path /tmp/window.png
# Verify Maggy dashboard after code change
peekaboo image --mode window --app "Google Chrome" --path ~/.maggy/visual-verify/after-$(date -u +%Y%m%d-%H%M%S).png
# Compare two screenshots
ls -la ~/.maggy/visual-verify/after-*.png # review before/after pairsAutonomous Verification Flow (Claude Code)
# After making any static/ file change, Claude should:
1. git add maggy/maggy/static/ && git diff --stat HEAD # check what changed
2. Restart Maggy: lsof -ti :8080 | xargs kill && python3 -m maggy.main &
3. Wait for health: curl -s http://localhost:8080/api/health
4. Capture screenshot: peekaboo image --mode screen --path ~/.maggy/visual-verify/after-$(date -u +%Y%m%d-%H%M%S).png
5. Compare with latest baseline in ~/.maggy/visual-verify/
6. AI evaluation: ~/bin/gemini-api --flash "Analyze this screenshot for visual regressions"
7. Report findingsMaggy Dashboard Verification
# One-shot verification
curl -s http://localhost:8080/api/health && \
peekaboo image --mode screen --path ~/.maggy/visual-verify/verify.png && \
echo "✓ Dashboard verified — screenshot at ~/.maggy/visual-verify/verify.png"Integration Points
Auto-Review Hook (already wired)
- Detects
static/changes in git diff - Auto-captures Peekaboo screenshot
- Saves before/after pairs in
~/.maggy/visual-verify/
E2E Testkit Plugin
- Visual regression testing as part of
POST /api/testkit/run - Compares screenshots against baselines
- Flags pixel differences above threshold
Build-in-Public Plugin
- Peekaboo screenshots replace AI-generated images
- Real product captures for LinkedIn/X posts
When to Use
| Scenario | Command |
|---|---|
| After static/ change | peekaboo image --mode screen --path ~/.maggy/visual-verify/after.png |
| Before committing UI change | Run verification flow above |
| Reviewing dashboard | Screenshot + AI analysis |
| Build-in-public post | Auto-captured by plugin |
| Cross-browser check | peekaboo image --mode window --app "Safari" |
© alinaqi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/visual-validation of alinaqi/maggy.
Open the folder on GitHubat commit 72a456e
Compare with similar skills
Visual Validation 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 |
|---|---|---|---|---|---|---|
| Visual Validation this skillalinaqi/maggy | 707 | — | ~818 | Automated safety check: Pass | MIT | |
| Review Local UI Screenshotsxiaocang/easydict_win32 | 103 | — | ~1.1k | Automated safety check: Pass | GPL-3.0 | |
| Handsontable Visual Test Demoshandsontable/handsontable | 22k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Kc Screenshotimran31415/kube-coder | 388 | — | ~870 | Automated safety check: Notes | MIT | |
| Visual QAliangdabiao/Godogen | 126 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Meticulous FixFlintSH/Flare | 135 | — | ~2.3k | Automated safety check: Pass | MIT |
Similar skills
Handsontable Visual Test Demos
handsontable/handsontable
Explains how to add or change the demo pages that Handsontable's visual regression suite photographs, including per-feature routes in the js demo and the shared grid.
Kc Screenshot
imran31415/kube-coder
Capture desktop + mobile, dark + light screenshots of the kube-coder dashboard SPA for visual QA of a UI change.
Visual QA
liangdabiao/Godogen
Visual quality assurance — analyze game screenshots for defects, compare against reference, check motion in frame sequences.
Meticulous Fix
FlintSH/Flare
Fix the visual diffs that have been reviewed and rejected on a Meticulous test run, following their review comments if given.
Visual QA For Web And Terminal UIs
code-yeongyu/oh-my-openagent
Checks a built UI against a human-interface checklist and any reference image, pairing day and night screenshots at two screen widths.
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Questions about Visual Validation
What does Visual Validation do?
Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions. Visual Validation is an agent skill from alinaqi/maggy.
When should I use Visual Validation?
Visual Validation fits situations like: tasks that involve Visual regression testing.
How do I install Visual Validation in Claude Code?
Run `npx skills add alinaqi/maggy --skill visual-validation -a claude-code`. Or copy the skill folder (skills/visual-validation in alinaqi/maggy) into .claude/skills/visual-validation in your project. Claude Code loads it when a task matches its description.
How do I install Visual Validation in Codex?
Run `npx skills add alinaqi/maggy --skill visual-validation -a codex`. Or copy the skill folder (skills/visual-validation in alinaqi/maggy) into .agents/skills/visual-validation in your project. Codex loads it when a task matches its description.
Can I use Visual Validation 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 alinaqi/maggy --skill visual-validation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visual-validation, .gemini/skills/visual-validation, .github/skills/visual-validation and .opencode/skills/visual-validation in your project.
What does Visual Validation need to run?
Going by SKILL.md and its folder, Visual Validation needs the command-line tools its instructions call (brew, git, python3 and curl). Our summary lists: Python 3.
Does Visual Validation access the network?
SKILL.md contains no URLs. Its commands use git and curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Visual Validation 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. Review the folder before installing.
What licence does Visual Validation use?
Visual Validation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Visual Validation use?
About 818 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Visual Validation?
Skills that share tags, products or a category with Visual Validation: Review Local UI Screenshots (xiaocang/easydict_win32, 103 stars), Handsontable Visual Test Demos (handsontable/handsontable, 22k stars), Kc Screenshot (imran31415/kube-coder, 388 stars) and Visual QA (liangdabiao/Godogen, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Visual Validation?
alinaqi (a GitHub user) maintains it in alinaqi/maggy, which has 707 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on September 24, 2026.
Source: alinaqi/maggy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.