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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/yeachan-heo/oh-my-codex --skill web-clone- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads web-clone automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Web Clone deprecated
Hard-deprecated. Do not invoke or route this skill. Use $visual-ralph directly for live-URL visual implementation and visual QA workflows.
<Do_Not_Use_When>
- User only has screenshot references without a live URL — use
$visual-verdictdirectly - User wants to modify, redesign, or "improve" the site — use standard implementation flow
- Target requires authentication, payment flows, or backend API parity — out of scope for v1
- Multi-page / multi-route deep cloning — v1 handles single-page scope only </Do_Not_Use_When>
<Scope_Limits> v1 scope: Single page clone of the provided URL.
Included:
- Layout structure (header, nav, content areas, sidebar, footer)
- Typography (font families, sizes, weights, line heights)
- Colors, spacing, borders, border-radius
- Core interactions: navigation links, buttons, form elements, dropdowns, modals, toggles
- Responsive hints from the extracted layout (flexbox/grid patterns)
Excluded:
- Backend API integration or data fetching
- Authentication flows or protected content
- Dynamic/personalized content (user-specific data)
- Multi-page crawling or route graph cloning
- Third-party widget functionality (maps, embeds, chat widgets)
- Image/asset replication (use placeholders for external images)
Legal notice: Only clone sites you own or have explicit permission to replicate. Respect copyright and trademarks. </Scope_Limits>
<Prerequisites> Playwright MCP server must be available for browser automation.- If no browser tools are found, instruct the user:
Playwright MCP is required. Configure it: codex mcp add playwright npx "@playwright/mcp@latest" - Required tools:
browser_navigate,browser_snapshot,browser_take_screenshot,browser_evaluate,browser_wait_for. Optional:browser_click,browser_network_requests. </Prerequisites>
<Tool_Usage>
- If no browser tools are found, stop immediately and instruct the user to configure Playwright MCP.
- Use
browser_snapshot(accessibility tree) for structural understanding — it is far more token-efficient than screenshots. - Use
browser_take_screenshotonly when visual verification is needed (Pass 1 baseline, Pass 4 comparison). - Use
browser_evaluatefor DOM/style extraction — pass the scripts from this skill EXACTLY as written (do not modify them). - If running within ralph, use
state_write/state_readfor web-clone state persistence between iterations. - Skip Codex consultation for straightforward extraction; use it only if verification repeatedly fails on the same issue. </Tool_Usage>
<State_Management> Persist extraction and progress data so the pipeline can resume if interrupted.
- After Pass 1 completes: Write extraction summary to
.omx/state/{scope}/web-clone-extraction.jsoncontaining:target_url,extracted_attimestampscreenshot_path(path totarget-full.png)landmark_count(number of nav, main, footer, form elements)interactive_count(number of detected interactive elements)extraction_size_kb(approximate size of DOM extraction data)
- After each Pass 4 verification: Append the composite verdict to
.omx/state/{scope}/web-clone-verdicts.json. - When running within ralph: Also persist the
visualportion of the composite verdict to.omx/state/{scope}/ralph-progress.jsonfor ralph compatibility, mappingvisual.score→ top-levelscoreandvisual.verdict→ top-levelverdict. - On completion or failure: Write final status with
completed_atorfailed_attimestamp. </State_Management>
<Context_Budget> Pass 1 extraction can produce very large data. Apply these limits proactively:
- DOM tree: If the serialized JSON exceeds ~30KB, reduce
depthparameter from 8 to 4 and re-extract. Focus on top-level structure. - Accessibility snapshot: If it exceeds ~20KB, this is normal for complex pages. Summarize key landmarks rather than keeping the full tree.
- Interactive elements: Cap at 50 elements. If more exist, keep only visible ones (
isVisible: true). - Total extraction context: Aim for under 60KB combined. If exceeded, prioritize: screenshot > accessibility snapshot > interactive elements > DOM styles.
- Image tokens: Full-page screenshots are expensive. Take one baseline in Pass 1 and one comparison in Pass 4. Do not take screenshots between iterations unless debugging a specific region. </Context_Budget>
Pass 1 — Extract
Capture the target page's structure, styles, interactions, and visual baseline.
- Navigate:
browser_navigatetotarget_url. - Wait for render:
browser_wait_forwith appropriate condition (network idle or timeout of 5s) to ensure full render including lazy-loaded content. - Accessibility snapshot:
browser_snapshot— captures the semantic tree (roles, names, values, interactive states). This is your primary structural reference. - Full-page screenshot:
browser_take_screenshotwithfullPage: true— save as reference baselinetarget-full.png. - DOM + computed styles:
browser_evaluatewith the following script. COPY THIS SCRIPT EXACTLY — do not modify it:(() => { const walk = (el, depth = 0) => { if (depth > 8 || !el.tagName) return null; const cs = window.getComputedStyle(el); return { tag: el.tagName.toLowerCase(), id: el.id || undefined, classes: [...el.classList].slice(0, 5), styles: { display: cs.display, position: cs.position, width: cs.width, height: cs.height, padding: cs.padding, margin: cs.margin, fontSize: cs.fontSize, fontFamily: cs.fontFamily, fontWeight: cs.fontWeight, lineHeight: cs.lineHeight, color: cs.color, backgroundColor: cs.backgroundColor, border: cs.border, borderRadius: cs.borderRadius, flexDirection: cs.flexDirection, justifyContent: cs.justifyContent, alignItems: cs.alignItems, gap: cs.gap, gridTemplateColumns: cs.gridTemplateColumns, }, text: el.childNodes.length === 1 && el.childNodes[0].nodeType === 3 ? el.textContent?.trim().slice(0, 100) : undefined, children: [...el.children].map(c => walk(c, depth + 1)).filter(Boolean), }; }; return walk(document.body); })() - Interactive elements:
browser_evaluateto catalog all interactable elements. COPY THIS SCRIPT EXACTLY — do not modify it:(() => { const results = []; document.querySelectorAll( 'button, a[href], input, select, textarea, [role="button"], ' + '[onclick], [aria-haspopup], [aria-expanded], details, dialog' ).forEach(el => { results.push({ tag: el.tagName.toLowerCase(), type: el.type || el.getAttribute('role') || 'interactive', text: (el.textContent || '').trim().slice(0, 80), href: el.href || undefined, ariaLabel: el.getAttribute('aria-label') || undefined, isVisible: el.offsetParent !== null, }); }); return results; })() - Network patterns (optional):
browser_network_requests— note XHR/fetch calls for reference. Do not attempt to replicate backends.
Keep all extraction results in working memory for Pass 2.
Pass 2 — Build Plan
Analyze extraction results and decompose into a component plan.
-
Identify page regions: From DOM tree + accessibility snapshot, identify major sections:
- Navigation bar / header
- Hero / banner section
- Main content area(s)
- Sidebar (if present)
- Footer
- Overlay elements (modals, drawers)
-
Map components: For each region, define:
- Component name and responsibility
- Key style properties (from computed styles)
- Content summary (headings, text, images)
- Child components if nested
-
Create interaction map: From interactive elements list:
- Navigation links → anchor tags with
href - Form elements → proper
<form>with inputs, labels, validation - Buttons → click handlers (toggle, submit, navigate)
- Dropdowns/modals → show/hide toggle with transitions
- Accordions/tabs → state-based visibility
- Navigation links → anchor tags with
-
Extract design tokens: Identify recurring values:
- Color palette (primary, secondary, background, text colors)
- Font stack (families, size scale, weight scale)
- Spacing scale (padding/margin patterns)
- Border radius values
-
Define file structure:
{output_dir}/ ├── index.html (or App.tsx / App.vue) ├── styles/ │ ├── globals.css (reset + tokens) │ └── components.css (or scoped styles) ├── scripts/ │ └── interactions.js (toggle, modal, dropdown logic) └── assets/ (placeholder images)Adapt to
tech_stackif specified (React components, Vue SFCs, etc.).
Pass 3 — Generate Clone
Implement the clone from the plan. Work component-by-component.
- Scaffold: Create the directory structure and base files.
- Design tokens first: Implement CSS custom properties or Tailwind config from extracted tokens.
- Layout shell: Build the page-level layout matching the original's flexbox/grid structure.
- Components: Implement each region top-down:
- Match DOM structure from extraction (semantic tags, landmark roles)
- Apply computed styles — prioritize layout properties, then typography, then decorative
- Use actual extracted text content; use placeholder
<img>for external images
- Interactions: Wire up detected behaviors:
- Navigation: working
<a>tags (to#anchors or stubs for v1) - Forms: proper structure with
<label>, input types, placeholder text - Toggles: JavaScript for dropdowns, modals, accordions
- Hover/focus states: CSS transitions matching original behavior
- Navigation: working
- Responsive: If the original uses responsive breakpoints (detectable from media queries in computed styles or from viewport behavior), add basic responsive rules.
Pass 4 — Verify
Compare the clone against the original across three dimensions.
-
Serve the clone: Start a local server for the generated project:
npx serve {output_dir} -l 3456 --no-clipboardIf
npx serveis unavailable, fall back to:python3 -m http.server 3456 -d {output_dir}. The clone will be accessible athttp://localhost:3456. -
Visual verification:
- Navigate to the clone with Playwright:
browser_navigateto clone URL. - Take full-page screenshot of clone.
- Run
$visual-verdictwith:reference_images=["target-full.png"],generated_screenshot="clone-full.png",category_hint="web-clone". - The visual portion of the verdict feeds directly into the composite verdict below.
- Visual pass threshold: score >= 85.
- Navigate to the clone with Playwright:
-
Structural verification: Compare landmark counts:
- Count
<nav>,<main>,<footer>,<form>,<button>,<a>in both original and clone. - Structure passes when all major landmarks exist (missing landmarks = fail).
- Count
-
Functional spot-check: Test 2–3 detected interactions via Playwright:
- Click a navigation link → verify URL change or scroll behavior
- Toggle a dropdown/modal → verify visibility change
- Interact with a form field → verify it accepts input
- Use
browser_clickandbrowser_snapshotto verify state changes.
-
Emit composite verdict:
{
"visual": {
"score": 82,
"verdict": "revise",
"category_match": true,
"differences": ["Header spacing tighter than original"],
"suggestions": ["Increase nav gap to 24px"]
},
"functional": {
"tested": 3,
"passed": 2,
"failures": ["Dropdown does not open on click"]
},
"structure": {
"landmark_match": true,
"missing": [],
"extra": []
},
"overall_verdict": "revise",
"priority_fixes": [
"Fix dropdown toggle interaction",
"Increase header nav spacing"
]
}
Pass 5 — Iterate
Fix highest-impact issues and re-verify.
- Prioritize fixes by impact: layout > interactions > spacing > typography > colors.
- Apply targeted edits: Fix only the issues listed in
priority_fixes. Do not refactor working code. - Re-verify: Repeat Pass 4.
- Loop: Continue until
overall_verdictispassOR max 5 iterations reached. - Final report: Summarize what was successfully cloned, any remaining differences, and elements that could not be replicated.
<Output_Contract> After each verification pass, emit a composite web-clone verdict JSON:
{
"visual": {
"score": 0,
"verdict": "revise",
"category_match": false,
"differences": ["..."],
"suggestions": ["..."],
"reasoning": "short explanation"
},
"functional": {
"tested": 0,
"passed": 0,
"failures": ["..."]
},
"structure": {
"landmark_match": false,
"missing": ["..."],
"extra": ["..."]
},
"overall_verdict": "revise",
"priority_fixes": ["..."]
}
Rules:
visualfollows theVisualVerdictshape from$visual-verdictfunctional.tested/passedare counts;failureslist specific interaction failuresstructure.landmark_matchistruewhen all major HTML landmarks (nav, main, footer, forms) are presentoverall_verdict:passwhen visual.score >= 85 AND functional.failures is empty AND structure.landmark_match is truepriority_fixes: ordered by impact, drives the next iteration </Output_Contract>
<Iteration_Thresholds>
- Visual pass: score >= 85
- Functional pass: zero failures on tested interactions
- Structure pass: all major landmarks present
- Overall pass: all three dimensions pass
- Max iterations: 5 (report best achieved result if threshold not met) </Iteration_Thresholds>
<Error_Handling>
- Playwright MCP unavailable: Stop. Instruct user to configure it. Do not attempt to clone without browser tools.
- Page fails to load: Report the URL and HTTP status. Suggest the user verify the URL is accessible.
- browser_evaluate returns empty: The page may use heavy client-side rendering. Wait longer (
browser_wait_forwith extended timeout) and retry once. - Visual score stuck below threshold after 3 iterations: Report the current state as best-effort. List the unresolved differences for the user.
- Extraction data too large for context: Truncate deep DOM branches (depth > 6). Focus on top-level structure and defer nested details to iteration fixes. </Error_Handling>
Pass 1: Navigate to HN. Extract: table-based layout, orange (#ff6600) nav bar, story list with links + points + comments, footer. Screenshot saved.
Pass 2: Regions: nav bar (logo + links), story table (30 rows × title + meta), footer. Tokens: orange #ff6600, gray #828282, Verdana font, 10pt base. Interaction map: story links (external), comment links, "more" pagination.
Pass 3: Generate index.html with HN-style table layout, CSS matching extracted colors/fonts, working <a> tags for stories.
Pass 4: Visual score=78 (font size off, spacing between stories too tight). Functional 2/2 (links work). Structure match=true.
Pass 5 iteration 1: Fix font to Verdana 10pt, increase row padding → score=88. Functional 2/2. Structure match. → overall_verdict: pass. Done.
</Example>
<Final_Checklist>
- Pass 1 extraction completed and summarized (screenshot + accessibility tree + DOM styles + interactions)
- Pass 2 component plan created with file structure
- Pass 3 clone generated and files written to
output_dir - Clone serves locally without errors
- Pass 4 composite verdict emitted with all three dimensions
-
overall_verdictispass, or max 5 iterations reached with best-effort report - When in ralph: visual verdict persisted to
ralph-progress.json - Extraction summary persisted to
web-clone-extraction.json</Final_Checklist>
FAQ
What does the web-clone skill do?
Web Clone deprecated shim
How do I install web-clone?
Run npx skills add https://github.com/yeachan-heo/oh-my-codex --skill web-clone in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/web-clone/ (personal) or .claude/skills/web-clone/ (project).
Which AI agents can use web-clone?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is web-clone safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains web-clone?
It is published by yeachan-heo in yeachan-heo/oh-my-codex. It has 80 recorded installs.
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