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Agent skill · Audited from source

web-asset-generator

skill · alonw0/web-asset-generatorMIT licenceAudited 20 Oct 2026 · source 9020b1134918

★ 520pushed 265 days ago
✓SAFEGrade B · 89/100 · 20 Oct 2026 · 9020b11
520repo stars · whole alonw0/web-asset-generator

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 9020b1134918 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph…

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Cite this page

ModelsAtlas. “web-asset-generator (alonw0/web-asset-generator)”. Retrieved 20 Oct 2026. https://modelsatlas.com/skills/alonw0/web-asset-generator

Trust audit

Audit 0.4.1 · source read 20 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codePASS0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 9020b1134918 · 20 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisheralonw0 GitHub userOwner of the repository this skill is read from
  • Source folderalonw0/web-asset-generator/skills/web-asset-generatorThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict9020b1134918A new audit runs when the source changes
  • Repository statusNot archivedLast push 265 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph…

---
name: web-asset-generator
description: Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph images from logos or text slogans. Handles image resizing, text-to-image generation, and provides proper HTML meta tags.
---

# Web Asset Generator

Generate professional web assets from logos or text slogans, including favicons, app icons, and social media meta images.

## Quick Start

When a user requests web assets:

1. **Use AskUserQuestion tool to clarify needs** if not specified:
   - What type of assets they need (favicons, app icons, social images, or everything)
   - Whether they have source material (logo image vs text/slogan)
   - For text-based images: color preferences

2. **Check for source material**:
   - If user uploaded an image: use it as the source
   - If user provides text/slogan: generate text-based images

3. **Run the appropriate script(s)**:
   - Favicons/icons: `scripts/generate_favicons.py`
   - Social media images: `scripts/generate_og_images.py`

4. **Provide the generated assets and HTML tags** to the user

## Using Interactive Questions

**IMPORTANT**: Always use the AskUserQuestion tool to gather requirements instead of plain text questions. This provides a better user experience with visual selection UI.

### Why Use AskUserQuestion?

✅ **Visual UI**: Users see options as clickable chips/tags instead of typing responses
✅ **Faster**: Click to select instead of typing out answers
✅ **Clearer**: Descriptions explain what each option means
✅ **Fewer errors**: No typos or misunderstandings from free-form text
✅ **Professional**: Consistent with modern Claude Code experience

### Example Flow

**User request**: "I need web assets"

**Claude uses AskUserQuestion** (not plain text):
```
What type of web assets do you need?                    [Asset type]
○ Favicons only - Browser tab icons (16x16, 32x32, 96x96) and favicon.ico
○ App icons only - PWA icons for iOS/Android (180x180, 192x192, 512x512)
○ Social images only - Open Graph images for Facebook, Twitter, WhatsApp, LinkedIn
● Everything - Complete package: favicons + app icons + social images
```

User clicks → Claude immediately knows what to generate

### Question Patterns

Below are the standard question patterns to use in various scenarios. Copy the structure and adapt as needed.

### Question Pattern 1: Asset Type Selection

When the user's request is vague (e.g., "create web assets", "I need icons"), use AskUserQuestion:

**Question**: "What type of web assets do you need?"
**Header**: "Asset type"
**Options**:
- **"Favicons only"** - Description: "Browser tab icons (16x16, 32x32, 96x96) and favicon.ico"
- **"App icons only"** - Description: "PWA icons for iOS/Android (180x180, 192x192, 512x512)"
- **"Social images only"** - Description: "Open Graph images for Facebook, Twitter, WhatsApp, LinkedIn"
- **"Everything"** - Description: "Complete package: favicons + app icons + social images"

### Question Pattern 2: Source Material

When the asset type is determined but source is unclear:

**Question**: "What source material will you provide?"
**Header**: "Source"
**Options**:
- **"Logo image"** - Description: "I have or will upload a logo/image file"
- **"Emoji"** - Description: "Generate favicon from an emoji character"
- **"Text/slogan"** - Description: "Create images from text only"
- **"Logo + text"** - Description: "Combine logo with text overlay (for social images)"

### Question Pattern 3: Platform Selection (for social images)

When user requests social images but doesn't specify platforms:

**Question**: "Which social media platforms do you need images for?"
**Header**: "Platforms"
**Multi-select**: true
**Options**:
- **"Facebook/WhatsApp/LinkedIn"** - Description: "Standard 1200x630 Open Graph format"
- **"Twitter"** - Description: "1200x675 (16:9 ratio) for large image cards"
- **"All platforms"** - Description: "Generate all variants including square format"

### Question Pattern 4: Color Preferences (for text-based images)

When generating text-based social images:

**Question**: "What colors should we use for your social images?"
**Header**: "Colors"
**Options**:
- **"I'll provide colors"** - Description: "Let me specify exact hex codes for brand colors"
- **"Default theme"** - Description: "Use default purple background (#4F46E5) with white text"
- **"Extract from logo"** - Description: "Auto-detect brand colors from uploaded logo"
- **"Custom gradient"** - Description: "Let me choose gradient colors"

### Question Pattern 5: Icon Type Clarification

When user says "create icons" or "generate icons" (ambiguous):

**Question**: "What kind of icons do you need?"
**Header**: "Icon type"
**Options**:
- **"Website favicon"** - Description: "Small browser tab icon"
- **"App icons (PWA)"** - Description: "Mobile home screen icons"
- **"Both"** - Description: "Favicon + app icons"

### Question Pattern 6: Emoji Selection

When user selects "Emoji" as source material:

**Step 1**: Ask for project description (free text):
- "What is your website/app about?"
- Use this to generate emoji suggestions

**Step 2**: Use AskUserQuestion to present the 4 suggested emojis:

**Question**: "Which emoji best represents your project?"
**Header**: "Emoji"
**Options**: (Dynamically generated based on project description)
- Example: **"🚀 Rocket"** - Description: "Rocket, launch, startup, space"
- Example: **"☕ Coffee"** - Description: "Coffee, cafe, beverage, drink"
- Example: **"💻 Laptop"** - Description: "Computer, laptop, code, dev"
- Example: **"🎨 Art"** - Description: "Art, design, creative, paint"

**Implementation**:
```bash
# Get suggestions
python scripts/generate_favicons.py --suggest "coffee shop" output/ all

# Then generate with selected emoji
python scripts/generate_favicons.py --emoji "☕" output/ all
```

**Optional**: Ask about background

Excerpt, first 6,003 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 9020b11

Download folder ↗
pip install pilmoji emoji --break-system-packages

Commands as the repository documents them: shown, never run by us. Our verdict covers commit 9020b1134918 only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 9020b1134918

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/alonw0/web-asset-generator/badge.svg)](https://modelsatlas.com/skills/alonw0/web-asset-generator/)

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Similar skills

Add this badge to your README

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Questions about web-asset-generator

What does the web-asset-generator skill do?
Claude skill to generate favicons, app icons, and social media images from logos, text, or emojis. Supports emoji suggestions, validation, and framework auto-integration.
Is web-asset-generator safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can web-asset-generator access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does web-asset-generator work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (9020b1134918), read on 2026-10-20. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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