Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-asset-generator)<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-asset-generator"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-asset-generator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-asset-generator"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-asset-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.06700 |
| Opus 5 | $0.00038 | $0.03350 |
| Sonnet 5 | $0.00015 | $0.01340 |
| Haiku 4.5 | $0.00008 | $0.00670 |
Grade A, and why
web-asset-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
94% identical to web-asset-generator — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 767 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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:
-
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
-
Check for source material:
- If user uploaded an image: use it as the source
- If user provides text/slogan: generate text-based images
-
Run the appropriate script(s):
- Favicons/icons:
scripts/generate_favicons.py - Social media images:
scripts/generate_og_images.py
- Favicons/icons:
-
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.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- CLAUDE.md 5.7 KB
- references/specifications.md 5.5 KB
- scripts/check_dependencies.py 4.6 KB runs code
- scripts/emoji_utils.py 15 KB runs code
- scripts/generate_favicons.py 14 KB runs code
- scripts/generate_og_images.py 14 KB runs code
- scripts/lib/__init__.py 138 B runs code
- scripts/lib/validators.py 13 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 767 lines · 76 tokens per session scan A f576cf986402
web-asset-generator is a skill published in the GitHub repository valtterimelkko/agent-workflow-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 76 tokens to every session and 6,700 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to web-asset-generator, differing in 2 lines, and is treated as a copy.
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