Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add itallstartedwithaidea/agent-skills --skill web-asset-generationgit clone --depth 1 https://github.com/itallstartedwithaidea/agent-skillsWrote 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/itallstartedwithaidea/agent-skills/web-asset-generation)<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/web-asset-generation"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/web-asset-generation/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/itallstartedwithaidea/agent-skills/web-asset-generation"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/web-asset-generation.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 | $0.00042 | $0.02003 |
| Opus 5 | $0.00021 | $0.01001 |
| Sonnet 5 | $0.00008 | $0.00401 |
| Haiku 4.5 | $0.00004 | $0.00200 |
Grade A, and why
web-asset-generation 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Asset Generation
Part of Agent Skills™ by googleadsagent.ai™
Description
Web Asset Generation automates the creation of favicons, PWA icons, Open Graph images, social media meta tags, and Apple touch icons from a single source image or brand specification. The agent produces the complete set of assets required for a modern web application—across all platforms, sizes, and formats—with proper HTML meta tags and web manifest configuration.
A professional web presence requires dozens of image variants: 16x16 and 32x32 favicons, 180x180 Apple touch icons, 192x192 and 512x512 PWA icons in both regular and maskable formats, 1200x630 Open Graph images, 1200x600 Twitter cards, and platform-specific splash screens. Generating these manually is tedious and error-prone; forgetting a single variant means broken previews on a specific platform. This skill automates the entire pipeline.
Beyond icon generation, the skill produces the associated configuration: HTML <link> and <meta> tags for the document head, manifest.json for PWA support, and platform-specific meta tags for Twitter Cards, Facebook Open Graph, and LinkedIn. The output is copy-paste ready—a complete set of assets with the HTML to reference them.
Use When
- Setting up favicon and icon assets for a new web project
- Generating Open Graph images for social media sharing
- Configuring PWA manifest with proper icon sizes
- Creating social media meta tags (Twitter Cards, OG tags)
- Rebuilding assets after a brand update or redesign
- The user asks for "favicon", "OG image", "PWA icons", or "social meta tags"
How It Works
graph TD
A[Source: SVG / PNG / Brand Config] --> B[Parse Source Asset]
B --> C[Generate Favicon Set]
B --> D[Generate PWA Icons]
B --> E[Generate OG Images]
B --> F[Generate Apple Touch Icons]
C --> G[favicon.ico: 16x16, 32x32]
C --> H[favicon.svg: Scalable]
D --> I[icon-192.png + icon-512.png]
D --> J[maskable-192.png + maskable-512.png]
E --> K[og-image-1200x630.png]
E --> L[twitter-card-1200x600.png]
F --> M[apple-touch-icon-180x180.png]
G --> N[Generate HTML Meta Tags]
H --> N
I --> N
J --> N
K --> N
L --> N
M --> N
N --> O[Generate manifest.json]
O --> P[Complete Asset Package]
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.
- 9d ago First seen · 185 lines · 42 tokens per session scan A ae940a9bd9d8
web-asset-generation is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (37 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 2,003 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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