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 alinaqi/maggy --skill web-contentgit clone --depth 1 https://github.com/alinaqi/maggyWrote 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/alinaqi/maggy/web-content)<a href="https://agentmods.dev/skills/alinaqi/maggy/web-content"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/web-content/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/alinaqi/maggy/web-content"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/web-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.04040 |
| Opus 5 | $0.00010 | $0.02020 |
| Sonnet 5 | $0.00004 | $0.00808 |
| Haiku 4.5 | $0.00002 | $0.00404 |
Grade A, and why
web-content 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 — 681 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Content Skill
For creating web content optimized for both traditional SEO and AI discovery (ChatGPT, Perplexity, Claude, Gemini).
Sources: GEO Complete Guide | AI Search SEO | LLM Optimization | Generative Engine Optimization
Philosophy
SEO gets clicks. GEO gets citations.
Traditional SEO optimizes for Google rankings. Generative Engine Optimization (GEO) optimizes for being cited by AI assistants. Modern content needs both:
- SEO: Rank on search results pages
- GEO: Be cited in AI-generated answers (ChatGPT, Perplexity, Claude, Gemini)
AI traffic grew 1,200% between July 2024 and February 2025. Google's search share dropped below 90% for the first time in a decade. Optimize for both.
Content Structure for AI + SEO
The Golden Rule
Write for humans, structure for machines.
AI systems prefer:
- Short, clear, fact-based content
- Clean formatting (headers, bullets, tables)
- Standalone sections that can be quoted
- Direct answers to questions
Page Types & Templates
Homepage
## Homepage Structure
### Above the Fold
- **Headline**: Clear value proposition (what you do + for whom)
- **Subheadline**: How you deliver that value
- **Primary CTA**: One clear action
- **Trust signals**: Logos, testimonials, stats
### Content Sections
1. **Problem Statement**: Pain point you solve
2. **Solution Overview**: How you solve it (3-4 key features)
3. **Social Proof**: Testimonials, case studies, logos
4. **How It Works**: 3-step process (simple)
5. **Pricing Preview**: Or link to pricing page
6. **FAQ Section**: 5-7 common questions (GEO gold)
7. **Final CTA**: Repeat primary action
### Schema Required
- Organization schema (name, logo, founding date, social links)
- WebSite schema with SearchAction
- FAQ schema for questions section
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 · 681 lines · 21 tokens per session scan A d27d26ac5d28
web-content is a skill published in the GitHub repository alinaqi/maggy (707 stars, last pushed 4d ago), licensed MIT. It adds 21 tokens to every session and 4,040 once invoked, about $0.0001 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 2026-09-03.
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