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 guia-matthieu/clawfu-skills --skill llm-optimized-contentgit clone --depth 1 https://github.com/guia-matthieu/clawfu-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/guia-matthieu/clawfu-skills/llm-optimized-content)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/llm-optimized-content"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/llm-optimized-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/guia-matthieu/clawfu-skills/llm-optimized-content"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/llm-optimized-content.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 | $0.00053 | $0.02515 |
| Opus 5 | $0.00026 | $0.01257 |
| Sonnet 5 | $0.00011 | $0.00503 |
| Haiku 4.5 | $0.00005 | $0.00251 |
Grade A, and why
llm-optimized-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 — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM-Optimized Content & GEO
Create content optimized for AI-powered search using Generative Engine Optimization (GEO) principles.
Purpose
Create content optimized for both traditional search engines AND AI/LLM-powered search (ChatGPT, Perplexity, Google AI Overviews, Claude) using Generative Engine Optimization (GEO) principles.
What is GEO?
Generative Engine Optimization = Practices to ensure AI models:
- UNDERSTAND your content
- Judge it RELEVANT and RELIABLE
- USE it to formulate direct responses
Strategic Importance: Gartner predicts 25% drop in traditional search volume by 2026. Queries now average 23 words (vs. 4 before).
SEO vs GEO: Critical Difference
| Criteria | SEO (Traditional) | GEO (New Frontier) |
|---|---|---|
| Objective | Rank page on Google SERP | Become the SOURCE in AI response |
| Metric | Position on results page | Mention/citation in generated response |
| Mechanic | Links, backlinks, domain authority | Language, semantics, contextual relevance |
| User Result | Click to your site | Info consumed without click |
| Optimization | Keywords, tags, structure | Semantic clarity, E-E-A-T, direct answers |
GEO Optimization Strategies
1. Semantic Clarity & Relevance
Principle: AI must understand CONTEXT, not just keywords.
Actions:
- Dense in MEANING, not just keywords
- Natural vocabulary, no keyword stuffing
- Clear context in first 1-2 sentences
- Define technical terms at first appearance
❌ "Our SEO GEO optimization ranking solution"
✅ "GEO (Generative Engine Optimization) optimizes content so AI like
ChatGPT cites your brand in their responses."
2. Direct Answers (Answer-First)
Principle: Provide key answer at the BEGINNING, not the end.
Actions:
- Main answer in 1st paragraph
- Format: "Question → Immediate answer → Development"
- No "teasing" (saving answer for later)
Optimal Structure:
## [Question]
[Direct answer in 1-2 sentences]
[Detailed development]
[Concrete examples]
[Conclusion/Action]
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 · 407 lines · 53 tokens per session scan A 63271e65ba47
llm-optimized-content is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 53 tokens to every session and 2,515 once invoked, about $0.0003 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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