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 ai-bot-log-auditgit 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/ai-bot-log-audit)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/ai-bot-log-audit"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/ai-bot-log-audit/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/ai-bot-log-audit"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/ai-bot-log-audit.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 | $0.00063 | $0.03594 |
| Opus 5 | $0.00032 | $0.01797 |
| Sonnet 5 | $0.00013 | $0.00719 |
| Haiku 4.5 | $0.00006 | $0.00359 |
Grade A, and why
ai-bot-log-audit 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 — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Bot Log Audit
Analyze server logs to understand how AI crawlers retrieve your content, then optimize placement and structure for maximum citation probability. Based on Metehan Yeşilyurt's log file analysis framework.
When to Use This Skill
Use this skill when you need to:
- Audit AI bot crawl patterns on your site (what they fetch, how often, what they skip)
- Diagnose citation gaps — your content exists but AI search doesn't cite it
- Optimize content placement for LLM retrieval mechanics (lost-in-the-middle, embedding similarity)
- Compare AI bot behavior across different products (Google, OpenAI, Anthropic, Perplexity)
- Build a GEO strategy grounded in actual crawl data, not assumptions
- Identify which pages AI bots prioritize and which they ignore
This skill is particularly valuable for:
- SEO professionals adding AI search to their optimization scope
- Publishers monitoring AI traffic and content extraction
- Technical SEOs conducting log file analysis
- Content strategists deciding what to optimize for AI visibility
Methodology Foundation
Source Expert: Metehan Yeşilyurt (SEO Consultant, speaker at BrightonSEO, The Search Session)
Core Thesis: Log file analysis reveals the real mechanics of AI search retrieval. Different AI products (AI Overviews, AI Mode, Perplexity) use fundamentally different retrieval pipelines, so optimizing for "AI search" requires understanding each product's specific crawl and retrieval behavior.
"AI Overviews, AI Mode, and Web Guide are three completely different products with different retrieval behaviors. You can't optimize for 'AI search' as if it's one thing." — Metehan Yeşilyurt, The Search Session
Key Insight: The shift from traditional SEO to AI search optimization is from chasing clicks in deterministic SERPs to chasing citations in machine-generated text. Log files reveal the mechanics behind citation selection.
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Guides log analysis methodology | Which log data to provide |
| Identifies patterns in crawl behavior | Strategic priority of AI products |
| Recommends content placement optimizations | Content creation/modification scope |
| Maps retrieval behavior to optimization actions | Resource allocation for changes |
| Creates audit templates and checklists | Which recommendations to implement |
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 · 427 lines · 63 tokens per session scan A 3eb6737f91e3
ai-bot-log-audit is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 63 tokens to every session and 3,594 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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