Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/seoskillsai/seo-skills-ainpx agentmods add skills/seoskillsai/seo-skills-ai/seo-llms-txtWrote 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/seoskillsai/seo-skills-ai/seo-llms-txt)<a href="https://agentmods.dev/skills/seoskillsai/seo-skills-ai/seo-llms-txt"><img src="https://agentmods.dev/badge/skills/seoskillsai/seo-skills-ai/seo-llms-txt/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/seoskillsai/seo-skills-ai/seo-llms-txt"><img src="https://agentmods.dev/badge/skills/seoskillsai/seo-skills-ai/seo-llms-txt.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 | $0.00047 | $0.00394 |
| Opus 5 | $0.00023 | $0.00197 |
| Sonnet 5 | $0.00009 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
seo-llms-txt 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 12d 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.
What it actually says
Automated LLMs.txt & LLMs-Full.txt Generation Standard
Generates /public/llms.txt and /public/llms-full.txt files according to the llmstxt.org specification adopted by Anthropic, OpenAI, and Google.
📄 File Formats
1. /public/llms.txt (Concise Summary Feed)
# [Site Name]
> [High-level summary of the site, central entities, and primary value proposition.]
## Core Documentation & Tools
- [Full SEO Skills Directory](https://example.com/skills): Complete catalog of 22 AI SEO skills.
- [Technical SEO Audit Engine](https://example.com/skills/seo-audit): Automated technical diagnostic tool.
- [2026 Schema Engine](https://example.com/skills/seo-schema): Validated JSON-LD schema builder.
## Agent Implementations
- [Claude Code Integration](https://example.com/claude/): MCP servers and agent workflows for Anthropic Claude.
- [Google Antigravity Integration](https://example.com/antigravity/): Native skills and Gemini CLI pipelines.
2. /public/llms-full.txt (Complete Semantic Graph)
Contains complete article text, API specifications, and code snippets concatenated cleanly in markdown format for deep ingestion.
🛠️ CLI Generation Command
python scripts/llms_txt_builder.py --sitemap "public/sitemap-index.xml" --output "public/"
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.
- 12d ago First seen · 45 lines · 47 tokens per session scan A 5a78adbe9fc8
seo-llms-txt is a skill published in the GitHub repository seoskillsai/seo-skills-ai (15 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 394 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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