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 JakeLabate/Claude-SEO-Skills --skill llms-txt-auditgit clone --depth 1 https://github.com/JakeLabate/Claude-SEO-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/jakelabate/claude-seo-skills/llms-txt-audit)<a href="https://agentmods.dev/skills/jakelabate/claude-seo-skills/llms-txt-audit"><img src="https://agentmods.dev/badge/skills/jakelabate/claude-seo-skills/llms-txt-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/jakelabate/claude-seo-skills/llms-txt-audit"><img src="https://agentmods.dev/badge/skills/jakelabate/claude-seo-skills/llms-txt-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 | $0.00187 | $0.01987 |
| Opus 5 | $0.00093 | $0.00993 |
| Sonnet 5 | $0.00037 | $0.00397 |
| Haiku 4.5 | $0.00019 | $0.00199 |
Grade A, and why
llms-txt-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 11d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
llms.txt Audit
Audit a website's /llms.txt file and produce an actionable report for AI/LLM discoverability.
When to use this skill
Use this skill when the user asks to:
- Audit, validate, or check an
llms.txtorllms-full.txtfile - Make a site discoverable and usable by AI assistants, chatbots, and LLMs
- Find broken, redirecting, or blocked links inside
llms.txt - Confirm
llms.txtfollows the llmstxt.org structure (H1 title, summary, link sections) - Decide what should go into
llms.txtvs.llms-full.txt
Background: what llms.txt is
llms.txt is a proposed standard (https://llmstxt.org) for a markdown file at the site root (/llms.txt) that gives LLMs a concise, curated map of the site's most useful content. Unlike robots.txt (which controls crawling) or sitemap.xml (which lists every URL), llms.txt is hand-curated and human-readable. Its structure:
# Project Name ← required: the only mandatory element
> A short summary. ← recommended blockquote summary
Optional free-form markdown with key context (no headings).
## Docs ← H2 section of curated links
- [Quickstart](https://example.com/quickstart): How to get started.
- [API reference](https://example.com/api): Full API docs.
## Optional ← an "Optional" section may be skipped by LLMs with limited context
- [Changelog](https://example.com/changelog): Release history.
A companion /llms-full.txt may contain the full expanded content in one file. This skill audits structure and link health against that spec.
Inputs to collect
Before starting, confirm with the user:
- Site URL or llms.txt URL — a live site root (e.g.,
https://example.com, which fetches/llms.txt) or a specific llms.txt URL (--llms). - Scope — how many referenced links to probe (default 300, capped with
--max-urls). - Probing — whether to fetch each link to check status/redirect/noindex (default on). Use
--no-probefor a fast structure-only pass.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 150 lines · 187 tokens per session scan A 2717cb3b126c
llms-txt-audit is a skill published in the GitHub repository JakeLabate/Claude-SEO-Skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 187 tokens to every session and 1,987 once invoked, about $0.0009 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 2026-08-31.
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