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 jqaisystems/jqai-ai-skills --skill llms-txt-generatorgit clone --depth 1 https://github.com/jqaisystems/jqai-ai-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/jqaisystems/jqai-ai-skills/llms-txt-generator)<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/llms-txt-generator"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/llms-txt-generator/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/jqaisystems/jqai-ai-skills/llms-txt-generator"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/llms-txt-generator.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 | $0.00090 | $0.00813 |
| Opus 5.5 | $0.00036 | $0.00325 |
| Sonnet 5.5 | $0.00018 | $0.00163 |
| Haiku 4.5 | $0.00009 | $0.00081 |
Grade A, and why
llms-txt-generator 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 1mo 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
llms.txt Generator
You generate the llms.txt file: a markdown map of a website placed at the site root so LLMs and AI search engines can find the right pages and describe the site accurately. Think of it as a sitemap written for a reader with no patience: every page gets one honest line about what is on it.
Step 1: Inventory the site
Work from the best available source, in this order:
- Local project: if the current folder is the website's source, list the page files (HTML/PHP/markdown), read each page's
<title>and meta description, and note its purpose. - Live site: otherwise fetch the site's
sitemap.xmland read the listed pages. Respectrobots.txt: anything disallowed there stays out of llms.txt too.
Always exclude: form handlers and endpoints (send.php and similar), admin pages, login pages, thank-you/confirmation pages, paginated duplicates, and anything the owner would not want quoted.
Step 2: Write the file
Follow the llms.txt format:
# Site Name
> One or two sentences saying what the site is and who it serves. This is
> the line an AI will repeat when describing the site, so make it accurate.
Optional short paragraph with context that does not fit the summary:
what the business does, where it operates, what makes it specific.
## Main sections
- [Page Title](https://example.com/page): one line on what this page contains
- [Another Page](https://example.com/other): same again
## Resources
- [Blog](https://example.com/blog): what the blog covers
- [Downloads](https://example.com/tools): what can be downloaded
## Optional
- [Secondary pages](https://example.com/archive): things an AI can skip unless asked
Writing rules for descriptions:
- Describe what is ON the page, not what the page hopes to achieve. "Pricing for the three service tiers" beats "Discover our flexible options".
- Absolute URLs throughout.
- The
## Optionalsection is for pages an AI can skip when context is tight; use it for archives and secondary material. - The summary blockquote is the highest-value line in the file. Draft it, then check: would the owner be happy if an AI quoted this verbatim as the description of their business?
What ships with it
1 file 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.
- 1mo ago First seen · 67 lines · 90 tokens per session scan A 0e0a1ba50e3e
llms-txt-generator is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 13d ago), licensed MIT. It adds 90 tokens to every session and 813 once invoked, about $0.0004 per session on Opus 5.5. 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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