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 cartoonitunes/inlay-skills --skill setup-llms-txtgit clone --depth 1 https://github.com/cartoonitunes/inlay-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/cartoonitunes/inlay-skills/setup-llms-txt)<a href="https://agentmods.dev/skills/cartoonitunes/inlay-skills/setup-llms-txt"><img src="https://agentmods.dev/badge/skills/cartoonitunes/inlay-skills/setup-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/cartoonitunes/inlay-skills/setup-llms-txt"><img src="https://agentmods.dev/badge/skills/cartoonitunes/inlay-skills/setup-llms-txt.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 | $0.00066 | $0.01092 |
| Opus 5.5 | $0.00026 | $0.00437 |
| Sonnet 5.5 | $0.00013 | $0.00218 |
| Haiku 4.5 | $0.00007 | $0.00109 |
Grade A, and why
setup-llms-txt scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://YOUR_SITE/llms.txt" | head -5 How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup llms.txt Skill
Create and configure llms.txt and llms-full.txt for any website. These files help LLMs understand your site — think of them as robots.txt for AI models.
What is llms.txt?
llms.txt is a standard file (served at /llms.txt) that tells AI models:
- What your site/product does
- Where to find key resources (docs, API, guides)
- How to interact with your service
llms-full.txt is an expanded version with full content that LLMs can ingest without following links.
Spec: https://llmstxt.org
Workflow
Step 1: Analyze the Project
Examine the project structure to understand:
- What the site/product does
- Key pages and documentation
- API endpoints (if any)
- Framework being used
# Check framework
ls package.json next.config.* astro.config.* gatsby-config.* nuxt.config.* 2>/dev/null
# Find key content
find . -name "*.md" -o -name "*.mdx" | head -20
ls -la public/ static/ 2>/dev/null
# Check for existing llms.txt
curl -s "https://YOUR_SITE/llms.txt" | head -5
Step 2: Generate llms.txt
Create the file following the standard format:
# [Site/Product Name]
> [One-line description of what the site does]
## Docs
- [Getting Started](/docs/getting-started): How to get started with [Product]
- [API Reference](/docs/api): Full API documentation
- [Examples](/docs/examples): Code examples and tutorials
## API
- Base URL: https://api.example.com
- [Authentication](/docs/auth): How to authenticate API requests
- [Rate Limits](/docs/rate-limits): API rate limiting details
## Key Pages
- [Pricing](/pricing): Plans and pricing
- [Blog](/blog): Latest updates and articles
- [Changelog](/changelog): Product updates
## Contact
- Support: [email protected]
- Twitter: @example
Guidelines:
- Use Markdown format
- Start with
#heading and>blockquote summary - Group links by category with
##headings - Use descriptive link text with brief explanations
- Include all important pages and resources
- Keep it concise — this is a summary, not full docs
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.
- 2mo ago First seen · 160 lines · 66 tokens per session scan A 1eacb31e81ba
setup-llms-txt is a skill published in the GitHub repository cartoonitunes/inlay-skills (1 stars, last pushed 6mo ago), licensed MIT. It adds 66 tokens to every session and 1,092 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
setup-llms-txt compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| setup-llms-txtcartoonitunes/inlay-skills | Skill | 1 | 6mo ago | MIT | A | 66 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |