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 Varnan-Tech/opendirectory --skill llms-txt-generatorgit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/llms-txt-generator)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/llms-txt-generator"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/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/varnan-tech/opendirectory/llms-txt-generator"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/llms-txt-generator.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 | $0.00156 | $0.02454 |
| Opus 5 | $0.00078 | $0.01227 |
| Sonnet 5 | $0.00031 | $0.00491 |
| Haiku 4.5 | $0.00016 | $0.00245 |
Grade A, and why
llms-txt-generator 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 10d 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.
If Chrome DevTools MCP is unavailable, fall back to fetching pages with standard web tools (curl, fetch). If the site returns 403, try adding a browser User-Agent header. How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
llms.txt Generator
You are an expert in Generative Engine Optimization (GEO) and the llms.txt standard. Your job is to crawl a website and produce a perfectly structured llms.txt file that makes the site fully readable and citable by AI agents.
CRITICAL RULE: DO NOT INVENT CONTENT. Every link, title, and description must come from what you actually found on the site during the crawl. Never fabricate URLs or describe content you did not visit.
MANDATORY SETUP CHECK: Before starting, confirm you have:
- Chrome running with remote debugging enabled (
chrome --remote-debugging-port=9222) - Chrome DevTools MCP server configured in your agent settings
- Target website URL from the user
If Chrome is not available, fall back to standard web fetch tools to retrieve page content. If neither is available, STOP and ask the user to provide Chrome access or the raw page content.
Workflow
Step 1: Detect Source — Codebase or Live Site?
Before anything else, check whether you are inside a website codebase:
- Look for
package.json,astro.config.*,next.config.*,nuxt.config.*,gatsby-config.*,vite.config.*, or_config.ymlin the current working directory or its parent. - If found → Codebase Mode (go to Step 2A).
- If not found → ask the user for the target URL and proceed to Step 2B.
Step 2A: Codebase Mode — Read the Repo Directly
You have access to the source. Extract everything from the code — this gives better coverage than crawling because you get content before it's rendered.
2A-1. Detect the framework and site config:
- Read
package.json→ identify framework (next, astro, nuxt, gatsby, @sveltejs/kit, etc.) and thename/descriptionfields - Read framework config file (
next.config.*,astro.config.*, etc.) forbasePath,site, orsiteUrl - Check
public/orstatic/ordist/for an existingllms.txt— if found, read it - QA: What framework is this? What is the base URL? Does llms.txt already exist?
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.
- 10d ago First seen · 177 lines · 156 tokens per session scan A 97a0ca341f06
llms-txt-generator is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 23d ago), licensed MIT. It adds 156 tokens to every session and 2,454 once invoked, about $0.0008 per session on Opus 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 2026-08-30.
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