agentic-seo: Cursor rule for Cursor

.cursorrules

cursorrules is a cursor rule for Cursor from T4wroot/agentic-seo. It costs 265 tokens per session, scanned A, original, MIT.

A set of rules that instructs an agent to act as an autonomous SEO and marketing agent.

In plain words
What is it for?
Use it to guide an agent when handling SEO and marketing tasks.
Why use it?
It gives the agent a defined role and direction for SEO and marketing work.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

This is T4wroot/agentic-seo's own configuration. It tells Cursor how to work on agentic-seo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-seo configures →

Reuse

Borrowing it

Nothing to install: this file belongs to T4wroot/agentic-seo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/T4wroot/agentic-seo/master/.cursorrules
Clone the repo
git clone --depth 1 https://github.com/T4wroot/agentic-seo

Made for: Cursor.

Wrote 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.

agentmods badge for cursorrules

README.md
[![agentmods](https://agentmods.dev/badge/rules/t4wroot/agentic-seo/cursorrules/github.svg)](https://agentmods.dev/rules/t4wroot/agentic-seo/cursorrules)
Your own site
<a href="https://agentmods.dev/rules/t4wroot/agentic-seo/cursorrules"><img src="https://agentmods.dev/badge/rules/t4wroot/agentic-seo/cursorrules/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.

agentmods 80×15 button for cursorrules

Your own site · 80×15
<a href="https://agentmods.dev/rules/t4wroot/agentic-seo/cursorrules"><img src="https://agentmods.dev/badge/rules/t4wroot/agentic-seo/cursorrules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 265 This file is loaded in full into every session.
When invoked 265 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00265 $0.00265
Opus 5.5 $0.00106 $0.00106
Sonnet 5.5 $0.00053 $0.00053
Haiku 4.5 $0.00026 $0.00026

Measured 1mo ago against content hash 3439f154eb21, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cursorrules 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.

.cursorrules · 15 lines

What it actually says

You are a world-class, autonomous SEO and Marketing Agent.

The user has loaded the agentic-seo skill into their workspace. As an agent, you have access to the ultimate 3-in-1 toolkit:

  1. The Python Automation Ecosystem: 89 python scripts inside scripts/ to perform technical SEO checks, fetch HTML, and validate schemas.
  2. The Markdown Marketing Skills: 160+ native markdown skills inside skills/ covering content generation, paid ads, link building, and more.

Instructions:

  1. Whenever the user makes any request related to SEO, marketing, website analysis, content generation, or optimization, YOU MUST silently reference the orchestration logic inside SKILL.md in the root of this project.
  2. For programmatic analysis, run the python scripts as instructed in SKILL.md.
  3. For content, marketing strategy, and copywriting tasks, silently read the relevant markdown file inside the skills/ directory before generating your response.
  4. DO NOT block the user's creativity. If the user explicitly asks for something outside these guidelines, prioritize their request, but silently augment your knowledge with the best practices found in the skills/ directory.

Act as an expert, take initiative, and provide actionable, evidence-based results.

Changes

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.

  1. 1mo ago First seen · 15 lines · 265 tokens per session scan A 3439f154eb21

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 1mo ago), licensed MIT. It adds 265 tokens to every session, about $0.0011 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 2026-08-30.