agentmods.dev

eGEOagents AGENTS.md

eGEOagents AGENTS.md is an instructions file for Codex, OpenCode from mverab/eGEOagents. It costs 919 tokens per session, scanned A, original, MIT.

Project instructions for E-GEO, a system that improves website content for AI-powered search services. They define when to read the OpenSpec rules and list commands for auditing, optimising, and processing website files.

In plain words
What is it for?
Use them to audit a URL, optimise a local file, process a folder, or plan larger changes that require an OpenSpec proposal.
Why use it?
They provide the project’s authoritative planning rules and show which command to use for each optimisation task.

Instructions file for CodexOpenCode

not rated 172 2d ago A scan 919 tokens original MIT
View the source file mverab/eGEOagents
Install

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.

agentmods
npx agentmods add instructions/mverab/egeoagents/agents-md
Clone the repo
git clone --depth 1 https://github.com/mverab/eGEOagents

Made for: Codex, OpenCode.

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 eGEOagents AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mverab/egeoagents/agents-md.svg)](https://agentmods.dev/instructions/mverab/egeoagents/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/mverab/egeoagents/agents-md"><img src="https://agentmods.dev/badge/instructions/mverab/egeoagents/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 919 This file is loaded in full into every session.
When invoked 919 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00919 $0.00919
Opus 5 $0.00460 $0.00460
Sonnet 5 $0.00184 $0.00184
Haiku 4.5 $0.00092 $0.00092

Measured 4d ago against content hash e83f1cb60f8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

eGEOagents AGENTS.md 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 4d 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.

AGENTS.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenSpec Instructions

These instructions are for AI assistants working in this project.

Always open @/openspec/AGENTS.md when the request:

  • Mentions planning or proposals (words like proposal, spec, change, plan)
  • Introduces new capabilities, breaking changes, architecture shifts, or big performance/security work
  • Sounds ambiguous and you need the authoritative spec before coding

Use @/openspec/AGENTS.md to learn:

  • How to create and apply change proposals
  • Spec format and conventions
  • Project structure and guidelines

Keep this managed block so 'openspec update' can refresh the instructions.

AGENTS.md

Project: E-GEO (Generative Engine Optimization)

A zero-effort system to optimize website content for AI-powered search engines (ChatGPT, Perplexity, Claude, Gemini).

Quick Start

/geo https://yoursite.com/page

That's it. The system handles everything automatically.

Available Commands

Command Description
/geo <url> Full optimization pipeline
/geo:audit <url> Analysis only
/geo:optimize <file> Optimize local file
/geo:batch <folder> Process multiple files
/geo:report Generate summary report
/geo:compete <query> Competitive analysis

Code Style

  • Markdown for all content files
  • JSON-LD for schema markup
  • YAML frontmatter for metadata

MCP Requirements

For fully validated results (ground truth competitors + rendered DOM), use these MCP servers. If they're missing, the system should still run but must mark outputs as Low Confidence.

Server Purpose Criticality
brave-search Market validation (competitor analysis) 🔴 HIGH
chrome-devtools Technical validation (DOM/rendering) 🔴 HIGH

Use the validation-doctor skill to check or install these dependencies.

Agent Instructions

When Optimizing Content

  1. VALIDATE ALWAYS: Use brave-search for competitor ground truth and chrome-devtools for rendered DOM when available.
    • If missing, validate with available tools (e.g., fetch/raw HTML) and clearly label outputs as Low Confidence.
    • Do not claim competitor rankings without Brave data.
  2. Always analyze before rewriting
  3. Preserve brand voice and factual accuracy
  4. Apply the 10 GEO universal features
  5. Generate schema markup for all pages
  6. Provide before/after comparison

Read the full file on GitHub · 130 lines

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. 4d ago First seen · 130 lines · 919 tokens per session scan A e83f1cb60f8e

Subscribe to this mod's changes

eGEOagents AGENTS.md is an instructions file published in the GitHub repository mverab/eGEOagents (172 stars, last pushed 2d ago), licensed MIT. It adds 919 tokens to every session, about $0.0046 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 2026-08-30.

aeoai-search-optimizationcontent-optimizationgenerative-engine-optimizationgeoschema-markup
Related

Other instructions, from other repositories

claude-rank CLAUDE.md

Instructions for Houseofmvps/claude-rank, covering claude-rank, project overview, architecture, tech stack and conventions.

Houseofmvps/claude-rank · 754 tokens

notion-geo-audit CLAUDE.md

Claude Code instructions for nycsav/notion-geo-audit, covering notion-geo-audit — project guide, what this is, live surfaces (all launched, public), architecture and build / deploy.

nycsav/notion-geo-audit · 1,248 tokens

aeo-radar CLAUDE.md

Instructions for hellowalt/aeo-radar, covering claude.md — dev playbook for aeo radar, tech stack, common commands, crawl (defaults to headless) and seeding & analysis.

hellowalt/aeo-radar · 1,181 tokens

seohead-seotools AGENTS.md

AGENTS.md instructions for PavloSEO/seohead-seotools, covering agents.md — public repository contract, product model, start here, architecture and invariants.

PavloSEO/seohead-seotools · 1,022 tokens

seo-geo-optimizer copilot-instructions.md

Instructions for Aryanpanwar10005/seo-geo-optimizer, covering seo & geo optimizer — universal ai skill, how to use this skill, part 1 — iron laws, part 2 — seo & geo execution phases and phase 0 — initialize.

Aryanpanwar10005/seo-geo-optimizer · 18,875 tokens

aitraffic AGENTS.md

AGENTS.md instructions for devanshug2307/aitraffic, covering agents.md, purpose, canonical commands, terminal contract and evidence contract.

devanshug2307/aitraffic · 564 tokens