seo-competitor-pages

seo-competitor-pages is a skill for Claude Code from AgriciDaniel/seo-os. It costs 82 tokens per session (1,808 once invoked), scanned A, original, AGPL-3.0.

A tool for creating search-focused pages that compare products or services, such as “X vs Y” and “alternatives to X” pages. It can also structure feature comparisons and related search information.

In plain words
What is it for?
Use it to create competitor comparison pages, alternatives pages, feature tables, structured data, and conversion-focused layouts.
Why use it?
It helps turn comparison searches into organized pages without having to design the page structure and search-related details from scratch.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to create competitor comparison pages, alternatives pages, feature tables, structured data, and conversion-focused layouts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agricidaniel/seo-os/seo-competitor-pages
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.

Any agent
npx skills add AgriciDaniel/seo-os --skill seo-competitor-pages
Clone the repo
git clone --depth 1 https://github.com/AgriciDaniel/seo-os

Made for: Claude Code.

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 seo-competitor-pages

README.md
[![agentmods](https://agentmods.dev/badge/skills/agricidaniel/seo-os/seo-competitor-pages/github.svg)](https://agentmods.dev/skills/agricidaniel/seo-os/seo-competitor-pages)
Your own site
<a href="https://agentmods.dev/skills/agricidaniel/seo-os/seo-competitor-pages"><img src="https://agentmods.dev/badge/skills/agricidaniel/seo-os/seo-competitor-pages/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 seo-competitor-pages

Your own site · 80×15
<a href="https://agentmods.dev/skills/agricidaniel/seo-os/seo-competitor-pages"><img src="https://agentmods.dev/badge/skills/agricidaniel/seo-os/seo-competitor-pages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00082 $0.01808
Opus 5.5 $0.00033 $0.00723
Sonnet 5.5 $0.00016 $0.00362
Haiku 4.5 $0.00008 $0.00181

Measured 2mo ago against content hash 3bbbb2b87b21, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

seo-competitor-pages 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 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.

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.

vendored/claude-seo/skills/seo-competitor-pages/SKILL.md · 221 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

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.

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. 2mo ago First seen · 221 lines · 82 tokens per session scan A 3bbbb2b87b21

Subscribe to this mod's changes

seo-competitor-pages is a skill published in the GitHub repository AgriciDaniel/seo-os (149 stars, last pushed 4mo ago), licensed AGPL-3.0. It adds 82 tokens to every session and 1,808 once invoked, about $0.0003 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.

Related

seo-competitor-pages compared with skills from other repositories

seo-competitor-pages next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
seo-competitor-pagesAgriciDaniel/seo-osSkill1494mo agoAGPL-3.0A82Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code