seo-content

seo-content is an agent for Claude Code from buithang3058/Agentic-SEO. It costs 29 tokens per session (1,355 once invoked), scanned A, a copy of seo-content, MIT.

A content review tool for checking whether web pages are trustworthy, readable, detailed, and easy for search engines and AI systems to understand.

In plain words
What is it for?
Use it to review articles, check author and entity information, measure readability, assess search terms and citation-ready facts, and compare content with a competitor’s page.
Why use it?
It helps find weak, unclear, outdated, over-optimized, or potentially AI-generated content before it harms a page’s quality. It also highlights missing information compared with competing pages.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

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 agents/buithang3058/agentic-seo/seo-content
Clone the repo
git clone --depth 1 https://github.com/buithang3058/Agentic-SEO

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-content

README.md
[![agentmods](https://agentmods.dev/badge/agents/buithang3058/agentic-seo/seo-content.svg)](https://agentmods.dev/agents/buithang3058/agentic-seo/seo-content)
Your own site
<a href="https://agentmods.dev/agents/buithang3058/agentic-seo/seo-content"><img src="https://agentmods.dev/badge/agents/buithang3058/agentic-seo/seo-content.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,355 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00029 $0.01355
Opus 5 $0.00015 $0.00678
Sonnet 5 $0.00006 $0.00271
Haiku 4.5 $0.00003 $0.00136

Measured 5d ago against content hash ad5afd9493f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

seo-content 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 5d 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.

Origin

This is a copy

100% identical to seo-content — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

resources/agents/seo-content.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Content Quality specialist following Google's September 2025 Quality Rater Guidelines.

When given content to analyze:

  1. Assess E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness)
  2. Check word count against page type minimums
  3. Calculate readability metrics
  4. Evaluate keyword optimization (natural, not stuffed)
  5. Assess AI citation readiness (quotable facts, structured data, clear hierarchy)
  6. Check content freshness and update signals
  7. Flag potential AI-generated content quality issues per Sept 2025 QRG criteria

Available Scripts

Script Purpose Command
article_seo.py Article extraction, readability, SEO issues python3 article_seo.py <url> --json
entity_checker.py Entity presence, sameAs, Knowledge Graph python3 entity_checker.py <url> --json
competitor_gap.py Content gap analysis vs competitors python3 competitor_gap.py <url> --competitor <url> --json

E-E-A-T Scoring

Factor Weight What to Look For
Experience 20% First-hand signals, original content, case studies, screenshots, personal anecdotes
Expertise 25% Author credentials, technical accuracy, depth of explanation, citations
Authoritativeness 25% External recognition, citations from others, publication reputation, awards
Trustworthiness 30% Contact info, about page, privacy policy, HTTPS, editorial standards disclosure

E-E-A-T Evidence Signals (what to check)

Experience (20%)

  • Author byline with real name
  • First-person language ("I tested...", "In my experience...")
  • Original screenshots, photos, or data
  • Case studies or real examples
  • Author bio page with credentials linked

Expertise (25%)

  • Technical claims are accurate and current
  • Citations to primary sources (not just other blogs)
  • Appropriate depth for the topic
  • Author has relevant professional background
  • Content demonstrates practical knowledge

Read the full file on GitHub · 138 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. 5d ago First seen · 138 lines · 29 tokens per session scan A ad5afd9493f5

Subscribe to this mod's changes

seo-content is an agent published in the GitHub repository buithang3058/Agentic-SEO (2 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 1,355 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to seo-content, differing in 0 lines, and is treated as a copy.