Claude SEO is an open-source Claude Code plugin that runs specialized agents and skills to audit websites across technical SEO, content quality, structured data, AI-search optimization, local and e-commerce SEO, and international SEO. SEO practitioners use it to produce prioritized recommendations based on primary-source guidance, with optional extensions for external data and crawling.
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 AgriciDaniel/claude-seo --skill seo-content-briefgit clone --depth 1 https://github.com/AgriciDaniel/claude-seoWrote 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/agricidaniel/claude-seo/seo-content-brief)<a href="https://agentmods.dev/skills/agricidaniel/claude-seo/seo-content-brief"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-seo/seo-content-brief/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/agricidaniel/claude-seo/seo-content-brief"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-seo/seo-content-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00082 | $0.02470 |
| Opus 5.5 | $0.00033 | $0.00988 |
| Sonnet 5.5 | $0.00016 | $0.00494 |
| Haiku 4.5 | $0.00008 | $0.00247 |
Grade A, and why
seo-content-brief 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- seo-content-brief — 95% identical, 27 lines differ
- seo-content-brief — 89% identical, 35 lines differ
- seo-content-brief — 89% identical, 35 lines differ
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Content Brief Generator
Generate research-backed content briefs that help writers produce pages capable of outranking current top results. Briefs include competitor analysis with gap scoring, per-section word count breakdowns, keyword placement rules, and page-type-specific templates.
Process
1. Determine Brief Mode
Improve mode (existing page URL provided):
- Fetch the existing page content and structure
- Identify what is already strong (keep it)
- Identify missing, thin, or outdated sections
- Distinguish "keep/strengthen" vs "add new" sections in the outline
- Do not recommend a full rewrite when targeted improvements will win
New page mode (keyword or topic provided, no existing page):
- Use the target site's homepage or sitemap for business context only
- Build the brief from scratch for a new page
- Focus on competitive gaps the new page can fill
2. Fetch Context
- Fetch the target URL or homepage to understand the business
- Fetch the sitemap to discover all existing pages, categories, and services
- This context is critical for the Website Relevance Rule (see below)
3. Analyse SERPs
- Identify the top 5 ranking pages for the target keyword
- Filter out non-competitors (Wikipedia, Reddit, Pinterest, Amazon, YouTube, government sites, SEO tool pages, job boards, directories, news aggregators, social platforms). See
references/excluded-domains.mdfor the full list. - Score each real competitor: Depth (1-10), Formatting (1-10), SEO (1-10), UX (1-10)
- Identify three gap types:
- Topic gaps: subtopics competitors miss entirely
- Depth gaps: topics covered but shallow
- Quality gaps: outdated info, no expert perspective, poor formatting
- Calculate gap priority:
Impact x Competitive Advantage / Effort
4. Classify Search Intent
- Informational: user wants to learn (guides, how-tos, definitions)
- Commercial: user is researching before buying (comparisons, reviews, "best X")
- Transactional: user is ready to act (buy, book, enquire, sign up)
- Navigational: user is looking for a specific site or page
What ships with it
4 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.
- 5d ago Changed · +9 lines b668d656363d
- 1mo ago Changed bdca005f4687
- 1mo ago First seen · 248 lines · 82 tokens per session scan A e821f346b0c3
seo-content-brief is a skill published in the GitHub repository AgriciDaniel/claude-seo (22,763 stars, last pushed 5d ago), licensed MIT. It adds 82 tokens to every session and 2,470 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.
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