seo-flow

seo-flow is a skill for Claude Code from AgriciDaniel/claude-seo. It costs 78 tokens per session (1,417 once invoked), scanned A, original, MIT.

A step-by-step SEO working framework called FLOW: Find, Leverage, Optimize, and Win. It provides structured prompts for research, authority building, page improvements, local SEO, and conversions.

In plain words
What is it for?
Use it to plan keyword research, search-intent mapping, backlink work, page optimization, local audits, and conversion-focused reviews.
Why use it?
It gives an SEO review a repeatable sequence and evidence-focused questions instead of relying on improvised analysis.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the claude-seo plugin — 31 skills, 18 agents, 1 hook shipped together

Good fit Use it to plan keyword research, search-intent mapping, backlink work, page optimization, local audits, and conversion-focused reviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agricidaniel/claude-seo/seo-flow
About the project

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.

AgriciDaniel/claude-seo · 16,692 stars · on GitHub · claude-seo.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.

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

Made for: Claude Code.

Or install claude-seo, the plugin that ships this one along with the rest of its 31 skills, 18 agents, 1 hook.

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-flow

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/agricidaniel/claude-seo/seo-flow"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-seo/seo-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,417 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. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • Socket pass 11 May 2026
  • Snyk warn 11 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00078 $0.01417
Opus 5 $0.00039 $0.00709
Sonnet 5 $0.00016 $0.00283
Haiku 4.5 $0.00008 $0.00142

Measured 11d ago against content hash 51f9c1b56d16, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

seo-flow 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 11d 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

Copies of this mod

3 near-identical copies found in the catalogue:

  • seo-flow — 97% identical, 38 lines differ
  • seo-flow — 97% identical, 36 lines differ
  • seo-flow — 97% identical, 38 lines differ
skills/seo-flow/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FLOW Framework: Find · Leverage · Optimize · Win

FLOW is an evidence-led SEO operating model built for the AI-search era. Claude SEO integrates the FLOW prompt library (41 prompts across 5 stages) so every analysis can be driven by structured, evidence-backed AI prompts rather than improvised queries.

Framework and prompts © Daniel Agrici, CC BY 4.0: github.com/AgriciDaniel/flow

Runtime context: Load references/flow-framework.md on every /seo flow activation. Load prompt files on demand, only for the stage the user requests.


Commands

Command What it does
/seo flow Show FLOW overview + stage menu
/seo flow find [url|topic] Find-stage: keyword research, gap analysis, SERP intent mapping (5 prompts)
/seo flow leverage [url] Leverage-stage: backlink strategy, off-site authority (1 prompt)
/seo flow optimize [url] Optimize-stage: select 2-3 most relevant of 21 prompts based on context
/seo flow win [url] Win-stage: BOFU, conversion rate, dual-surface scorecard (3 prompts)
/seo flow local [url] Local-stage: GBP optimization, meta, title tags, local audits (11 prompts)
/seo flow prompts Full index of all 41 prompts (stage, name, trigger conditions)
/seo flow sync Pull latest prompt files from github.com/AgriciDaniel/flow

Orchestration Logic

On /seo flow (no sub-command)

  1. Read references/flow-framework.md
  2. Show the FLOW stage overview with a one-line description of each stage
  3. Ask: which stage matches the user's current situation?

On /seo flow find [url|topic]

  1. Read all files in references/prompts/find/
  2. Apply each prompt to the URL or topic
  3. Cross-reference: "For deeper SERP clustering, see /seo cluster <seed-keyword>"

On /seo flow leverage [url]

  1. Read the file in references/prompts/leverage/
  2. Apply to the URL's current backlink context
  3. Cross-reference: "For raw backlink data, see /seo backlinks <url>"

Read the full file on GitHub · 137 lines

Files

What ships with it

45 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.

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. 11d ago First seen · 137 lines · 78 tokens per session scan A 51f9c1b56d16

Subscribe to this mod's changes

seo-flow is a skill published in the GitHub repository AgriciDaniel/claude-seo (16,692 stars, last pushed 15d ago), licensed MIT. It adds 78 tokens to every session and 1,417 once invoked, about $0.0004 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.

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