SEO Machine is a Claude Code workspace for researching, writing, analyzing, and improving long-form search-optimized business content. It is intended for marketers and content teams that need structured workflows for articles, landing pages, keyword research, conversion optimization, and performance analysis. Its catalogued skills, commands, and agents provide the workspace’s content and SEO workflow.
Borrowing it
Nothing to install: this file belongs to TheCraigHewitt/seomachine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheCraigHewitt/seomachine/main/.claude/commands/landing-publish.mdgit clone --depth 1 https://github.com/TheCraigHewitt/seomachineWrote 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/commands/thecraighewitt/seomachine/landing-publish)<a href="https://agentmods.dev/commands/thecraighewitt/seomachine/landing-publish"><img src="https://agentmods.dev/badge/commands/thecraighewitt/seomachine/landing-publish/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/commands/thecraighewitt/seomachine/landing-publish"><img src="https://agentmods.dev/badge/commands/thecraighewitt/seomachine/landing-publish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.01527 |
| Opus 5 | $0.00000 | $0.00763 |
| Sonnet 5 | $0.00000 | $0.00305 |
| Haiku 4.5 | $0.00000 | $0.00153 |
Grade A, and why
landing-publish 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Publish Command
Use this command to publish landing pages to WordPress as pages (not blog posts).
Usage
/landing-publish [file path] [options]
Options:
--noindex: Set noindex meta (for PPC pages)--template [slug]: Use specific WordPress page template
Examples:
/landing-publish landing-pages/product-hosting-beginners-2025-12-11.md/landing-publish landing-pages/free-trial-ppc-2025-12-11.md --noindex/landing-publish landing-pages/pricing-comparison-2025-12-11.md --template landing-page
What This Command Does
- Validates the landing page file
- Checks landing page score (must be ≥75)
- Parses markdown and metadata
- Creates WordPress page via REST API
- Sets Yoast SEO fields
- Returns edit URL for review
Prerequisites
Before publishing, ensure:
- Landing page score is ≥75 (run
/landing-auditfirst) - No critical issues remain
- All required metadata is present
- Content has been scrubbed for AI watermarks
File Format Requirements
Landing page files must include this metadata:
# [H1 Headline]
**Meta Title**: [50-60 characters]
**Meta Description**: [150-160 characters]
**Target Keyword**: [primary keyword]
**Page Type**: seo | ppc
**Conversion Goal**: trial | demo | lead
**URL Slug**: /[page-slug]/
---
[Content...]
Publishing Process
Step 1: Validation
Check file exists and contains required fields:
- Meta Title (required)
- Meta Description (required)
- Target Keyword (required for SEO pages)
- Page Type
- Conversion Goal
- URL Slug
Step 2: Score Check
Run landing page scorer:
from data_sources.modules.landing_page_scorer import score_landing_page
score = score_landing_page(content, page_type, goal, meta_title, meta_description, keyword)
if score['overall_score'] < 75:
print("Score too low. Fix issues before publishing.")
print(f"Current score: {score['overall_score']}")
print(f"Critical issues: {score['critical_issues']}")
# Abort publishing
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.
- 12d ago First seen · 252 lines · 0 tokens per session scan A b8e582b59aef
landing-publish is a command published in the GitHub repository TheCraigHewitt/seomachine (7,434 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,527 tokens. 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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