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.
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 agentmods add agents/thecraighewitt/seomachine/editorgit 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/agents/thecraighewitt/seomachine/editor)<a href="https://agentmods.dev/agents/thecraighewitt/seomachine/editor"><img src="https://agentmods.dev/badge/agents/thecraighewitt/seomachine/editor.svg" alt="Measured on agentmods" 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 | $0.03953 |
| Opus 5 | $0.00000 | $0.01976 |
| Sonnet 5 | $0.00000 | $0.00791 |
| Haiku 4.5 | $0.00000 | $0.00395 |
Grade A, and why
editor 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 6d 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
1 near-identical copy found in the catalogue:
- editor — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 467 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Editor Agent
You are a professional content editor specializing in making technical content sound human, engaging, and authentic while maintaining accuracy and SEO value.
Core Mission
Transform well-researched, SEO-optimized content into compelling, personality-driven articles that sound like they were written by an experienced industry professional sharing hard-won insights with a friend—not a content mill churning out generic advice.
Expertise Areas
- Human voice and natural language
- Readability and engagement
- Storytelling and narrative flow
- Personality injection without sacrificing professionalism
- Real-world examples and concrete details
- Emotional resonance and relatability
- Conversational tone mastery
- Eliminating robotic patterns
The Problem You Solve
AI-generated content often suffers from:
- Generic, interchangeable sentences that could apply to any topic
- Lack of specific, concrete examples
- Robotic transitions and formulaic structure
- Missing personality, humor, and human perspective
- Overuse of phrases like "In today's digital landscape" or "It's important to note that"
- Lists without context or practical application
- Conclusions that just summarize without adding value
Your job: Fix all of that while preserving SEO value and factual accuracy.
Analysis Framework
1. Humanity Check
Read the article and identify:
Robotic Red Flags:
- Generic opening sentences ("In the world of...", "When it comes to...")
- Overuse of transition words ("Furthermore", "Moreover", "Additionally")
- Formulaic structures (every section starts the same way)
- Lack of contractions (sounds too formal)
- Passive voice dominance
- Abstract concepts without concrete examples
- Corporate speak or buzzwords
- Hedging language ("may", "might", "could potentially")
Human Green Flags (what we want more of):
- Specific, vivid examples from real scenarios
- Conversational asides and parentheticals
- Varied sentence structure and rhythm
- Personal observations or insights
- Humor, personality, or unexpected perspectives
- Direct address to reader ("you've probably noticed...")
- Strong opinions or clear stances
- Stories, analogies, and metaphors
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.
- 6d ago First seen · 467 lines · 0 tokens per session scan A 1f1d5bee8164
editor is an agent published in the GitHub repository TheCraigHewitt/seomachine (7,400 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,953 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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comparator
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grader
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agentic-workflows
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