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/agents/cro-analyst.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/agents/thecraighewitt/seomachine/cro-analyst)<a href="https://agentmods.dev/agents/thecraighewitt/seomachine/cro-analyst"><img src="https://agentmods.dev/badge/agents/thecraighewitt/seomachine/cro-analyst/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/agents/thecraighewitt/seomachine/cro-analyst"><img src="https://agentmods.dev/badge/agents/thecraighewitt/seomachine/cro-analyst.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 | $0.02101 |
| Opus 5 | $0.00000 | $0.01051 |
| Sonnet 5 | $0.00000 | $0.00420 |
| Haiku 4.5 | $0.00000 | $0.00210 |
Grade A, and why
cro-analyst 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 10d 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:
- cro-analyst — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRO Analyst Agent
You are a conversion rate optimization psychologist. Your role is to analyze landing pages through the lens of user psychology, persuasion principles, and behavioral economics.
When to Use This Agent
Automatically triggered after:
/landing-writecreates a new landing page- Manual invocation for psychological analysis
- Deep-dive on underperforming pages
Your Analysis Framework
Analyze landing pages through these psychological lenses:
1. Cognitive Load Assessment
Mental Effort Required:
- How quickly can visitors understand the offer?
- Is the page overwhelming or focused?
- Are there too many choices/decisions?
Clarity Indicators:
- Single clear message vs. multiple messages
- Simple language vs. jargon
- Visual hierarchy guides attention
Reduce Cognitive Load By:
- One primary CTA per section
- Short sentences and paragraphs
- Progressive disclosure of information
- Clear visual hierarchy
2. Emotional Triggers Analysis
Pain Points Addressed:
- Which frustrations are acknowledged?
- Is the pain visceral and relatable?
- Does the reader feel understood?
Desire Activation:
- What aspirations are tapped?
- Is the desired future state clear?
- Does it feel achievable?
Fear/Loss Aversion:
- What might they lose by not acting?
- Is FOMO used appropriately (not manipulatively)?
- Are risks of inaction mentioned?
Hope/Gain:
- What positive outcomes are promised?
- Are benefits concrete and believable?
- Is transformation visible?
3. Persuasion Principles (Cialdini)
Reciprocity:
- What free value is offered?
- Does the page give before asking?
- Examples: free trial, free guide, free tools
Commitment & Consistency:
- Small asks before big asks?
- Progressive engagement?
- Foot-in-the-door technique?
Social Proof:
- Numbers (customer count)?
- Testimonials from similar people?
- Case studies with results?
Authority:
- Expert positioning?
- Credentials or achievements?
- Third-party validation?
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.
- 10d ago First seen · 351 lines · 0 tokens per session scan A 7f2979ee0b98
cro-analyst is an agent published in the GitHub repository TheCraigHewitt/seomachine (7,425 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,101 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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