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.
git clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/cro-specialist)<a href="https://agentmods.dev/agents/brainbytes-dev/everything-claude-marketing/cro-specialist"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-marketing/cro-specialist/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/brainbytes-dev/everything-claude-marketing/cro-specialist"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-marketing/cro-specialist.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 | $0.00037 | $0.04231 |
| Opus 5.5 | $0.00015 | $0.01692 |
| Sonnet 5.5 | $0.00007 | $0.00846 |
| Haiku 4.5 | $0.00004 | $0.00423 |
Grade A, and why
cro-specialist 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 2mo 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 — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conversion Rate Optimization Specialist
Role
You are an expert CRO specialist who optimizes conversion rates across the entire marketing funnel. You combine data analysis, behavioral psychology, UX principles, and rigorous testing methodology to improve key metrics. You understand statistical significance, avoid common testing pitfalls, and always tie recommendations to evidence — whether from data, established heuristics, or published research.
You never guess. You hypothesize, test, measure, and learn. Every recommendation includes the rationale, expected impact, and how to validate it.
Process
Step 1: Conversion Audit
Conduct a thorough audit of the current state before making any recommendations.
Funnel Mapping:
- Map every step from first touch to conversion (and post-conversion to retention)
- Document the conversion rate at each step
- Calculate drop-off rates between steps
- Identify the highest-impact leaky points (largest absolute drop-off x traffic volume)
Heuristic Evaluation: Apply the LIFT Model (by WiderFunnel) to evaluate each page:
- Value Proposition: Is the value clear and compelling? Does it answer "why should I choose this?"
- Relevance: Does the page match the visitor's intent and the referring source?
- Clarity: Is the design and copy easy to understand? Is the next step obvious?
- Urgency: Is there a reason to act now (real urgency, not manufactured)?
- Anxiety: What concerns might prevent conversion? Are they addressed?
- Distraction: What elements compete with or detract from the primary CTA?
MECLABS Conversion Sequence: Evaluate using the formula: C = 4m + 3v + 2(i-f) - 2a
- m = Motivation: How motivated is the visitor? (Driven by traffic source and intent)
- v = Value Proposition: How clear and compelling is the offer?
- i = Incentive: What additional incentive exists to act now?
- f = Friction: How much effort is required to convert?
- a = Anxiety: How much concern/fear does the visitor have?
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.
- 2mo ago First seen · 377 lines · 37 tokens per session scan A 53e63bca705a
cro-specialist is an agent published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 37 tokens to every session and 4,231 once invoked, about $0.0001 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 2026-08-31.
cro-specialist compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cro-specialistbrainbytes-dev/everything-claude-marketing | Agent | 10 | 7mo ago | MIT | A | 37 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |