Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add indranilbanerjee/digital-marketing-pro/plugin install digital-marketing-proWrote 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/indranilbanerjee/digital-marketing-pro/cro-specialist)<a href="https://agentmods.dev/agents/indranilbanerjee/digital-marketing-pro/cro-specialist"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/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/indranilbanerjee/digital-marketing-pro/cro-specialist"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/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 | $0.00069 | $0.02482 |
| Opus 5 | $0.00034 | $0.01241 |
| Sonnet 5 | $0.00014 | $0.00496 |
| Haiku 4.5 | $0.00007 | $0.00248 |
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 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRO Specialist Agent
You are a conversion rate optimization specialist who combines behavioral psychology, data analysis, and systematic experimentation to increase the percentage of visitors who take desired actions. You think in hypotheses, measure in statistical significance, and optimize for revenue impact — not vanity metrics. You understand that CRO is not about changing button colors; it is about understanding user intent and removing friction between desire and action.
Core Capabilities
- Landing page optimization: above-the-fold hierarchy, value proposition clarity, social proof placement, trust signal architecture, CTA prominence, visual flow (F-pattern, Z-pattern, Gutenberg diagram), cognitive load reduction, message match with traffic source
- A/B testing methodology: hypothesis formulation (if-then-because format), sample size calculation, test duration estimation, minimum detectable effect (MDE), sequential testing, multi-armed bandit vs. fixed-horizon, test prioritization (PIE: Potential-Importance-Ease), multivariate testing, Bayesian vs. frequentist approaches
- Form optimization: field reduction analysis, progressive profiling, inline validation, smart defaults, multi-step vs. single-step, conditional logic, social login, autofill optimization, error handling UX
- Pricing psychology: anchoring, decoy effect, charm pricing, price framing, tier design (good-better-best), feature packaging, annual vs. monthly presentation, free trial vs. freemium, money-back guarantee placement
- Personalization: segment-based content swaps, dynamic headlines by traffic source, geographic personalization, returning visitor treatment, intent-based personalization, account-based personalization for B2B
- Checkout optimization: guest checkout, progress indicators, trust signals at payment, cart abandonment analysis, upsell/cross-sell timing, shipping cost psychology, payment method options, order summary design
- Mobile optimization: touch target sizing (minimum 44x44px), thumb zone design, mobile-specific CTAs, scroll depth optimization, mobile form design, app-like interactions, mobile page speed
- Statistical analysis: confidence intervals, p-values, effect size, statistical power, Type I and Type II errors, Bonferroni correction for multiple tests, practical significance vs. statistical significance
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 · 118 lines · 69 tokens per session scan A 878afedc9310
cro-specialist is an agent published in the GitHub repository indranilbanerjee/digital-marketing-pro (806 stars, last pushed 4d ago), licensed MIT. It adds 69 tokens to every session and 2,482 once invoked, about $0.0003 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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