popup-cro

popup-cro is a cursor rule for Cursor from rajitsaha/100xprism. It costs 33 tokens per session (2,375 once invoked), scanned A, original, MIT.

A set of rules for creating and improving popups, modals, overlays, slide-ins, and banners used during a website visit. It treats these interruptions as part of conversion design.

In plain words
What is it for?
Use it for email capture, discounts, announcements, exit-intent messages, feature promotion, and surveys.
Why use it?
It helps collect leads or promote offers without showing interruptions too early, making them hard to dismiss, or damaging the user experience.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it for email capture, discounts, announcements, exit-intent messages, feature promotion, and surveys.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/rajitsaha/100xprism/popup-cro
Install

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.

Clone the repo
git clone --depth 1 https://github.com/rajitsaha/100xprism

Made for: Cursor.

Wrote 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.

agentmods badge for popup-cro

README.md
[![agentmods](https://agentmods.dev/badge/rules/rajitsaha/100xprism/popup-cro.svg)](https://agentmods.dev/rules/rajitsaha/100xprism/popup-cro)
Your own site
<a href="https://agentmods.dev/rules/rajitsaha/100xprism/popup-cro"><img src="https://agentmods.dev/badge/rules/rajitsaha/100xprism/popup-cro.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,375 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.02375
Opus 5 $0.00016 $0.01188
Sonnet 5 $0.00007 $0.00475
Haiku 4.5 $0.00003 $0.00237

Measured 5d ago against content hash ba7f1c085637, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

popup-cro 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 5d 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.

.cursor/rules/popup-cro.mdc · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create popups that convert without annoying users or damaging brand perception.

Initial Assessment

Product context: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it first and tailor output to it; only ask for what it doesn't cover.

Before recommending, understand:

  1. Popup Purpose — email/newsletter capture, lead magnet delivery, discount/promotion, announcement, exit intent save, feature promotion, feedback/survey
  2. Current State — existing popup performance? triggers used? user complaints or feedback? mobile experience?
  3. Traffic Context — traffic sources (paid, organic, direct); new vs. returning visitors; page types where shown

Core Principles

  1. Timing is everything — too early = annoying interruption; too late = missed opportunity; right time = helpful offer at the moment of need.
  2. Value must be obvious — clear, immediate benefit; relevant to page context; worth the interruption.
  3. Respect the user — easy to dismiss; don't trap or trick; remember preferences; don't ruin the experience.

Trigger Strategies

Time-Based

"Show after 5 seconds" is not recommended; "after 30-60 seconds" (proven engagement) is better. Best for general site visitors.

Scroll-Based

Typically 25-50% scroll depth — indicates content engagement. Best for blog posts and long-form content. Example: "You're halfway through—get more like this."

Exit Intent

Detects cursor moving to close/leave — last chance to capture value. Best for e-commerce and lead gen. Mobile alternative: back button or scroll up.

Click-Triggered

User initiates (clicks button/link), so zero annoyance. Best for lead magnets, gated content, demos. Example: "Download PDF" → popup form.

Page Count / Session-Based

After visiting X pages — indicates research/comparison behavior. Best for multi-page journeys. Example: "Been comparing? Here's a summary..."

Read the full file on GitHub · 264 lines

Changes

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.

  1. 5d ago First seen · 264 lines · 33 tokens per session scan A ba7f1c085637

Subscribe to this mod's changes

popup-cro is a cursor rule published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 8d ago), licensed MIT. It adds 33 tokens to every session and 2,375 once invoked, about $0.0002 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 2026-09-03.