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/rajitsaha/100xprismWrote 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/rules/rajitsaha/100xprism/marketing-psychology)<a href="https://agentmods.dev/rules/rajitsaha/100xprism/marketing-psychology"><img src="https://agentmods.dev/badge/rules/rajitsaha/100xprism/marketing-psychology/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/rules/rajitsaha/100xprism/marketing-psychology"><img src="https://agentmods.dev/badge/rules/rajitsaha/100xprism/marketing-psychology.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 | $0.00031 | $0.03085 |
| Opus 5 | $0.00015 | $0.01543 |
| Sonnet 5 | $0.00006 | $0.00617 |
| Haiku 4.5 | $0.00003 | $0.00309 |
Grade A, and why
marketing-psychology 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 7d 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Psychology & Mental Models
Apply psychological principles and mental models to explain why people buy, influence behavior ethically, and improve marketing decisions.
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.
When helping users: identify which models apply to their situation, explain the psychology, give specific marketing applications, and suggest ethical implementation.
Foundational Thinking Models
First Principles
Break problems to basic truths and build up; ask "why" repeatedly (5 Whys) to find root causes instead of copying competitors. Don't assume you need content marketing because competitors do — ask what problem it solves and whether there's a better solution.
Jobs to Be Done
People "hire" products to get a job done; focus on the outcome, not features. A drill buyer wants a hole — frame your product around the job it accomplishes, not its specifications.
Circle of Competence
Stay within what you're good at; venture out only with proper learning or expert help. Don't chase every channel — double down where you have genuine expertise and competitive advantage.
Inversion
Ask "What would guarantee failure?" and avoid it. List everything that would make your campaign fail — confusing messaging, wrong audience, slow landing page — then systematically prevent each.
Occam's Razor
The simplest explanation is usually correct. If conversions dropped, check the obvious first (broken form, page speed) before assuming complex attribution issues.
Pareto Principle (80/20 Rule)
~80% of results come from 20% of efforts. Find the 20% of channels, customers, or content driving 80% of results; cut or reduce the rest.
Local vs. Global Optima
Don't get stuck optimizing the wrong thing. Optimizing email subject lines (local) won't help if email isn't the right channel (global) — zoom out before zooming in.
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.
- 7d ago First seen · 292 lines · 3,085 tokens per session scan A 2524ee861788
marketing-psychology is a cursor rule published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 11d ago), licensed MIT. It adds 31 tokens to every session and 3,085 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.
Other cursor rules, from other repositories
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
cli-error-handling
CLI command error handling patterns.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.
control-plane-descriptors
Control plane descriptor and instance implementation patterns.