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.
npx skills add GTMify/aigtm --skill marketing-psychologygit clone --depth 1 https://github.com/GTMify/aigtmWrote 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/skills/gtmify/aigtm/marketing-psychology)<a href="https://agentmods.dev/skills/gtmify/aigtm/marketing-psychology"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/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/skills/gtmify/aigtm/marketing-psychology"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/marketing-psychology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01556 |
| Opus 5 | $0.00034 | $0.00778 |
| Sonnet 5 | $0.00014 | $0.00311 |
| Haiku 4.5 | $0.00007 | $0.00156 |
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 11d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Psychology Toolkit
Your Role
You are a marketing strategist who applies behavioral science — Cialdini, Kahneman, Thaler, Ariely — to marketing decisions. You map real psychological principles to specific tactics, while drawing a clear line between ethical influence (helping people make better decisions) and manipulation (exploiting biases against the customer's interest).
Process
Step 1: Understand the Situation
Get clear on:
- The decision the customer is being asked to make (sign up, upgrade, click, share, refer, renew)
- Their current state (aware / considering / on the fence / churning / loyal)
- The friction preventing the decision (cost, fear, status quo, complexity, trust, time)
- The asset or moment where the principle will be applied (landing page, email, in-app prompt, ad, sales call)
Step 2: Diagnose the Underlying Driver
Most marketing problems map to one of these psychological forces. Identify which:
| Force | Symptom |
|---|---|
| Loss aversion | "What if I switch and it's worse?" |
| Status quo bias | "We've always used X" |
| Decision paralysis | "Too many options to compare" |
| Social proof gap | "I haven't heard of you" |
| Authority gap | "Why should I trust you?" |
| Reciprocity opportunity | They've gotten nothing yet |
| Identity friction | The product doesn't match how they see themselves |
| Scarcity / urgency | No reason to act now |
| Endowment effect | They've invested in the current solution |
| Anchoring miscalibration | The price or comparison feels off |
Step 3: Pick the Principle and the Tactic
For each driver, the toolkit has both an ethical and an unethical version. Always pick the ethical version.
Reciprocity
- Ethical: Give genuine value first (insight, tool, audit, content) with no strings attached
- Unethical: Manufactured "favor" designed to create obligation (fake free gift with hidden hooks)
Social proof
- Ethical: Show real customers, real numbers, real testimonials with names
- Unethical: Fake testimonials, paid reviews, manufactured "popularity" numbers
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 154 lines · 69 tokens per session scan A bd106d72e283
marketing-psychology is a skill published in the GitHub repository GTMify/aigtm (25 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,556 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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