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 MoizIbnYousaf/marketing-cli --skill marketing-psychologygit clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cliWrote 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/moizibnyousaf/marketing-cli/marketing-psychology)<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/marketing-psychology"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/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/moizibnyousaf/marketing-cli/marketing-psychology"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/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 | $0.00174 | $0.03905 |
| Opus 5 | $0.00087 | $0.01953 |
| Sonnet 5 | $0.00035 | $0.00781 |
| Haiku 4.5 | $0.00017 | $0.00391 |
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 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 — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Psychology
Purpose
This is a KNOWLEDGE skill. It does not produce standalone deliverables. Instead, it enhances any marketing asset — landing pages, emails, ads, CTAs, pricing pages, onboarding flows — by applying behavioral psychology principles that increase persuasion and conversion.
When another skill produces copy or UX, this skill provides the psychological layer: why certain framings work, which biases to apply, and specific before/after rewrites grounded in research.
No Reads/Writes
This skill is pure reference. It reads no brand files and writes no outputs. It is applied ON TOP of other skills' work.
Brand Context Enhancement
While this skill reads no files itself, the calling skill should provide brand context when available:
- audience.md -> Knowing the audience helps select the right social proof type (peer testimonials for B2B, user statistics for consumer), the right authority signals (industry certifications for enterprise, founder story for indie), and the right scarcity framing (launch pricing for startups, seat limits for teams).
- voice-profile.md -> Brand voice affects HOW principles are applied. A playful brand uses conversational loss aversion ("Don't miss out on..."). A professional brand uses data-driven framing ("Companies without X lose an average of...").
- positioning.md -> Premium positioning supports authority and anchoring. Challenger positioning supports liking and social proof from peers.
When calling this skill, pass relevant brand context so principles are applied in voice, not generically.
Workflow
Step 1: Identify the Asset Type
Determine what marketing asset is being optimized:
- Landing page (hero, body, CTA)
- Email (subject, body, CTA)
- Ad copy (headline, description, creative)
- Pricing page (tiers, anchoring, CTA)
- Onboarding flow (screens, copy, nudges)
- Social post (hook, body, CTA)
- Cancel flow (retention, objection handling)
- Sales page (long-form persuasion)
Step 2: Select Applicable Principles
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.
- 12d ago First seen · 376 lines · 174 tokens per session scan A d5e8a1bffda4
marketing-psychology is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed today), licensed MIT. It adds 174 tokens to every session and 3,905 once invoked, about $0.0009 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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