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 afaraha8403/balakit --skill marketing-psychologygit clone --depth 1 https://github.com/afaraha8403/balakitWrote 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/afaraha8403/balakit/marketing-psychology)<a href="https://agentmods.dev/skills/afaraha8403/balakit/marketing-psychology"><img src="https://agentmods.dev/badge/skills/afaraha8403/balakit/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/afaraha8403/balakit/marketing-psychology"><img src="https://agentmods.dev/badge/skills/afaraha8403/balakit/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 | $0.00106 | $0.01227 |
| Opus 5 | $0.00053 | $0.00613 |
| Sonnet 5 | $0.00021 | $0.00245 |
| Haiku 4.5 | $0.00011 | $0.00123 |
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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Psychology
Leading words: loss aversion, social proof, anchoring, paradox of choice, Zeigarnik effect, IKEA effect, reciprocity, commitment & consistency, Fogg behavior model, ethical influence.
Apply cognitive biases and behavioral models to product surfaces — ethically. The goal is to reduce cognitive load, surface genuine value, and help the user act on what they already want — not to manipulate.
Decision model — surface → principle
Pick the surface the user is working on, then apply the primary principle (secondary principles reinforce). Depth on each principle lives in references/principles.md.
| Surface | Primary principle | Secondary principle |
|---|---|---|
| CTA (call-to-action) | Commitment & consistency | Reciprocity |
| Pricing tier comparison | Anchoring | Loss aversion |
| Onboarding flow | IKEA effect | Paradox of choice (avoid) |
| Feature description | Loss aversion | Social proof |
| Reviews / testimonials / trust | Social proof | Reciprocity |
| Dashboard engagement | Zeigarnik effect | Loss aversion |
| Error / empty state | Reciprocity | Fogg: reduce ability cost |
Phase 1 — Audit
- [ ] Identify the surface type from the decision model table above.
- [ ] Map the primary + secondary principle for that surface.
- [ ] Check the current copy's cognitive load (how many concepts must the
user hold at once to act?).
- [ ] Check ethics: would the ethical-influence test pass? (see references/)
🛑 Checkpoint: State the surface type, primary/secondary principles, and cognitive-load assessment in one sentence. Do not proceed to Design until the audit is named.
Phase 2 — Design
- [ ] Choose 1-2 principles max for the surface (more = noise).
- [ ] Inject the leading word for the chosen principle into the copy.
- [ ] Apply the pattern for that principle (see references/principles.md).
- [ ] Verify the principle is real, not fabricated (real metrics, real
testimonials, real scarcity).
What ships with it
3 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 · 128 lines · 106 tokens per session scan A 5ef9f5d7d219
marketing-psychology is a skill published in the GitHub repository afaraha8403/balakit (1 stars, last pushed yesterday), licensed MIT. It adds 106 tokens to every session and 1,227 once invoked, about $0.0005 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 2026-08-31.
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