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 yoanbernabeu/producthunt-skills --skill ph-pricing-psychologygit clone --depth 1 https://github.com/yoanbernabeu/producthunt-skillsWrote 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/yoanbernabeu/producthunt-skills/ph-pricing-psychology)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-pricing-psychology"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-pricing-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/yoanbernabeu/producthunt-skills/ph-pricing-psychology"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-pricing-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 | $0.00035 | $0.02024 |
| Opus 5.5 | $0.00014 | $0.00810 |
| Sonnet 5.5 | $0.00007 | $0.00405 |
| Haiku 4.5 | $0.00003 | $0.00202 |
Grade A, and why
ph-pricing-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 1mo 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 — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Pricing Psychology
This skill helps you leverage psychological principles to make your Product Hunt offers more compelling and drive higher conversions.
When to Use This Skill
- Structuring your launch offer
- Creating compelling pricing displays
- Building urgency and scarcity
- Maximizing perceived value
- Optimizing conversion messaging
Core Psychological Principles
1. Anchoring Effect
Principle: First number seen influences perception of all following numbers.
Application:
❌ Weak: "$99/year"
✓ Strong: "$299/year → $99/year (67% off!)"
How to Use:
- Always show original price first
- Make the discount visible
- Calculate and show savings
Example:
Regular: $49/month ($588/year)
Product Hunt: $19/month ($228/year)
You save: $360/year
2. Loss Aversion
Principle: People fear losing more than they enjoy gaining.
Application:
❌ Weak: "Get 30% off"
✓ Strong: "Don't miss 30% off — ends in 24 hours"
How to Use:
- Frame as avoiding loss, not just gaining
- Emphasize what they'll miss
- Create fear of missing out
Examples:
- "Lock in this price before it's gone"
- "Only 23 spots remaining"
- "This offer won't come back"
3. Scarcity Principle
Principle: Limited availability increases perceived value.
Types of Scarcity:
Quantity Scarcity:
"Limited to 100 lifetime licenses"
"Only 15 spots left"
"First 50 users only"
Time Scarcity:
"48 hours only"
"Ends Sunday midnight"
"Launch week special"
Combination:
"First 100 users OR until Sunday —
whichever comes first"
4. Social Proof
Principle: People follow what others do.
Application in Pricing:
✓ "Join 500+ users who chose the Pro plan"
✓ "Most popular" badge on middle tier
✓ "12 people bought this in the last hour"
How to Use:
- Show which plan is most chosen
- Display recent activity
- Include testimonials near pricing
5. Price Framing
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.
- 1mo ago First seen · 436 lines · 35 tokens per session scan A 92f9e257921d
ph-pricing-psychology is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (23 stars, last pushed 9mo ago), licensed MIT. It adds 35 tokens to every session and 2,024 once invoked, about $0.0001 per session on Opus 5.5. 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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