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-video-demogit 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-video-demo)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-video-demo"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-video-demo/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-video-demo"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-video-demo.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 | $0.01957 |
| Opus 5 | $0.00017 | $0.00979 |
| Sonnet 5 | $0.00007 | $0.00391 |
| Haiku 4.5 | $0.00003 | $0.00196 |
Grade A, and why
ph-video-demo 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 13d 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 — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Video Demo
This skill helps you create demo videos that capture attention, demonstrate value, and convert Product Hunt visitors into users.
When to Use This Skill
- Scripting your Product Hunt demo video
- Deciding on video format and length
- Planning the visual flow
- Choosing recording tools
- Optimizing for Product Hunt audience
Video Specifications
Technical Requirements
- Platform: YouTube only (for PH embedding)
- Visibility: Public or Unlisted (NOT Private)
- Upload timing: Before launch day (test embed!)
Optimal Length
| Type | Length | Purpose |
|---|---|---|
| Teaser | 15-30s | Quick hook, curiosity |
| Demo | 45-90s | Full product showcase |
| Walkthrough | 2-5min | Detailed tutorial |
Product Hunt Sweet Spot: 30-60 seconds
Video Structure Framework
The 3-Act Structure
ACT 1: THE HOOK (0-10 seconds)
├── Problem statement OR
├── Bold claim OR
└── Question that resonates
ACT 2: THE DEMO (10-45 seconds)
├── Show product in action
├── Highlight key features
└── Demonstrate the "aha" moment
ACT 3: THE CLOSE (45-60 seconds)
├── Recap value prop
├── Call to action
└── Special offer (optional)
Scripting Guide
Second-by-Second Template
[0:00-0:05] HOOK
"[Problem statement or attention-grabber]"
[0:05-0:10] INTRODUCTION
"[Product name] lets you [core value prop]"
[0:10-0:20] FEATURE 1 (Most impressive)
"Watch how easy it is to [action]..."
[Show action happening]
[0:20-0:30] FEATURE 2
"And when you need to [action]..."
[Show action]
[0:30-0:40] FEATURE 3 / THE WOW MOMENT
"The best part? [Unique capability]"
[Show the magic]
[0:40-0:50] RESULTS / PROOF
"[Users/Companies] have already [achieved result]"
[0:50-0:60] CTA
"Try [Product] free at [domain].
Special for Product Hunt: [offer]"
Hook Formulas
Formula 1: The Pain Point
"If you've ever spent hours [frustrating task],
you know how painful [problem] can be."
Formula 2: The Bold Claim
"What if you could [impressive outcome]
in [surprisingly short time]?"
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.
- 13d ago First seen · 336 lines · 35 tokens per session scan A a84cdc929550
ph-video-demo is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 1,957 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 2026-08-30.
Other skills, from other repositories
data-charts-tako
Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more.
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
browse-and-evaluate
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
render-3d-product-showcase
Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at…
render-airdrop-carousel
Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an…
telnyx-voice-advanced-curl
Advanced call control features including DTMF sending, SIPREC recording, noise suppression, client state, and supervisor controls. This skill provides REST API (curl) examples.