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-email-strategygit 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-email-strategy)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-email-strategy"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-email-strategy/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-email-strategy"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-email-strategy.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 | $0.00041 | $0.02036 |
| Opus 5 | $0.00020 | $0.01018 |
| Sonnet 5 | $0.00008 | $0.00407 |
| Haiku 4.5 | $0.00004 | $0.00204 |
Grade A, and why
ph-email-strategy 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 — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Email Strategy
This skill helps you plan and execute email campaigns that drive engagement for your Product Hunt launch while staying compliant with community guidelines.
When to Use This Skill
- Planning pre-launch email sequence
- Writing launch day email campaigns
- Timing email waves across timezones
- Crafting compliant outreach messages
- Creating follow-up email sequences
The Golden Rules
Rule 1: Never Ask for Upvotes
- ❌ "Please upvote our product"
- ❌ "Every vote counts"
- ❌ "Help us reach #1"
- ✓ "Check it out and share your feedback"
- ✓ "We'd love your support"
- ✓ "Let us know what you think"
Rule 2: Stagger Your Sends
- Don't send to everyone at once
- Algorithm flags sudden traffic spikes
- Spread across 5-6 waves over 24 hours
Rule 3: Segment Your Audience
- Different messages for different groups
- Personal > mass email
- Quality engagement > quantity
Email Timeline
Pre-Launch Sequence
T-14 days: Awareness Email
Subject: We're launching something new...
Hey [Name],
In 2 weeks, we're launching [Product] on Product Hunt.
[1-2 sentences about what it does]
Want to be notified when we go live?
[Optional: Early access or sneak peek link]
Best,
[Your Name]
T-7 days: Reminder + Preview
Subject: 7 days until launch 🚀
Hey [Name],
One week from today, [Product] goes live on Product Hunt.
Here's a sneak peek: [Screenshot or GIF]
[Key feature highlight]
Mark your calendar: [Date, Time PST]
Talk soon,
[Your Name]
T-1 day: Final Countdown
Subject: Tomorrow's the day
Hey [Name],
Tomorrow at 12:01 AM PST, we launch on Product Hunt.
Here's exactly what [Product] does:
• [Benefit 1]
• [Benefit 2]
• [Benefit 3]
I'd really appreciate your support — even just checking
it out and leaving honest feedback means the world.
I'll send the link as soon as we're live.
Thanks for being part of this journey,
[Your Name]
Launch Day Emails (The 5-6 Wave Strategy)
Wave 1: Midnight PST (for Night Owls / APAC)
Recipients: Australia, Asia, Night owl friends
Time: 12:01 AM - 1:00 AM PST
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 · 363 lines · 41 tokens per session scan A e34f2a7aa3fc
ph-email-strategy is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 2,036 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-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…
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…
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.