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-post-launch-followupgit 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-post-launch-followup)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-post-launch-followup"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-post-launch-followup/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-post-launch-followup"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-post-launch-followup.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 | $0.02119 |
| Opus 5.5 | $0.00014 | $0.00848 |
| Sonnet 5.5 | $0.00007 | $0.00424 |
| Haiku 4.5 | $0.00003 | $0.00212 |
Grade A, and why
ph-post-launch-followup 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 — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Post-Launch Follow-Up
This skill helps you execute effective follow-up activities after your Product Hunt launch to maximize long-term value.
When to Use This Skill
- The day after your launch
- Thanking supporters and community
- Collecting reviews on other platforms
- Following up with new signups
- Maintaining launch momentum
Post-Launch Timeline
Day 1 (Launch Day Ends)
Immediate Actions:
- Post final thank you on PH comments
- Share results on social media
- Send thank you email to supporters
- Document final metrics
- Screenshot rankings and badges
Day 2-3
Follow-Up Actions:
- Personal thanks to top commenters
- Respond to any remaining comments
- Email new signups (welcome sequence)
- Reach out to interested prospects
- Begin feedback collection
Week 1
Consolidation:
- Request reviews on G2/Capterra
- Share launch retrospective
- Implement quick wins from feedback
- Engage with ongoing discussions
- Claim product hub
Week 2-4
Momentum Maintenance:
- Publish launch case study
- Follow up with unconverted signups
- Build relationships with active users
- Plan for potential relaunch
Thank You Communications
To Core Supporters
Subject: You made it happen 🙏
Hey [Name],
The launch is done, and I wanted to send a personal
thank you.
We finished [#X Product of the Day / with X upvotes],
and your support made a real difference.
[Personal note about their specific help]
Results:
• [X] people signed up
• [X] incredible comments
• [Key highlight or surprise]
This is just the beginning, and I'm grateful to have
you in my corner.
Let me know if there's ever anything I can do for you.
Best,
[Your Name]
P.S. [Personal note or next steps]
To Newsletter/Community
Subject: What happened after our Product Hunt launch
Hey [Name],
Quick update on our Product Hunt launch:
📊 THE NUMBERS
• Final ranking: #[X] of the Day
• [X] upvotes from the community
• [X] new users joined us
💬 THE FEEDBACK
The Product Hunt community gave us incredible feedback.
The most requested feature was [X], and we're already
working on it.
🎁 STILL AVAILABLE
If you missed it, the [offer] is still valid through
[date]. Use code [CODE].
🙏 THANK YOU
Thanks to everyone who supported the launch. This
community continues to amaze me.
What's next: [Brief roadmap]
[Your Name]
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 · 408 lines · 35 tokens per session scan A 16ead5890e3d
ph-post-launch-followup 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 2,119 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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