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-content-recyclinggit 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-content-recycling)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-content-recycling"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-content-recycling/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-content-recycling"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-content-recycling.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 | $0.00040 | $0.02034 |
| Opus 5.5 | $0.00016 | $0.00814 |
| Sonnet 5.5 | $0.00008 | $0.00407 |
| Haiku 4.5 | $0.00004 | $0.00203 |
Grade A, and why
ph-content-recycling 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 — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Content Recycling
This skill helps you repurpose Product Hunt launch content across multiple channels to extend your launch impact.
When to Use This Skill
- After your PH launch
- Maximizing content ROI
- Building your content library
- Extending launch visibility
- Creating evergreen materials
The Content Recycling Framework
What You Created for PH
LAUNCH ASSETS:
├── Tagline
├── Description (short + long)
├── Maker comment
├── Gallery images (4-6)
├── Video demo
├── Thumbnail/GIF
├── Email templates
├── Social posts
└── Supporter materials
Where to Repurpose
DESTINATION CHANNELS:
├── Website (landing page, about, features)
├── Blog (launch story, learnings, how-to)
├── Documentation (README, quickstart)
├── Social media (ongoing posts)
├── Email marketing (sequences)
├── Other platforms (directories, communities)
├── Sales materials (decks, one-pagers)
└── PR/Media (press releases, pitches)
Channel-by-Channel Guide
1. Website Updates
Landing Page:
- Tagline → Headline
- Description → Value proposition section
- Gallery images → Feature screenshots
- Video → Hero or features section
- Maker comment → About section
Features Page:
- Gallery images → Feature highlights
- Demo video → Embedded walkthrough
- Description points → Feature list
About Page:
- Origin story from maker comment
- Mission/vision from description
- Team info (if mentioned)
Homepage Badge:
<!-- Product Hunt Badge -->
<a href="https://www.producthunt.com/posts/your-product">
<img src="https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=YOUR_ID" />
</a>
2. Blog Content
Launch Announcement Post:
Title: "Introducing [Product]: [Tagline]"
Contents:
- What we launched (description)
- Why we built it (maker comment story)
- Key features (from gallery)
- Getting started (CTA)
Launch Retrospective:
Title: "What We Learned Launching on Product Hunt"
Contents:
- Our results (numbers)
- What worked
- What didn't
- Advice for others
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 · 409 lines · 40 tokens per session scan A 353da4eda76a
ph-content-recycling is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (23 stars, last pushed 9mo ago), licensed MIT. It adds 40 tokens to every session and 2,034 once invoked, about $0.0002 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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