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-description-writergit 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-description-writer)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-description-writer"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-description-writer/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-description-writer"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-description-writer.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 | $0.00044 | $0.01424 |
| Opus 5 | $0.00022 | $0.00712 |
| Sonnet 5 | $0.00009 | $0.00285 |
| Haiku 4.5 | $0.00004 | $0.00142 |
Grade A, and why
ph-description-writer 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 11d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Description Writer
This skill helps you write product descriptions that convert browsers into users, using proven copywriting frameworks optimized for Product Hunt.
When to Use This Skill
- Writing your Product Hunt product description
- Refining existing description for better conversion
- Applying copywriting formulas to your messaging
- Optimizing description length and structure
- A/B testing different description approaches
Description Specifications
Technical Limits
- Maximum length: 260 characters for short description
- Full description: No hard limit (but keep scannable)
- Format: Plain text, some markdown supported
- Links: Allowed in full description
Best Practices
- Lead with value, not features
- Use short paragraphs (2-3 lines max)
- Include social proof if available
- End with clear call-to-action
- Make it scannable (bullets, formatting)
Copywriting Formulas
Formula 1: AIDA (Attention-Interest-Desire-Action)
Structure:
- Attention: Hook with a bold statement or question
- Interest: Expand on the problem or opportunity
- Desire: Show how your product delivers results
- Action: Clear CTA
Example:
Tired of losing hours to scattered notes? (A)
Your ideas deserve a home where they connect and grow. (I)
[Product] links your notes automatically, surfacing insights
you'd never find manually. 10,000+ users rediscovered their
own brilliance. (D)
Start free today → (A)
Formula 2: PAS (Problem-Agitate-Solution)
Structure:
- Problem: State the pain point clearly
- Agitate: Make the pain feel urgent
- Solution: Present your product as the answer
Example:
Building APIs takes weeks of boilerplate. (P)
Meanwhile, your competitors ship faster, iterate quicker,
and steal your market while you're still writing CRUD
endpoints. (A)
[Product] generates production-ready APIs from your database
in 60 seconds. What took weeks now takes a coffee break. (S)
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.
- 11d ago First seen · 257 lines · 44 tokens per session scan A 1e12e0eaa768
ph-description-writer is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 44 tokens to every session and 1,424 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.
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