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-tagline-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-tagline-writer)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-tagline-writer"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-tagline-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-tagline-writer"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-tagline-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 | $0.00046 | $0.01442 |
| Opus 5.5 | $0.00018 | $0.00577 |
| Sonnet 5.5 | $0.00009 | $0.00288 |
| Haiku 4.5 | $0.00005 | $0.00144 |
Grade A, and why
ph-tagline-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 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Tagline Writer
This skill helps you craft perfect taglines for Product Hunt - the single most important piece of copy that determines whether users click on your product.
When to Use This Skill
- Writing your Product Hunt tagline
- Testing multiple tagline variations
- Refining existing taglines for clarity
- Adapting taglines for different audiences
- Checking tagline against best practices
The Golden Rules
Rule 1: Under 60 Characters
- Product Hunt truncates longer taglines
- Optimal length: 40-55 characters
- Every character must earn its place
Rule 2: Instant Clarity
- Reader should understand what product does in 3 seconds
- No jargon, no buzzwords, no fluff
- Assume zero context
Rule 3: Value First
- Lead with the benefit, not the feature
- Answer "Why should I care?"
- Focus on the outcome
Proven Tagline Formulas
Formula 1: "X for Y"
Compare to known product for instant understanding.
Structure: [Known Product] for [Target Audience/Use Case]
Examples:
- "Notion for personal finance"
- "Figma for video editing"
- "Stripe for marketplace payments"
When to Use: When your product is similar to something well-known
Formula 2: Action + Outcome
State what user does and what they get.
Structure: [Action] [Object] [Positive Outcome]
Examples:
- "Turn feedback into product improvements"
- "Write emails that get replies"
- "Build apps without code"
When to Use: When the action-result relationship is clear
Formula 3: Problem Killer
Directly address the pain point.
Structure: [Eliminate/Stop/End] [Pain Point] [How]
Examples:
- "Never lose a customer email again"
- "Stop wasting time on manual reports"
- "End meeting chaos forever"
When to Use: When your audience has a clear, urgent pain
Formula 4: Speed/Ease Promise
Emphasize how fast or easy something becomes.
Structure: [Action] in [Timeframe/Ease]
Examples:
- "Create landing pages in 60 seconds"
- "Deploy APIs without configuration"
- "Design logos with one click"
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 · 220 lines · 46 tokens per session scan A 9728de30bd83
ph-tagline-writer is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (23 stars, last pushed 9mo ago), licensed MIT. It adds 46 tokens to every session and 1,442 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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