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-hunter-findergit 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-hunter-finder)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-hunter-finder"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-hunter-finder/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-hunter-finder"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-hunter-finder.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 | $0.00036 | $0.01669 |
| Opus 5 | $0.00018 | $0.00834 |
| Sonnet 5 | $0.00007 | $0.00334 |
| Haiku 4.5 | $0.00004 | $0.00167 |
Grade A, and why
ph-hunter-finder 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 — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Hunter Finder
This skill helps you decide whether to work with a hunter and how to find and approach the right one for your product.
When to Use This Skill
- Deciding between self-hunt vs. hunter
- Identifying potential hunters
- Crafting hunter outreach
- Evaluating hunter fit
The Self-Hunt Reality
Key Statistics
- 79% of featured products are self-hunted
- 60% of #1 Product of the Day winners were self-hunted
- Product Hunt officially encourages self-hunting
When to Self-Hunt (Recommended)
- You have an existing audience
- You're active on Product Hunt
- You want full control
- You're building long-term PH presence
- First-time launch (learn the process)
When to Consider a Hunter
- You have zero PH presence
- Hunter has perfect niche alignment
- Hunter offers genuine mentorship
- You want external accountability
- Hunter's audience matches your target
Hunter vs Maker Comparison
| Aspect | Self-Hunt (Maker) | External Hunter |
|---|---|---|
| Control | Full control | Shared control |
| Relationship | Direct with audience | Intermediated |
| Learning | Learn the platform | Guided experience |
| Followers | Your followers | Their followers |
| Long-term | Build your presence | One-time benefit |
| Cost | Free | Often free, sometimes paid |
Finding Potential Hunters
Method 1: Product Hunt Leaderboard
- Visit Product Hunt
- Look at top launches in your category
- Note who hunted them
- Check hunter's profile and history
Method 2: Top Hunter Lists
Consistently Active Hunters:
- Kevin William David (@kevin) - 3,470+ products hunted
- Chris Messina (@chrismessina) - 700+ coaching calls
- Ryan Hoover (@rrhoover) - Founder, 840+ products
- Flo Merian (@fmerian) - Developer tools focus
- Alex Vokis (@byalexai) - AI products
- Rohan Gilkes (@rohanrecommends) - Active hunter
Method 3: Niche-Specific Search
- Search PH for products like yours
- Find top performers in your category
- Identify who hunted them
- Check if hunter specializes in your niche
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 · 293 lines · 36 tokens per session scan A 1750edd4206b
ph-hunter-finder is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 36 tokens to every session and 1,669 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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