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-supporter-networkgit 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-supporter-network)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-supporter-network"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-supporter-network/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-supporter-network"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-supporter-network.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 | $0.00038 | $0.02140 |
| Opus 5.5 | $0.00015 | $0.00856 |
| Sonnet 5.5 | $0.00008 | $0.00428 |
| Haiku 4.5 | $0.00004 | $0.00214 |
Grade A, and why
ph-supporter-network 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Supporter Network
This skill helps you build, organize, and activate a network of supporters who will genuinely engage with your Product Hunt launch.
When to Use This Skill
- Building your pre-launch supporter list
- Categorizing supporters by relationship strength
- Creating outreach templates for different groups
- Coordinating launch day support
- Maximizing authentic engagement
Why Supporter Networks Matter
The Reality
- Top launches have 50-200+ active supporters
- Algorithm weighs account quality heavily
- Genuine engagement > raw numbers
- Comments matter as much as upvotes
What Makes Good Support
- ✓ Actual Product Hunt users (not new accounts)
- ✓ Thoughtful comments (not just "Great!")
- ✓ Authentic interest in your product
- ✓ Staggered engagement (not all at once)
Building Your Supporter List
Categories of Supporters
Tier 1: Inner Circle (Target: 20-50)
Who:
- Co-founders, team members
- Close friends and family (who use PH)
- Early beta users
- Advisors and investors
Characteristics:
- Will definitely support
- High engagement quality
- Personal relationship
Tier 2: Warm Network (Target: 50-100)
Who:
- Professional connections
- Industry peers
- Past colleagues
- Active community members
Characteristics:
- Likely to support if asked
- Understand your product
- Have PH accounts
Tier 3: Extended Network (Target: 100-300)
Who:
- Newsletter subscribers
- Social media followers
- Past customers
- One-time interactions
Characteristics:
- May support if convenient
- Less personal connection
- Varying PH activity levels
Tier 4: Reciprocal (Target: 20-50)
Who:
- Other makers you've supported
- Launch swap partners
- Community reciprocity
Characteristics:
- Mutual benefit relationship
- Understand launch dynamics
- Active PH users
Supporter Qualification
Ideal Supporter Profile
- ✓ Has Product Hunt account
- ✓ Account is 30+ days old
- ✓ Has some activity history
- ✓ Genuinely interested in your product category
- ✓ Can write thoughtful comment
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 · 386 lines · 38 tokens per session scan A efe5810e9306
ph-supporter-network is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (23 stars, last pushed 9mo ago), licensed MIT. It adds 38 tokens to every session and 2,140 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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