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 dalroot/agentic-seo --skill product-hunt-launchgit clone --depth 1 https://github.com/dalroot/agentic-seoWrote 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/dalroot/agentic-seo/product-hunt-launch)<a href="https://agentmods.dev/skills/dalroot/agentic-seo/product-hunt-launch"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/product-hunt-launch/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/dalroot/agentic-seo/product-hunt-launch"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/product-hunt-launch.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 | $0.00097 | $0.01041 |
| Opus 5.5 | $0.00039 | $0.00416 |
| Sonnet 5.5 | $0.00019 | $0.00208 |
| Haiku 4.5 | $0.00010 | $0.00104 |
Grade A, and why
product-hunt-launch 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 today.
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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Channels: Product Hunt Launch
Guides preparing and executing a Product Hunt launch. Product Hunt is a community-driven product discovery platform; only ~10% of submissions get featured on the homepage. Best for SaaS, developer tools, AI/ML products, and productivity software. Physical products and service businesses have limited success.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Initial Assessment
Read project context first: If .claude/project-context.md or .cursor/project-context.md exists, use Sections 1–4, 5, 6, 8, 9 for submission content.
Identify:
- Product type: SaaS, AI tool, app, Chrome extension
- Launch readiness: Landing page, screenshots, tagline, first comment
- Hunter: Self-hunt or Top Hunter (optional but helps)
30-Day Preparation Plan
| Phase | Days | Actions |
|---|---|---|
| Teaser | 30–21 | Build "notify me" page; decide self-hunt vs hunter; engage in community |
| Supporters | 20–11 | Build list of 200+ (makers, industry contacts, followers, users) |
| Assets | 10–3 | Finalize tagline (≤60 chars), gallery images (1270×760), demo video (<2 min), maker comment, 3–5 topic tags; build awareness on X/LinkedIn 2–4 weeks before |
| Launch day | 2–1 | Clear calendar for 16+ hours; Product Hunt runs midnight–midnight Pacific |
Product Hunt Fields
| Field | Spec |
|---|---|
| Tagline | ≤60 chars; no emojis unless part of product name; catchy, benefit-focused |
| Gallery | 1270×760 px recommended; readable, show product value |
| Demo video | <2 minutes; optional but recommended |
| First comment | Post immediately; story-driven, not feature list; significantly impacts engagement |
| Topic tags | 3–5 relevant; match Product Hunt taxonomy |
Launch Day Strategy
| Practice | Guideline |
|---|---|
| Timing | Tuesday–Thursday; 12:01am Pacific works best |
| Narrative | Create story (problem → solution), not feature list |
| Engagement | Reply to every comment; thank supporters; answer questions |
| Avoid | Begging for upvotes (risk of shadowban) |
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.
- today First seen · 91 lines · 97 tokens per session scan A 4ed06b0b6039
product-hunt-launch is a skill published in the GitHub repository dalroot/agentic-seo (25 stars, last pushed 6d ago), licensed MIT. It adds 97 tokens to every session and 1,041 once invoked, about $0.0004 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 2026-10-26.
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