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 tang-vu/social-posting-skills --skill post-producthuntgit clone --depth 1 https://github.com/tang-vu/social-posting-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/tang-vu/social-posting-skills/post-producthunt)<a href="https://agentmods.dev/skills/tang-vu/social-posting-skills/post-producthunt"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-producthunt/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/tang-vu/social-posting-skills/post-producthunt"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-producthunt.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 | $0.00012 | $0.00849 |
| Opus 5 | $0.00006 | $0.00425 |
| Sonnet 5 | $0.00002 | $0.00170 |
| Haiku 4.5 | $0.00001 | $0.00085 |
Grade A, and why
post-producthunt 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Posting Skill
Platform Overview
Product Hunt is the go-to platform for launching tech products and discovering new tools. 10M+ monthly visitors, mostly tech-savvy early adopters, founders, VCs, and journalists. A successful launch can drive thousands of signups in a single day.
Platform Constraints
- Product Launch: One launch per product (can re-launch with major updates)
- Discussions: Text posts in community discussion forum
- Media: Product screenshots, demo videos, logo (required for launches)
- Upvotes: Community-driven ranking system
- Comments: Q&A style on product pages
Posting Method: MANUAL PASTE
Product Hunt uses Cloudflare bot detection which blocks browser automation. The agent generates content and saves it to
posts/drafts/producthunt_post.md. You paste it manually.
Post Types
1. Product Launch (Major Event)
Pre-launch Checklist:
- Hunter/maker account verified
- Product name, tagline (60 chars max), description
- 4-6 high-quality screenshots or demo GIF
- Maker comment prepared (first comment explaining your story)
- Launch day: Tuesday-Thursday (best engagement)
Tagline Formula:
{What it does} for {who it's for}
Examples:
- "AI writing assistant for developers"
- "Open-source analytics for side projects"
Description Format:
{Problem}: {1-2 sentences about the pain point}
{Solution}: {What your product does differently}
{Key features}:
- Feature 1: {benefit}
- Feature 2: {benefit}
- Feature 3: {benefit}
{Tech stack or unique approach}
{Current status}: {beta, launched, X users, etc.}
We'd love your feedback!
Maker Comment Template:
Hey Product Hunt!
I'm {name}, the maker of {product}.
I built this because {personal story about the problem}.
{What makes this different from alternatives}
Here's what's next on our roadmap:
- {Feature 1}
- {Feature 2}
I'm here all day to answer questions. What would you like to know?
2. Discussion Post
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 · 121 lines · 12 tokens per session scan A acb3e35ef092
post-producthunt is a skill published in the GitHub repository tang-vu/social-posting-skills (9 stars, last pushed 6mo ago), licensed MIT. It adds 12 tokens to every session and 849 once invoked, about $0.0001 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 2026-08-31.
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