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 | $0.00028 | $0.00418 |
| Opus 5.5 | $0.00011 | $0.00167 |
| Sonnet 5.5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
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 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.
What it actually says
Product Hunt Adapter
Facts live in platforms/producthunt.json (60-char tagline, launch asset
requirements). PH historically sits behind Cloudflare bot detection —
manual launch is the supported path, and a complete launch kit makes it easy.
What PH rewards (culture)
- "What it does, for whom" taglines — concrete beats clever.
- A demo GIF/screenshots that show the product working.
- A maker comment with the real story: why you built it.
- Launch-day presence: the maker answers every comment personally.
Drafting from the content graph (launch kit)
- name (≤40), tagline (≤60) from
core-claim— "{does what} for {whom}". context→ problem paragraph of the description.proof→ key-features list.demo/link→ product URL + gallery assets (media manifest).roadmap→ "what's next" line in the description.cta→ maker comment: personal, invitational, first-person.- Disclosures: maker comments ARE the disclosure — "I built this".
Publishing
manualonly (launch submission is web-only). The draft package contains the full kit: name, tagline, description, maker comment, media manifest, topic suggestions.- PH API v2 is read-oriented — no launch endpoint; not implemented.
- Launch timing is a human decision (Tue–Thu convention is folklore, the data file says so).
Genuine engagement
- The maker answers comments all launch day — that conversation is the point.
- Never solicit votes off-platform; PH explicitly prohibits vote-rings.
Pitfalls
- One launch per product; re-launches need a substantial update.
- Missing gallery/demo assets sinks a launch — check the media manifest.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · -73 lines · +16 tokens per session 4600d39ff03d
- 1mo 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 (12 stars, last pushed 22d ago), licensed MIT. It adds 28 tokens to every session and 418 once invoked, about $0.0001 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 2026-08-31.
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