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 Varnan-Tech/opendirectory --skill producthunt-launch-kitgit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/producthunt-launch-kit)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/producthunt-launch-kit"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/producthunt-launch-kit/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/varnan-tech/opendirectory/producthunt-launch-kit"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/producthunt-launch-kit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 165 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Data Exfiltration · line 165 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00058 | $0.03644 |
| Opus 5 | $0.00029 | $0.01822 |
| Sonnet 5 | $0.00012 | $0.00729 |
| Haiku 4.5 | $0.00006 | $0.00364 |
Grade A, and why
producthunt-launch-kit scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST \ How it starts
The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Launch Kit
Generate every asset you need for a Product Hunt launch: listing copy, maker comment, and day-one social posts.
Critical rule: Product Hunt taglines are maximum 60 characters. Descriptions are maximum 500 characters. Never make factual claims that cannot be verified. Never mention competitor names. Never say "free" unless the product is permanently free (not just a trial).
Step 1: Gather Product Details
You need:
- Product name
- What it does (technical description, one sentence)
- Primary use case and target user
- Key differentiator from existing tools
- Pricing: free, freemium, paid (starting price)
- Open source: yes/no
- Launch date (for scheduling context)
- Any credentials, launch discount, or promo code to offer
- 2-3 things that make it worth upvoting (honest reasons, not marketing)
If any of these are missing, ask in one message before proceeding.
Also check for project context files:
ls README.md 2>/dev/null && echo "README found"
ls package.json 2>/dev/null && echo "package.json found"
If README.md exists, read the first 80 lines to extract product description and key features before asking questions.
Step 2: Gallery Strategy
Product Hunt requires screenshots. Most listings fail because of weak or missing gallery images. Plan these before writing copy.
Spec: 1270×760px, PNG or JPG, max 8 images. The first image is the hero: it appears in feeds and cards.
Five-position framework:
| Position | Purpose | What to show |
|---|---|---|
| 1 (Hero) | First impression in feeds | Product in use, clean UI or terminal output, no text overlays |
| 2 (Feature demo) | Show the core action | The thing that makes the product click: the "aha" moment |
| 3 (Before/After) | Show the problem being solved | Split screen: messy/slow state vs. clean/fast state |
| 4 (Social proof) | Build credibility | A real quote, a stat, or a before/after metric from a real user |
| 5 (Technical differentiator) | Address skeptics | Architecture diagram, benchmark, or the unusual technical decision |
What ships with it
4 files 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.
- 9d ago First seen · 381 lines · 58 tokens per session scan A 08debebbecd4
producthunt-launch-kit is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 23d ago), licensed MIT. It adds 58 tokens to every session and 3,644 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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