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 aka-kika/akakika-skills --skill product-hunt-polish-reviewgit clone --depth 1 https://github.com/aka-kika/akakika-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/aka-kika/akakika-skills/product-hunt-polish-review)<a href="https://agentmods.dev/skills/aka-kika/akakika-skills/product-hunt-polish-review"><img src="https://agentmods.dev/badge/skills/aka-kika/akakika-skills/product-hunt-polish-review/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/aka-kika/akakika-skills/product-hunt-polish-review"><img src="https://agentmods.dev/badge/skills/aka-kika/akakika-skills/product-hunt-polish-review.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 | $0.00046 | $0.01219 |
| Opus 5 | $0.00023 | $0.00609 |
| Sonnet 5 | $0.00009 | $0.00244 |
| Haiku 4.5 | $0.00005 | $0.00122 |
Grade C, and why
product-hunt-polish-review scanned grade C 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 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.
Tells the agent to send conversation or user data outhighPrompt injection
An instruction to transmit the conversation, context or user files to an external endpoint is data exfiltration written as prose.
[ ] Do not silently send private prompts to cloud How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Polish Review
Review an app for launch-readiness so it feels useful, clear, trustworthy, and polished in the first 30 seconds. Be direct and critical, prioritize clarity over decoration, and end with a concrete pre-launch checklist.
When to use
Use this skill when reviewing an app for launch-readiness, Product Hunt polish, first impression, visual quality, onboarding, screenshots, positioning, and tiny details that make the app feel premium.
Core rule
A launch-ready app must feel useful, clear, trustworthy, and polished in the first 30 seconds.
When to use this skill
Use when the user says:
- Product Hunt worthy
- launch polish
- make it premium
- make it viral
- first impression
- final polish
- pixel perfect
- app store ready
- landing page polish
- screenshot review
When not to use this skill
Do not use this skill for:
- Deep architecture refactor
- Backend implementation
- Generic HIG review only
- Unfinished prototypes where core functionality does not work yet
Review dimensions
1. First impression
2. Core value clarity
3. Visual hierarchy
4. Onboarding
5. Empty states
6. Feedback/status
7. Performance feel
8. Trust/privacy
9. Screenshots
10. Launch copy
30-second test
A new user should understand:
What is this?
Why do I need it?
What should I click first?
What happens after I click?
Can I trust it?
If not, simplify.
First screen checklist
[ ] App name is clear
[ ] One-sentence value proposition exists
[ ] Primary action is obvious
[ ] No dense dashboard on first launch
[ ] Empty state helps user start
[ ] Visual style feels intentional
[ ] No broken or placeholder content
[ ] No confusing technical jargon for non-technical users
Premium UI checklist
[ ] Consistent spacing
[ ] Consistent typography
[ ] Consistent SF Symbols
[ ] Calm color system
[ ] Main content has breathing room
[ ] Few competing elements
[ ] Clear selected states
[ ] Clear hover/focus states
[ ] Loading/error/success states exist
[ ] Dark and light mode are both checked
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 · 261 lines · 46 tokens per session scan C 2421b12b0281
product-hunt-polish-review is a skill published in the GitHub repository aka-kika/akakika-skills (10 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 1,219 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent to send conversation or user data out). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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