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 yoanbernabeu/producthunt-skills --skill ph-comment-respondergit clone --depth 1 https://github.com/yoanbernabeu/producthunt-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/yoanbernabeu/producthunt-skills/ph-comment-responder)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-comment-responder"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-comment-responder/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/yoanbernabeu/producthunt-skills/ph-comment-responder"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-comment-responder.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 | $0.00035 | $0.01878 |
| Opus 5 | $0.00017 | $0.00939 |
| Sonnet 5 | $0.00007 | $0.00376 |
| Haiku 4.5 | $0.00003 | $0.00188 |
Grade A, and why
ph-comment-responder 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 11d 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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Comment Responder
This skill helps you respond to Product Hunt comments effectively, maintaining engagement and building community throughout your launch.
When to Use This Skill
- Responding to comments on launch day
- Handling different types of feedback
- Maintaining consistent response quality
- Managing negative comments
- Encouraging deeper discussions
Why Comments Matter
Algorithm Impact
- Comments signal engagement
- Response rate affects visibility
- Discussion depth matters
- Quality > Quantity
Community Impact
- Builds trust with potential users
- Shows you're active and care
- Encourages others to comment
- Creates social proof
Response Guidelines
The 9-Minute Rule
Aim to respond to every comment within 9 minutes during peak hours. This:
- Shows you're present
- Keeps conversation flowing
- Impresses observers
- Maintains momentum
Response Principles
- Be Genuine - No copy-paste generic responses
- Add Value - Provide useful information
- Stay Positive - Even with criticism
- Ask Questions - Keep conversation going
- Be Concise - Respect everyone's time
Comment Types & Responses
Type 1: Simple Praise
Comment: "Great product! Love it!"
Response Strategy:
- Thank them genuinely
- Ask a follow-up question
- Personalize if possible
Template:
Thanks so much, [Name]! 🙏
Really appreciate you checking it out. What brought you
to [Product]? Would love to know what problem you're
hoping to solve with it!
Type 2: Detailed Praise
Comment: "This solves exactly the problem I've been having with [specific issue]. The [feature] is brilliant!"
Response Strategy:
- Acknowledge their specific points
- Share relevant context
- Invite deeper engagement
Template:
[Name], this made my day! That [specific issue] was exactly
why we built [feature] — we experienced the same pain.
Fun fact: [related insight about the feature/decision]
If you have any ideas for making it even better, I'm all ears!
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.
- 11d ago First seen · 367 lines · 35 tokens per session scan A 51c6f3b385bc
ph-comment-responder is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 1,878 once invoked, about $0.0002 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 2026-08-30.
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