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-timing-optimizergit 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-timing-optimizer)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-timing-optimizer"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-timing-optimizer/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-timing-optimizer"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-timing-optimizer.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 | $0.01679 |
| Opus 5.5 | $0.00018 | $0.00672 |
| Sonnet 5.5 | $0.00009 | $0.00336 |
| Haiku 4.5 | $0.00005 | $0.00168 |
Grade A, and why
ph-timing-optimizer 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.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Timing Optimizer
This skill helps you choose the optimal launch timing based on your goals, available resources, and competitive landscape.
When to Use This Skill
- Deciding which day of the week to launch
- Understanding timezone implications
- Planning for specific audience targeting
- Balancing competition vs. traffic trade-offs
- Coordinating global team availability
The Golden Rule
Launch at 12:01 AM Pacific Standard Time (PST)
Product Hunt's daily cycle resets at midnight PST. Launching at 12:01 AM gives you the full 24 hours of visibility.
Timezone Conversions
| Timezone | Launch Time |
|---|---|
| PST (San Francisco) | 12:01 AM |
| EST (New York) | 3:01 AM |
| GMT (London) | 8:01 AM |
| CET (Paris/Berlin) | 9:01 AM |
| IST (Mumbai) | 1:31 PM |
| CST (Beijing) | 4:01 PM |
| JST (Tokyo) | 5:01 PM |
| AEST (Sydney) | 7:01 PM |
Day-by-Day Analysis
WEEKDAYS (Higher Traffic, Higher Competition)
Tuesday
Best For: Maximum exposure, B2B products
- Traffic Level: ★★★★★
- Competition: ★★★★★
- Badge Difficulty: Very Hard
- Newsletter: Individual daily feature
Pros:
- Highest overall engagement
- Decision-makers are active
- Maximum newsletter exposure
Cons:
- Brutal competition (often VC-backed products)
- Requires 600-900+ upvotes for #1
- Need large support network
Ideal For: Well-funded startups, products with large existing audience
Wednesday
Best For: Serious launches with strong preparation
- Traffic Level: ★★★★★
- Competition: ★★★★★
- Badge Difficulty: Very Hard
- Newsletter: Individual daily feature
Pros:
- Peak mid-week attention
- Strong B2B engagement
- High-quality comments
Cons:
- Highest competition day
- Often 700-1000+ upvotes needed for #1
- Exhausting for small teams
Ideal For: Products with viral potential, well-prepared teams
Thursday
Best For: Strong launches with slightly less competition
- Traffic Level: ★★★★☆
- Competition: ★★★★☆
- Badge Difficulty: Hard
- Newsletter: Individual daily feature
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 First seen · 270 lines · 46 tokens per session scan A 1e2bd8b21a37
ph-timing-optimizer is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (23 stars, last pushed 9mo ago), licensed MIT. It adds 46 tokens to every session and 1,679 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
oma-scholar
Search academic literature and generate, validate, or compare Knows paper sidecars. Use for claim/evidence analysis and literature synthesis.
pkf-writing
Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
work-with-creators-creator-vetting
Vets creators you have already named from their public pages. Covers the median views of their last 12 to 20 posts (sponsored and organic apart), a read of their comments, how often they post, audience fit with how sure it is, about 12 months of brand-safety checks, rival partnerships and rules for regulated…
loop-engineering
Shared loop-engineering reference for COG skills - the agent loop, deterministic verifiers, termination conditions, in-loop context management, and named patterns. Invoke when designing or debugging a skill that iterates (search-verify-retry, scan-until-dry, fetch-retry-gate).
Accessibility Manual Audit
Teach agents to guide manual accessibility audits for keyboard, screen reader, zoom, reflow, focus, and WCAG 2.2 criteria that scanners miss.