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 agentmods add skills/gingiris-1031/gingiris-skills/gr-ph-launchnpx skills add Gingiris-1031/gingiris-skills --skill gr-ph-launchgit clone --depth 1 https://github.com/Gingiris-1031/gingiris-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/gingiris-1031/gingiris-skills/gr-ph-launch)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gr-ph-launch"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gr-ph-launch.svg" alt="Measured on agentmods" 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 | $0.00095 | $0.01884 |
| Opus 5 | $0.00048 | $0.00942 |
| Sonnet 5 | $0.00019 | $0.00377 |
| Haiku 4.5 | $0.00010 | $0.00188 |
Grade A, and why
gr-ph-launch 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 6d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ 2C 产品慎用 Product Hunt
本 skill 默认 dev / maker / B2B 受众。2C 消费品 / 教育 / 应用 / 游戏:Product Hunt 受众是 maker/科技人,与普通消费者错配、ROI 极低——最多发一次拿个 badge。请把精力换到 垂类社区(Reddit / 小红书 / 知乎 / Naver 카페)+ 短视频(TikTok / 抖音 / YouTube)+ 垂直 KOL,并用"免费产品当钩子"做转化。完整 2C 渠道数据库(各国 MAU + 公开来源)+ 三路 Launch 分叉见 → gingiris-seo-geo/references/2c-adaptation.md(及 gingiris-launch)。
gr-ph-launch — Product Hunt 发布
深度参考
详细方法论与案例库见:
references/framework.md—— 14 天时间线 + 5 大板块references/hunter-playbook.md—— hunter 选择矩阵references/maker-comment.md—— maker comment 6 种模板
注:首次使用时 Claude 应读
references/framework.md再开始。
14 天时间线(精简版)
T-14:准备
- 产品页面就绪(落地页、定价、FAQ)
- 已有 ≥ 100 早鸟用户 + 邮箱列表
- 选 1 个 hunter(优先级:活跃 > follower 数)
- 筹备 3 张主 gallery 图 + 1 个 30 秒 demo video
T-7 到 T-2:预热
- PH discussion 板块发 1 篇"we're launching, AMA"
- Twitter / LinkedIn / Reddit 预告(不贴 launch 页面链接,避免抢流量)
- Newsletter 给用户打招呼
- 确认 hunter 时区 + 发布时间(PST 00:01)
T-1:终检
- 所有 asset 最终版锁定
- 准备 first comment 文稿(500 字以内)
- 准备 10 条可能的 FAQ 回复模板
- 联系 10-20 个核心支持者提醒明早
T-0:发布日
- 00:01 PST hunter 发布
- 00:15 maker(你)发 first comment
- 整天:每 30 分钟回一批评论;不刷 upvote
- 14:00 PST:peak time,推 second wave(通讯录 + community)
- 23:00 PST:总结发一条感谢帖
T+1 到 T+7:momentum
- 回完所有评论(包括差评)
- 把 PH featured 截图 + 数据做成 case study
- 若进入 daily #1 → 做一篇"how we won"博客(
gr-blog-post) - 将所有 upvoter 邮箱导入用户池
Hunter 选择矩阵
| 优先级 | 标准 |
|---|---|
| P0 | 最近 30 天有成功 hunt 且产品领域相似 |
| P1 | Follower 1k+ 且活跃(每周发帖) |
| P2 | 跟你有真实社交关系(聊过、共同朋友) |
| ❌ | Follower > 50k 但已 6 个月没 hunt |
搜 hunter:https://www.producthunt.com/@<category>-hunters
Maker Comment 6 种模板
(详见 references/maker-comment.md)
- Founder story:为什么做 → 你的痛 → 解法
- Before / After:有你的产品前 vs 后,对比鲜明
- Key stats hook:一个爆炸性数据开头
- Honest limitation:承认产品还不完美,显得真实
- Community thanks:感谢参与测试的用户(点名 @)
- Tech stack pride:讲技术选型(适合开发者向产品)
选哪个:看目标受众。To dev → 6;to general → 1 或 3。
反踩雷清单
- ❌ 不要在 launch 当天还在改产品(flaky)
- ❌ 不要让家人朋友刷 upvote(PH shadowban 很快)
- ❌ 不要在 first comment 留外部链接(触发审核降权)
- ❌ 不要忘记 mobile 截图(40% 流量来自手机)
- ❌ 不要硬撑 daily #1,#2-#3 也是成功(且少被喷)
What ships with it
7 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.
- 6d ago First seen · 163 lines · 95 tokens per session scan A a7c5d1f463b6
gr-ph-launch is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (77 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 1,884 once invoked, about $0.0005 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.
Other skills, from other repositories
gingiris-launch
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Plan and execute multi-channel product launches with pre-launch waitlists, early access for VIPs, launch day orchestration, and post-launch momentum.
magazine-web-ppt
For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes. Built around the core query "annual-marketing-plan", with GTM strategy lead judgment, buyer-ready proof, and this outcome: approve launch plan, campaign budget, or GTM motion.
html-ppt-zhangzara-coral
OpenDesign's community-growth campaign across GitHub, Discord, and X: the loops, the content calendar, and the pipeline math. Built as a decision-grade marketing & GTM deck for growth team, community lead.
deck-guizang-editorial
OpenDesign's FY26 marketing plan: brand-to-pipeline — audience, offer, channel mix, and the launch calendar that ties creative to growth. Built as a decision-grade marketing & GTM deck for CMO, growth lead, founder.