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 Gingiris-1031/gingiris-skills --skill startup-launch-playbookgit 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/startup-launch-playbook)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/startup-launch-playbook"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/startup-launch-playbook/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/gingiris-1031/gingiris-skills/startup-launch-playbook"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/startup-launch-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01019 |
| Opus 5 | $0.00029 | $0.00509 |
| Sonnet 5 | $0.00012 | $0.00204 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
startup-launch-playbook 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 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.
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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ 区分 B2B 与 2C
本 skill 默认偏 dev / 开源 / B2B SaaS。若产品是 2C 消费品 / 教育 / 应用 / 游戏：核心指标换成 D1/D7/D30 留存、激活率、病毒系数 K（非 MRR/CAC/LTV）；冷启动渠道换成垂类社区 / 短视频 / 垂直 KOL（非 PH/HN/LinkedIn）。完整 2C 适配指南 + 各国渠道公开数据见 → gingiris-seo-geo/references/2c-adaptation.md。
Early-Stage Startup Launch — Pre-Seed to First 1000 Users
📦 Install
clawhub install startup-launch-playbook
What you get after installing:
- MVP validation framework (test demand before you scale)
- First 10 → 100 → 1000 users channel playbook
- Founder-led sales templates for cold outreach with zero brand
A tactical guide for founders who've built something and need their first real users.
- MVP validation: How to test demand before you scale
- First 10 → 100 → 1000 users: Channel playbook for each stage
- Founder-led sales: Templates for cold outreach when you have zero brand
- Traction metrics: What to measure at pre-seed vs seed stage
- Bootstrapping tactics: Growth without paid ads or VC money
First 1000 Users on a Founder Budget (2026 benchmarks)
What each budget tier realistically returns
- ~$1K: a few hundred signups — small YouTube ad tests + ~20 niche subreddits + a couple hundred topic groups worked with a DM workflow. This is the pre-seed default recipe.
- ~$5K: enough to reach ~1,800 votes in 24h — but a campaign that did exactly that had its daily #1 revoked in a post-hoc vote sweep. Read the next rule before spending it there.
- $10–20K: about a million impressions and low-four-figure signups; also the observed ballpark for a five-person team to land a 10K-star open-source launch.
The pre-seed Product Hunt rule
Under ~$5K, stay off the leaderboard. Measured conversion explains why: PH exposure turns into upvotes at about 1%, while Reddit posts for an open-source tool turn exposure into stars at 5–8%. Ten micro-creators on Twitter will beat a PH push on both reach and registrations at identical cost. Collect the PH badge later, when it's cheap relative to your budget.
What ships with it
5 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 · 77 lines · 58 tokens per session scan A 847dd8e44ed2
startup-launch-playbook is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (79 stars, last pushed 5d ago), licensed MIT. It adds 58 tokens to every session and 1,019 once invoked, about $0.0003 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
design-go-to-market-strategy
Use when launching a new product, entering a new market, or planning the commercialization approach for a startup or new business unit.
a-b-testing
Design statistically sound GTM experiments for copy, channels, landing pages, sequencing, pricing, and funnel conversion. Produces hypothesis, sample-size logic, success metrics, test plan, analysis method, and scale/stop/kill recommendation. Use when planning A/B tests, split tests, or experiment roadmaps.
attribution
Build practical B2B attribution models across first touch, lead creation, opportunity creation, multi-touch, account-based influence, and sales-sourced revenue. Produces model comparison, UTM governance, source-of-truth rules, and channel ROI view. Use when marketing and sales disagree on source or ROI.
campaign-analytics
Analyze campaign performance from deliverability through revenue: delivery, engagement, replies, meetings, SQOs, pipeline, CAC, and payback. Produces diagnostic scorecard, root-cause analysis, benchmark comparison, and next-action plan. Use when deciding whether to scale, fix, or kill campaigns.
deliverability-monitoring
Monitor outbound deliverability health across domains, inboxes, DNS, bounces, spam placement, reply rates, and reputation signals. Produces alert thresholds, dashboard spec, weekly QA checklist, and remediation playbook. Use when inboxing drops, bounce rates rise, campaigns underperform, or new infrastructure launches.
tracking-plan
Master analytics tracking plan for PLG and B2B SaaS — unified event taxonomy, pixel strategy (1P and 3P tagging), marketing attribution architecture, CDP implementation (Segment, Rudderstack), product analytics (Amplitude, Mixpanel, PostHog), CRM tracking (HubSpot, Salesforce), and analytics infrastructure design. Use…