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 boshi-xixixi/TraeSkill --skill gtm-0-to-1-launchgit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote 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/boshi-xixixi/traeskill/gtm-0-to-1-launch)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/gtm-0-to-1-launch"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/gtm-0-to-1-launch/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/boshi-xixixi/traeskill/gtm-0-to-1-launch"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/gtm-0-to-1-launch.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 | $0.00077 | $0.02829 |
| Opus 5 | $0.00039 | $0.01414 |
| Sonnet 5 | $0.00015 | $0.00566 |
| Haiku 4.5 | $0.00008 | $0.00283 |
Grade A, and why
gtm-0-to-1-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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- 0-to-1-launch — 95% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
0-to-1 Launch
Launch new products from idea to first customers. The goal isn't headlines — it's finding 10 customers who can't live without you.
When to Use
Triggers:
- "How do we launch this product?"
- "First customer acquisition strategy"
- "We launched but nobody's using it"
- "Product Hunt vs direct outreach?"
- "We have awareness but no conversion"
- "How do I know if this is working?"
Context:
- New product launches
- Feature launches that feel like new products
- Finding first 10-50 customers
- Validating product-market fit
- Diagnosing why early traction stalls
Core Frameworks
1. Press ≠ Growth (The Launch That Got 12 Signups)
The Pattern:
Coordinated a feature launch with full press tour. TechCrunch, VentureBeat, product blogs. Big announcement day.
Result:
- 50K impressions
- 12 signups
- 2 conversions
Why It Failed:
Optimized for media buzz, not user value. The feature wasn't ready for self-serve. It needed education, context, hand-holding. Press gives you eyeballs. But eyeballs without activation = vanity.
What Works Better:
Email 50 target customers directly. "We built [feature] because teams like yours struggle with [problem]. Want early access?" Walk them through setup personally. Get feedback, iterate.
Result: 50 emails → 15 replies (30% reply rate) → 8 trials → 4 conversions (50% trial-to-paid).
The Lesson:
Early customers come from direct outreach, not press coverage. Press matters later (Series A announcement, major milestone). For 0-to-1, it's distraction.
2. The Three-Layer Diagnosis (Why Launches Stall)
The Pattern:
You launched. You have some awareness. But conversion is weak. The problem lives in one of three layers, and each requires a different intervention.
Layer 1: Positioning Problem
Symptoms:
- Messaging sounds like competitors
- Differentiation requires explaining complex technical details
- Buyers see you as interchangeable with alternatives
- Sales conversations get derailed by comparison questions
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.
- 8d ago First seen · 322 lines · 77 tokens per session scan A 3a919ad65a55
gtm-0-to-1-launch is a skill published in the GitHub repository boshi-xixixi/TraeSkill (263 stars, last pushed 4mo ago), licensed MIT. It adds 77 tokens to every session and 2,829 once invoked, about $0.0004 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 2026-09-03.
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