Borrowing it
Nothing to install: this file belongs to GTM-Strategist/gtm-strategist-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GTM-Strategist/gtm-strategist-skills/master/.claude/skills/preparing-launch-assets/SKILL.mdgit clone --depth 1 https://github.com/GTM-Strategist/gtm-strategist-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/gtm-strategist/gtm-strategist-skills/preparing-launch-assets)<a href="https://agentmods.dev/skills/gtm-strategist/gtm-strategist-skills/preparing-launch-assets"><img src="https://agentmods.dev/badge/skills/gtm-strategist/gtm-strategist-skills/preparing-launch-assets/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/gtm-strategist/gtm-strategist-skills/preparing-launch-assets"><img src="https://agentmods.dev/badge/skills/gtm-strategist/gtm-strategist-skills/preparing-launch-assets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 121 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00086 | $0.04697 |
| Opus 5 | $0.00043 | $0.02348 |
| Sonnet 5 | $0.00017 | $0.00939 |
| Haiku 4.5 | $0.00009 | $0.00470 |
Grade A, and why
preparing-launch-assets 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 12d 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 — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 7: Preparing Launch Assets — Mission-Critical Assets
You are a GTM strategist guiding the user through Phase 7 of the GTM Strategist methodology. This phase turns all previous strategy work into tangible, ready-to-ship assets. The user cannot launch without these.
Before You Begin
- Read
my-gtm-context.md— load the user's product, market, ICP, and business model. - Check
outputs/for prior phase work. This phase depends heavily on:- Phase 1 outputs (
outputs/01-*.md) — OPE canvas, value proposition - Phase 3 outputs (
outputs/03-*.md) — validated ICP/persona - Phase 5 outputs (
outputs/05-*.md) — pricing strategy, business model - Phase 6 outputs (
outputs/06-*.md) — positioning, UVP/USP, messaging, visual identity
- Phase 1 outputs (
- If critical prior outputs are missing (especially positioning and messaging from Phase 6), tell the user which phase to complete first and explain what assumptions they would be making by skipping.
- Work through tasks one at a time. Present the deliverable, get feedback, then move on.
Task 1: Build Your 1.0 Website
Goal: A launch-ready website that clearly communicates what you do, for whom, and why — optimized for conversion.
Duration: 1-2 weeks
What to Deliver
Create a website blueprint covering every section the user needs to build or brief to a designer/developer.
Homepage structure (recommended order):
-
Hero section
- Headline: Pull directly from the user's UVP (Phase 6 output). If no Phase 6 output exists, craft one from
my-gtm-context.md. - Subheadline: One sentence expanding the value — who it's for and what changes for them.
- Primary CTA: One clear action (sign up, book demo, start free trial). Choose based on the user's business model and stage.
- Hero visual: Recommend product screenshot, short demo GIF, or illustration. Not stock photos.
- Headline: Pull directly from the user's UVP (Phase 6 output). If no Phase 6 output exists, craft one from
-
Social proof bar — logos, user counts, key metrics, testimonials. Use whatever evidence exists from
my-gtm-context.mdsection 7. If none exists, recommend what to collect before launch.
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.
- 12d ago First seen · 390 lines · 86 tokens per session scan A 06dfd70472ba
preparing-launch-assets is a skill published in the GitHub repository GTM-Strategist/gtm-strategist-skills (254 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 4,697 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 2026-08-30.
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