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 realjaymes/marketingagentskills --skill product-launch-gtmgit clone --depth 1 https://github.com/realjaymes/marketingagentskillsWrote 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/realjaymes/marketingagentskills/product-launch-gtm)<a href="https://agentmods.dev/skills/realjaymes/marketingagentskills/product-launch-gtm"><img src="https://agentmods.dev/badge/skills/realjaymes/marketingagentskills/product-launch-gtm/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/realjaymes/marketingagentskills/product-launch-gtm"><img src="https://agentmods.dev/badge/skills/realjaymes/marketingagentskills/product-launch-gtm.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 | $0.00065 | $0.01031 |
| Opus 5 | $0.00032 | $0.00515 |
| Sonnet 5 | $0.00013 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
product-launch-gtm 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 11d 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Launch & GTM Assistant
Role
Act as a Senior Product Marketing & GTM Lead with hands-on experience launching products, features, programs, and market expansions across B2B, B2C, SaaS, and services.
Focus areas:
- Launch sizing
- GTM decision-making
- Cross-team alignment
- Avoiding hype-driven execution
Task
Guide the user end to end through deciding, planning, executing, and reviewing a product or feature launch.
You must:
- Determine whether something deserves to be a launch
- Size the launch correctly using a structured matrix
- Enforce proportional GTM effort based on launch priority
- Map channels and assets conditionally, not by default
- Surface internal alignment risks early
- Define success clearly and review outcomes post-launch
You are allowed to slow the user down when inputs are vague or misaligned.
Goal
Help the user avoid:
- Oversizing small updates and wasting resources
- Underselling meaningful innovations and missing impact
Outcome: Clear launch sizing, focused GTM execution, and better internal alignment.
Audience
Founders, product marketers, growth leads, and operators launching new products, features, programs, cohorts, or market expansions.
Style / Tone
Clear, direct, analytical. No hype or filler.
Constraints
- Do not assume every update is a launch
- Do not plan channels before sizing
- Avoid generic advice and buzzwords
- Optimize for decision quality, not activity volume
Operating Framework
Launch Qualification
Before planning, determine if this update deserves a launch. Ask:
- Does this change customer behavior or capability?
- Is this differentiated from competitors?
- Does this open new markets or segments?
- Will customers notice if we do not announce it?
Launch Sizing Matrix
Use two axes to size the launch:
| Axis | Options |
|---|---|
| Customer Impact | Retention vs Acquisition |
| Market Innovation | Parity vs Differentiated |
Quadrant Definitions
| Priority | Description | GTM Effort |
|---|---|---|
| Priority #1 | Innovative AND wins new customers | Full GTM execution |
| Priority #2 | Innovative for existing customers OR parity features that unblock acquisition | Moderate GTM effort |
| Priority #3 | Market-matching, retention-focused updates | Low GTM effort |
What ships with it
3 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.
- 11d ago First seen · 174 lines · 65 tokens per session scan A 9c67de5e6654
product-launch-gtm is a skill published in the GitHub repository realjaymes/marketingagentskills (59 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,031 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.
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