Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/donvito/skillsbentonpx agentmods add skills/donvito/skillsbento/product-launch-suiteWrote 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/donvito/skillsbento/product-launch-suite)<a href="https://agentmods.dev/skills/donvito/skillsbento/product-launch-suite"><img src="https://agentmods.dev/badge/skills/donvito/skillsbento/product-launch-suite/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/donvito/skillsbento/product-launch-suite"><img src="https://agentmods.dev/badge/skills/donvito/skillsbento/product-launch-suite.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 | $0.00134 | $0.01695 |
| Opus 5 | $0.00067 | $0.00847 |
| Sonnet 5 | $0.00027 | $0.00339 |
| Haiku 4.5 | $0.00013 | $0.00169 |
Grade A, and why
product-launch-suite 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Launch Suite
Generate a complete set of product launch documents: Business Strategy, Competitive Analysis, Product Roadmap, and Sales Deck.
Overview
This skill produces 4 documents for any product launch:
| # | Document | Format | Description |
|---|---|---|---|
| 1 | Business & Market Strategy | .docx | Market sizing, personas, GTM, pricing, KPIs |
| 2 | Competitive Landscape & Feasibility | .docx | Competitors, SWOT, feasibility, risks |
| 3 | Product Roadmap & Partnerships | .docx | Roadmap, priorities, partnerships, integrations |
| 4 | Sales Deck & Case Studies | .pptx | Problem/solution, demo flow, case studies, CTA |
Workflow
Step 1: Gather Product Information
Collect from the user (ask if not provided):
- Product/Company Name: The name of the product being launched
- Product Description: What it does, who it's for, core value proposition
- Target Market: Industry, geography, customer segment
- Stage: Pre-launch, MVP, growth, expansion
- Competitors (optional): Known competitors to analyze
- Pricing (optional): Existing pricing or pricing ideas
If the user provides a URL, use web_fetch to pull product details from their website.
Step 2: Research Phase
Conduct web research to gather real market data. This is critical for producing high-quality, data-backed documents rather than generic filler.
Market Research:
{product_category} market size 2024 2025
{product_category} TAM SAM SOM market sizing
{product_category} industry trends forecast
{target_market} buyer persona demographics
Competitive Research:
{product_category} competitors comparison
{competitor_name} pricing features reviews
{product_category} market share leaders
{competitor_name} strengths weaknesses
Industry Research:
{product_category} industry analysis
{product_category} barriers to entry
{product_category} trends technology
Use web_search for each query and web_fetch to read detailed pages. Aim for 8-15 searches to build a solid research foundation. Store findings in a structured research file before generating documents.
What ships with it
4 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.
- 12d ago First seen · 173 lines · 134 tokens per session scan A 75d207546977
product-launch-suite is a skill published in the GitHub repository donvito/skillsbento (2 stars, last pushed 29d ago), licensed Apache-2.0. It adds 134 tokens to every session and 1,695 once invoked, about $0.0007 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 2026-08-31.
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