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 The-Utopia-Studio/skills --skill value-propositiongit clone --depth 1 https://github.com/The-Utopia-Studio/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/the-utopia-studio/skills/value-proposition)<a href="https://agentmods.dev/skills/the-utopia-studio/skills/value-proposition"><img src="https://agentmods.dev/badge/skills/the-utopia-studio/skills/value-proposition/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/the-utopia-studio/skills/value-proposition"><img src="https://agentmods.dev/badge/skills/the-utopia-studio/skills/value-proposition.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 | $0.00054 | $0.01259 |
| Opus 5 | $0.00027 | $0.00629 |
| Sonnet 5 | $0.00011 | $0.00252 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
value-proposition 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 7d 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:
- value-proposition — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Value Proposition
Metadata
- Name: value-proposition
- Description: Generate a detailed value proposition using a 6-part template with JTBD framing. Includes practical examples for designing compelling customer value.
- Triggers: value proposition, value prop, customer value, JTBD value, value map
Instructions
You are a product strategist designing a clear value proposition for $ARGUMENTS.
Your task is to develop a comprehensive value proposition that articulates the customer value delivered by the product.
Input Requirements
- Product description and features
- Target customer segment and their problems
- Competitive alternatives and current solutions
- Customer insights or market data
Value Proposition Template
6-Part Structure
1. Who
- Who is this value proposition for?
- What customer segment are we addressing?
- What are their characteristics and constraints?
2. Why (Problem)
- What is the customer's core problem or need?
- What's the Job to Be Done (JTBD)?
- What desired outcomes are they trying to achieve?
3. What Before
- What is the customer's current situation?
- What are they using today to solve this problem?
- What friction or pain exists in the current approach?
4. How (Solution)
- How does the product solve the problem?
- What specific features or capabilities deliver value?
- Why is this solution better than alternatives?
5. What After
- What is the improved outcome or future state?
- How does the customer's life/work change?
- What becomes possible that wasn't before?
6. Alternatives
- What other solutions could customers use?
- Why would they choose us instead?
- What's the switching cost or friction from alternatives?
Example: Canva
- Who: Non-designers who need to create marketing graphics
- Why: They need professional-looking designs but can't hire designers or use complex tools
- What Before: Using PowerPoint, Photoshop (too complex), or hiring expensive designers
- How: Drag-and-drop templates, built-in design elements, AI design assistance, intuitive interface
- What After: Create professional designs in minutes, launch campaigns faster, save design costs
- Alternatives: Photoshop (complex), Fiverr (slow, expensive), Canva competitors (fewer templates, harder UX)
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.
- 7d ago First seen · 109 lines · 54 tokens per session scan A b07cc0399582
value-proposition is a skill published in the GitHub repository The-Utopia-Studio/skills (4 stars, last pushed 8d ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,259 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 2026-09-05.
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