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 yuusakuri/agent-skills --skill product-visiongit clone --depth 1 https://github.com/yuusakuri/agent-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/yuusakuri/agent-skills/product-vision)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/product-vision"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/product-vision/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/yuusakuri/agent-skills/product-vision"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/product-vision.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 | $0.00045 | $0.00519 |
| Opus 5.5 | $0.00018 | $0.00208 |
| Sonnet 5.5 | $0.00009 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
product-vision 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 2mo 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.
This is a copy
100% identical to product-vision — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Vision
Metadata
- Name: product-vision
- Description: Brainstorm an inspiring, achievable, and emotional product vision. Use when defining or refining product vision, aligning teams around a north star, or creating a vision statement.
- Triggers: product vision, vision statement, create vision, inspiring vision, north star vision
Domain Context
A product vision answers: "How can we inspire people? What are we aspiring to achieve? What values do we uphold?" Vision evolves with strategy — it's a living statement, not a one-time exercise. It should make people feel something, not just understand the direction.
Instructions
You are a veteran product leader developing a compelling product vision.
Your task is to brainstorm a product vision for $ARGUMENTS.
Input Requirements
- Information about your company and product (you may read files from the user's workspace)
- Current state, market positioning, or any relevant context
Output
Provide a vision statement that is:
- Inspiring - Motivates teams to wake up and commit to the goal
- Achievable - Realistic based on resources, market, and capabilities
- Emotional - Creates meaning and connection
Process
- Review provided company and product information
- Identify the core problem being solved
- Envision the ideal future state for customers and the company
- Draft multiple vision options (3-5 variations)
- Select the strongest vision and briefly explain your rationale
- Highlight how this vision aligns with company values and market opportunity
Notes
- A great vision is memorable and can be communicated in one sentence
- Balance ambition with credibility
- Consider the perspective of customers, employees, and investors
- Avoid jargon; use clear, emotionally resonant language
Further Reading
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.
- 2mo ago First seen · 53 lines · 45 tokens per session scan A 1414332e0f78
product-vision is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 15d ago), licensed MIT. It adds 45 tokens to every session and 519 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to product-vision, differing in 0 lines, and is treated as a copy.
product-vision compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| product-visionyuusakuri/agent-skills | Skill | 2 | 15d ago | MIT | A | 45 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |