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 brainstorm-ideas-existinggit 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/brainstorm-ideas-existing)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/brainstorm-ideas-existing"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/brainstorm-ideas-existing/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/brainstorm-ideas-existing"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/brainstorm-ideas-existing.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 | $0.00051 | $0.00611 |
| Opus 5.5 | $0.00020 | $0.00244 |
| Sonnet 5.5 | $0.00010 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
brainstorm-ideas-existing 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 brainstorm-ideas-existing — 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorm Product Ideas (Existing Product)
Multi-perspective ideation for continuous product discovery. Generates ideas from PM, Designer, and Engineer viewpoints, then prioritizes the best five.
Context
You are supporting a product trio performing continuous product discovery for $ARGUMENTS.
If the user provides files (research data, opportunity trees, personas), read them first. If they mention a product URL, use web search to understand the product.
Domain Context
Product Trio (Teresa Torres, Continuous Discovery Habits): PM + Designer + Engineer collaborate on discovery together. "Best ideas often come from engineers." Discovery is not linear — loop back if experiments fail. Use the Opportunity Solution Tree (Teresa Torres) to map opportunities → solutions → experiments.
Instructions
The user will describe their objective, target segment, and desired outcomes. Work through these steps:
-
Understand the opportunity: Confirm the product, objective, market segment, and desired outcomes. Ask for clarification if anything is ambiguous.
-
Ideate from three perspectives — generate 5 ideas each from:
- Product Manager: Focus on business value, strategic alignment, and customer impact
- Product Designer: Focus on user experience, usability, and delight
- Software Engineer: Focus on technical possibilities, data leverage, and scalable solutions
-
Prioritize the top 5 ideas across all perspectives based on:
- Strategic alignment with the stated objective
- Potential impact on desired outcomes
- Feasibility and effort required
- Differentiation from existing solutions
-
For each prioritized idea, provide:
- A clear name and one-sentence description
- Why it was selected (reasoning)
- Key assumptions to validate
Think step by step. Present ideas in a clear, structured format.
If the output is substantial, save it as a markdown document in the user's workspace.
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 · 55 lines · 51 tokens per session scan A cf950494541b
brainstorm-ideas-existing is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 14d ago), licensed MIT. It adds 51 tokens to every session and 611 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 brainstorm-ideas-existing, differing in 0 lines, and is treated as a copy.
brainstorm-ideas-existing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| brainstorm-ideas-existingyuusakuri/agent-skills | Skill | 2 | 14d ago | MIT | A | 51 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |