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 ArieGoldkin/ai-agent-hub --skill brainstorminggit clone --depth 1 https://github.com/ArieGoldkin/ai-agent-hubWrote 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/ariegoldkin/ai-agent-hub/brainstorming)<a href="https://agentmods.dev/skills/ariegoldkin/ai-agent-hub/brainstorming"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/brainstorming/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/ariegoldkin/ai-agent-hub/brainstorming"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/brainstorming.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 | $0.00040 | $0.01237 |
| Opus 5 | $0.00020 | $0.00619 |
| Sonnet 5 | $0.00008 | $0.00247 |
| Haiku 4.5 | $0.00004 | $0.00124 |
Grade A, and why
brainstorming 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 9d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming Ideas Into Designs
Overview
Transform rough ideas into fully-formed designs through structured questioning and alternative exploration.
Core principle: Ask questions to understand, explore alternatives, present design incrementally for validation.
Announce skill usage at start of session.
When to Use This Skill
Activate this skill when:
- Request contains "I have an idea for..." or "I want to build..."
- User asks "help me design..." or "what's the best approach for..."
- Requirements are vague or high-level
- Multiple approaches might work
- Before writing any code or implementation plans
The Three-Phase Process
| Phase | Key Activities | Tool Usage | Output |
|---|---|---|---|
| 1. Understanding | Ask questions (one at a time) | AskUserQuestion for choices | Purpose, constraints, criteria |
| 2. Exploration | Propose 2-3 approaches | AskUserQuestion for approach selection | Architecture options with trade-offs |
| 3. Design Presentation | Present in 200-300 word sections | Open-ended questions | Complete design with validation |
Phase 1: Understanding
Goal: Gather purpose, constraints, and success criteria.
Process:
- Check current project state in working directory
- Ask ONE question at a time to refine the idea
- Use AskUserQuestion tool when presenting multiple choice options
- Gather: Purpose, constraints, success criteria
Tool Usage: Use AskUserQuestion for clarifying questions with 2-4 clear options.
Example: "Where should the authentication data be stored?" with options for Session storage, Local storage, Cookies, each with trade-off descriptions.
See references/example-session-auth.md for complete Phase 1 example.
Phase 2: Exploration
Goal: Propose 2-3 different architectural approaches with explicit trade-offs.
Process:
- Propose 2-3 different approaches
- For each: Core architecture, trade-offs, complexity assessment
- Use AskUserQuestion tool to present approaches as structured choices
- Include trade-off comparison table when helpful
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.
- 9d ago First seen · 157 lines · 40 tokens per session scan A 40e9b9785ce3
brainstorming is a skill published in the GitHub repository ArieGoldkin/ai-agent-hub (11 stars, last pushed 9mo ago), licensed MIT. It adds 40 tokens to every session and 1,237 once invoked, about $0.0002 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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