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 agentmods add skills/omnigentx/jarvis/brainstormingnpx skills add omnigentx/jarvis --skill brainstorminggit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/omnigentx/jarvis/brainstorming)<a href="https://agentmods.dev/skills/omnigentx/jarvis/brainstorming"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/brainstorming.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00401 |
| Opus 5 | $0.00014 | $0.00200 |
| Sonnet 5 | $0.00005 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
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 5d 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.
What it actually says
Brainstorming Ideas Into Designs
Inspired by obra/superpowers.
Turn rough ideas into fully-formed designs through structured exploration.
Core rule: Do NOT implement anything until the design is agreed upon.
Process
1. Understand Context
- Review current project state (files, docs, existing code)
- Assess scope — is this one task or multiple sub-projects?
- If too large, decompose into smaller pieces first
2. Ask Clarifying Questions
- One question at a time
- Prefer multiple-choice when possible
- Focus on: purpose, constraints, success criteria
3. Explore Approaches
- Propose 2-3 different approaches with trade-offs
- Lead with your recommendation and explain why
- Be honest about complexity vs. simplicity
4. Present Design
- Architecture overview
- Components and their responsibilities
- Data flow
- Error handling strategy
- Testing approach
5. Get Agreement
- Present each section, confirm before moving on
- Be ready to revise based on feedback
- Document the final design
Key Principles
- YAGNI ruthlessly — Remove features that aren't needed yet
- Explore alternatives — Always propose 2-3 approaches
- Incremental validation — Confirm each section
- Design for isolation — Each component should have one clear purpose
- Smaller units — Easier to understand, test, and modify
In Multi-Agent Context
When brainstorming in a meeting:
- Use
speak()to propose ideas and ask questions - Wait for other agents' input before finalizing
- Summarize the agreed design before moving to implementation
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.
- 5d ago First seen · 57 lines · 27 tokens per session scan A be721ad2b8e5
brainstorming is a skill published in the GitHub repository omnigentx/jarvis (36 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 401 once invoked, about $0.0001 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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