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 Bbeierle12/Skill-MCP-Claude --skill brainstorminggit clone --depth 1 https://github.com/Bbeierle12/Skill-MCP-ClaudeWrote 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/bbeierle12/skill-mcp-claude/brainstorming)<a href="https://agentmods.dev/skills/bbeierle12/skill-mcp-claude/brainstorming"><img src="https://agentmods.dev/badge/skills/bbeierle12/skill-mcp-claude/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/bbeierle12/skill-mcp-claude/brainstorming"><img src="https://agentmods.dev/badge/skills/bbeierle12/skill-mcp-claude/brainstorming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.00732 |
| Opus 5 | $0.00015 | $0.00366 |
| Sonnet 5 | $0.00006 | $0.00146 |
| Haiku 4.5 | $0.00003 | $0.00073 |
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 10d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming
Core Principle
Design before code. Always.
Don't jump into implementation. Tease out the spec through conversation first.
The Brainstorming Process
Step 1: Understand the Goal
Ask clarifying questions:
- What problem are we solving?
- Who is the user?
- What does success look like?
- What are the constraints?
One question at a time - Don't overwhelm with multiple questions.
Step 2: Explore the Space
- What are the possible approaches?
- What are the trade-offs?
- What similar problems exist?
- What patterns apply?
Step 3: Propose Alternatives
Always present 2-3 approaches before settling:
## Option A: [Name]
- Pros: ...
- Cons: ...
- Best when: ...
## Option B: [Name]
- Pros: ...
- Cons: ...
- Best when: ...
## Option C: [Name]
- Pros: ...
- Cons: ...
- Best when: ...
**Recommendation:** Option [X] because...
Step 4: Incremental Validation
Present design in digestible chunks:
- Show one section at a time
- Get sign-off before moving on
- Allow for course corrections
Step 5: Document the Design
Save to: docs/plans/YYYY-MM-DD-<topic>-design.md
YAGNI Ruthlessly
During brainstorming, actively remove:
- Features that "might be nice"
- Edge cases that "could happen"
- Abstractions for "future flexibility"
- Optimizations for "scale we might need"
Ask: "Do we need this for the MVP?"
Question Techniques
Multiple Choice Preferred
Instead of: "How should we handle errors?" Ask: "For error handling, should we: A) Return error codes, B) Throw exceptions, C) Use Result types?"
Constrained Questions
Instead of: "What should the API look like?" Ask: "Should this be REST, GraphQL, or RPC?"
Assumption Surfacing
- "I'm assuming X. Is that correct?"
- "This depends on Y. Is that available?"
- "The constraint seems to be Z. Agreed?"
Output: Design Document
# [Feature Name] Design
## Problem Statement
What problem are we solving?
## Goals
- Goal 1
- Goal 2
## Non-Goals
- Explicitly out of scope item 1
- Explicitly out of scope item 2
## Proposed Solution
Overview of the approach
## Alternatives Considered
Why we didn't choose other approaches
## Technical Design
### Component A
...
### Component B
...
## Open Questions
- Question 1
- Question 2
## Next Steps
1. Step 1
2. Step 2
What ships with it
1 file 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.
- 10d ago First seen · 140 lines · 29 tokens per session scan A a0d241e69aac
brainstorming is a skill published in the GitHub repository Bbeierle12/Skill-MCP-Claude (8 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 732 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 2026-08-31.
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