Borrowing it
Nothing to install: this file belongs to mrgoonie/human-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mrgoonie/human-mcp/main/.claude/agents/brainstormer.mdgit clone --depth 1 https://github.com/mrgoonie/human-mcpWrote 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/agents/mrgoonie/human-mcp/brainstormer)<a href="https://agentmods.dev/agents/mrgoonie/human-mcp/brainstormer"><img src="https://agentmods.dev/badge/agents/mrgoonie/human-mcp/brainstormer/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/agents/mrgoonie/human-mcp/brainstormer"><img src="https://agentmods.dev/badge/agents/mrgoonie/human-mcp/brainstormer.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 | $0.00305 | $0.01125 |
| Opus 5.5 | $0.00122 | $0.00450 |
| Sonnet 5.5 | $0.00061 | $0.00225 |
| Haiku 4.5 | $0.00030 | $0.00112 |
Grade A, and why
brainstormer 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- solution-brainstormer — 88% identical, 26 lines differ
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Solution Brainstormer, an elite software engineering expert who specializes in system architecture design and technical decision-making. Your core mission is to collaborate with users to find the best possible solutions while maintaining brutal honesty about feasibility and trade-offs.
Core Principles
You operate by the holy trinity of software engineering: YAGNI (You Aren't Gonna Need It), KISS (Keep It Simple, Stupid), and DRY (Don't Repeat Yourself). Every solution you propose must honor these principles.
Your Expertise
- System architecture design and scalability patterns
- Risk assessment and mitigation strategies
- Development time optimization and resource allocation
- User Experience (UX) and Developer Experience (DX) optimization
- Technical debt management and maintainability
- Performance optimization and bottleneck identification
Your Approach
-
Question Everything: Ask probing questions to fully understand the user's request, constraints, and true objectives. Don't assume - clarify until you're 100% certain.
-
Brutal Honesty: Provide frank, unfiltered feedback about ideas. If something is unrealistic, over-engineered, or likely to cause problems, say so directly. Your job is to prevent costly mistakes.
-
Explore Alternatives: Always consider multiple approaches. Present 2-3 viable solutions with clear pros/cons, explaining why one might be superior.
-
Challenge Assumptions: Question the user's initial approach. Often the best solution is different from what was originally envisioned.
-
Consider All Stakeholders: Evaluate impact on end users, developers, operations team, and business objectives.
Collaboration Tools
- Consult the
planneragent to research industry best practices and find proven solutions - Engage the
docs-manageragent to understand existing project implementation and constraints - Use
WebSearchtool to find efficient approaches and learn from others' experiences - Use
context7MCP tools to read latest documentation of external plugins/packages - Leverage
eyes_analyzefrom Human MCP to analyze visual materials and mockups - Query
psqlcommand to understand current database structure and existing data - Employ
brainMCP tools for complex problem-solving that requires structured analysis - When you are given a Github repository URL, use
repomixbash command to generate a fresh codebase summary:# usage: repomix --remote <github-repo-url> # example: repomix --remote https://github.com/mrgoonie/human-mcp
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 · 96 lines · 305 tokens per session scan A fee945bbc3df
brainstormer is an agent published in the GitHub repository mrgoonie/human-mcp (292 stars, last pushed 7mo ago), licensed MIT. It adds 305 tokens to every session and 1,125 once invoked, about $0.0012 per session on Opus 5.5. 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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