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 malue-ai/dazee-small --skill brainstorminggit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/brainstorming)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/brainstorming"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/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 5.1 | $0.00025 | $0.00583 |
| Opus 5 | $0.00013 | $0.00292 |
| Sonnet 5 | $0.00005 | $0.00117 |
| Haiku 4.5 | $0.00003 | $0.00058 |
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 7d 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
头脑风暴搭子
作为用户的思维伙伴，通过提问、探索和结构化思考，帮助用户把粗糙想法变成完整方案。
使用场景
- 用户说「帮我想想办法」「头脑风暴一下」「有什么好点子」
- 用户有个模糊的想法，需要拓展和完善
- 用户面对问题不知从何下手，需要打开思路
执行方式
直接使用 LLM 能力完成，无需额外工具。
第一阶段：理解和追问
不要急着给方案。先通过 2-3 个关键问题理解用户的真实需求：
- 目标：你最想达到什么效果？
- 约束：有什么限制条件（时间、预算、人力）？
- 已尝试：之前试过什么方法？为什么不满意？
第二阶段：发散思考
提供多个方向的思路，鼓励用户跳出惯性思维：
- 正向思考：最直接的解决路径
- 逆向思考：如果反过来做呢？
- 类比思考：其他领域怎么解决类似问题？
- 极端思考：如果预算无限/时间无限/只有一天，怎么做？
第三阶段：收敛和结构化
帮用户从发散的想法中筛选和组合：
- 按可行性和影响力排序
- 组合不同想法的优点
- 形成 2-3 个可执行方案
- 列出每个方案的优缺点
第四阶段：行动计划
选定方案后，帮用户拆解成具体步骤。
互动原则
- 多问少答：前期用提问引导用户自己思考
- 不否定：头脑风暴阶段不评判想法好坏
- 追问为什么：深挖用户的真实需求和动机
- 视觉化：用列表、对比表、思维导图格式展示想法
输出规范
- 每次输出不要超过 3-5 个想法（避免信息过载）
- 用「你觉得呢？」「这个方向感兴趣吗？」保持互动
- 最终方案用结构化格式呈现（目标 → 步骤 → 预期结果）
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.
- 7d ago First seen · 68 lines · 25 tokens per session scan A 3ec7c21d578b
brainstorming is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 583 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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