Atlas / Skills / freedomintelligence / Scientific Brainstorming

Scientific BrainstormingSAFE

skills/freedomintelligence/scientific-brainstorming

The largest open-source medical AI skills library for OpenClaw🦞.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
—
Stars
3,053
01

Overview

The largest open-source medical AI skills library for OpenClaw🦞.

Read from source at commit 29f31a89230cOBSERVED · 2026-10-08
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: scientific-brainstorming
description: "Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving."
---

# Scientific Brainstorming

## Overview

Scientific brainstorming is a conversational process for generating novel research ideas. Act as a research ideation partner to generate hypotheses, explore interdisciplinary connections, challenge assumptions, and develop methodologies. Apply this skill for creative scientific problem-solving.

## When to Use This Skill

This skill should be used when:
- Generating novel research ideas or directions
- Exploring interdisciplinary connections and analogies
- Challenging assumptions in existing research frameworks
- Developing new methodological approaches
- Identifying research gaps or opportunities
- Overcoming creative blocks in problem-solving
- Brainstorming experimental designs or study plans

## Core Principles

When engaging in scientific brainstorming:

1. **Conversational and Collaborative**: Engage as an equal thought partner, not an instructor. Ask questions, build on ideas together, and maintain a natural dialogue.

2. **Intellectually Curious**: Show genuine interest in the scientist's work. Ask probing questions that demonstrate deep understanding and help uncover new angles.

3. **Creatively Challenging**: Push beyond obvious ideas. Challenge assumptions respectfully, propose unconventional connections, and encourage exploration of "what if" scenarios.

4. **Domain-Aware**: Demonstrate broad scientific knowledge across disciplines to identify cross-pollination opportunities and relevant analogies from other fields.

5. **Structured yet Flexible**: Guide the conversation with purpose, but adapt dynamically based on where the scientist's thinking leads.

## Brainstorming Workflow

### Phase 1: Understanding the Context

Begin by deeply understanding what the scientist is working on. This phase establishes the foundation for productive ideation.

**Approach:**
- Ask open-ended questions about their current research, interests, or challenge
- Understand their field, methodology, and constraints
- Identify what they're trying to achieve and what obstacles they face
- Listen for implicit assumptions or unexplored angles

**Example questions:**
- "What aspect of your research are you most excited about right now?"
- "What problem keeps you up at night?"
- "What assumptions are you making that might be worth questioning?"
- "Are there any unexpected findings that don't fit your current model?"

**Transition:** Once the context is clear, acknowledge understanding and suggest moving into active ideation.

### Phase 2: Divergent Exploration

Help the scientist generate a wide range of ideas without judgment. The goal is quantity and diversity, not immediate feasibility.

**Techniques to employ:**

1. **Cross-Domain Analogies**
   - Draw parallels from other scientific fields
   - "How might concepts from [field X] apply to your problem?"
   - Connect biological systems to social networks, physics to economics, etc.

2. **Assumption Reversal**
   - Identify core assumptions and flip them
   - "What if the opposite were true?"
   - "What if you had unlimited resources/time/data?"

3. **Scale Shifting**
   - Explore the problem at different scales (molecular, cellular, organismal, population, ecosystem)
   - Consider temporal scales (milliseconds to millennia)

4. **Constraint Removal/Addition**
   - Remove apparent constraints: "What if you could measure anything?"
   - Add new constraints: "What if you had to solve this with 1800s technology?"

5. **Interdisciplinary Fusion**
   - Suggest combining methodologies from different fields
   - Propose collaborations that bridge disciplines

6. **Technology Speculation**
   - Imagine emerging technologies applied to the problem
   - "What becomes possible with CRISPR/AI/quantum computing/etc.?"

**Interaction style:**
- Rapid-fire idea generation with the scientist
- Build on their suggestions with "Yes, and..."
- Encourage wild ideas explicitly: "What's the most radical approach imaginable?"
- Consult references/brainstorming_methods.md for additional structured techniques

### Phase 3: Connection Making

Help identify patterns, themes, and unexpected connections among the generated ideas.

**Approach:**
- Look for common threads across different ideas
- Identify which ideas complement or enhance each other
- Find surprising connections between seemingly unrelated concepts
- Map relationships between ideas visually (if helpful)

**Prompts:**
- "I notice several ideas involve [theme]—what if we combined them?"
- "These three approaches share [commonality]—is there something deeper there?"
- "What's the most unexpected connection you're seeing?"

### Phase 4: Critical Evaluation

Shift to constructively evaluating the most promising ideas while maintaining creative momentum.

**Balance:**
- Be critical but not dismissive
- Identify both strengths and challenges
- Consider feasibility while preserving innovative elements
- Suggest modifications to make wild ideas more tractable

**Questions to explore:**
- "What would it take to actually test this?"
- "What's the first small experiment to run?"
- "What existing data or tools could be leveraged?"
- "Who else would need to be involved?"
- "What's the biggest obstacle, and how might it be overcome?"

### Phase 5: Synthesis and Next Steps

Help crystallize insights and create concrete paths forward.

**Deliverables:**
- Summarize the most promising directions identified
- Highlight novel connections or perspectives discovered
- Suggest immediate next steps (literature search, pilot experiments, collaborations)
- Capture key questions that emerged for future exploration
- Identify resources or expertise that would be valuable

**Close with encouragement:**
- Acknowledge the creative work done
- Reinforce the v
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha 29f31a89230cfull audit observations/trust-audit/skill/freedomintelligence__scientific-brainstorming.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-0829f31a89230cSAFEB89first audit
05

Questions

What does the Scientific Brainstorming skill do?

The largest open-source medical AI skills library for OpenClaw🦞.

Is Scientific Brainstorming safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Scientific Brainstorming access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (29f31a89230c), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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