---
name: bio-innovation-check-7544360fdd04
description: "**Step 1: Innovation assessment (\u521b\u65b0\u6027\u68c0\u6d4b)**"
---

# bio-innovation-check

**Step 1: Innovation assessment (创新性检测)**

Estimate whether a research idea is sufficiently novel for a strong methods-style paper by expanding the topic and searching the literature.

## Purpose

1. Generate multiple topic variants and synonyms
2. Search PubMed, bioRxiv, and arXiv q-bio
3. Count and de-duplicate related papers
4. Assign a novelty level
5. Suggest how to sharpen or reposition the idea if needed

## Input Format

```text
topic: [research topic]
```

## Workflow

### Step 1.1: Topic expansion

Use several types of expansions:

1. Core term substitution
2. Phrase re-ordering
3. Parent / child concept expansion
4. Adjacent-domain vocabulary borrowing
5. Method keyword enrichment

Example:

- "spatial multi-omics integration"
- "integration of spatial transcriptomics and proteomics"
- "spatial multi-modal data fusion"

Target output: 15-20 topic variants by default.

### Step 1.2: Literature search

Search these sources:

- PubMed
- bioRxiv
- arXiv q-bio

Suggested pattern:

```python
for variant in topic_variants:
    results = search(variant, platforms=["PubMed", "bioRxiv", "arXiv"])
    all_papers.extend(results)

unique_papers = deduplicate(all_papers, threshold=0.8)
```

### Step 1.3: Novelty scoring

Use a simple first-pass threshold:

```python
if paper_count <= 2:
    level = "strong novelty / methods-journal candidate"
elif paper_count <= 5:
    level = "promising but needs sharpening"
else:
    level = "needs repositioning"
```

This is only a heuristic. Final judgment should still use human reasoning.

### Step 1.4: Repositioning suggestions

If the project is not yet strong enough, suggest improvements from one or more of these angles:

1. Method angle
2. Task angle
3. Data / validation angle
4. Analysis angle

## Output Format

```markdown
# Innovation Assessment Report

## Search Strategy
- Number of variants:
- Search sources:
- Search date:

## Topic Variants
| No. | Variant |
|-----|---------|
| 1 | ... |

## Search Results Summary
| Variant | PubMed | bioRxiv | arXiv | Total |
|---------|--------|---------|-------|-------|
| ... | ... | ... | ... | ... |

## De-duplicated Counts
- Total related studies:
- Published papers:
- Preprints:

## Novelty Decision
- Level:
- Reason:

## Representative Related Work
1. [title]
   - Source:
   - Year:
   - Main method:
   - Overlap with the proposed idea:

## Repositioning Suggestions
1. Method:
2. Task:
3. Data / validation:

## Next Step
- If novelty is strong: continue to Step 2
- If the idea needs sharpening: refine and continue
- If it needs repositioning: redesign before proceeding
```

## Usage

```bash
/bio-innovation-check "spatial multi-omics integration"
```

## Notes

1. Use timeouts because search latency varies by source.
2. De-duplication matters; otherwise novelty will be overestimated or underestimated.
3. Overlap scoring still needs human judgment.
4. Journal-specific novelty expectations can differ by field.


---
Source attribution: Runchuan-BU
Original project: https://github.com/Runchuan-BU/BioClaw
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Runchuan-BU
Original project: https://github.com/Runchuan-BU/BioClaw
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Education & Research, Product Management
Roles: Data Scientist, Product Manager, Researcher
Specialties: Specialty not specified
Tools: Arxiv, Biorxiv, Pubmed
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: f25f681b82a555cfcf2cc904b3742f6e1b118d33b1f6a3719739ded6f9922799