runchuan-bu/bioclaw/bio-innovation-check
Trust tier 3
- community
Source check pending
Checking that the SKILL.md file is still in the repository.
Install
npx vskill@latest install runchuan-bu/bioclaw/bio-innovation-checkSKILL.md
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
- Generate multiple topic variants and synonyms
- Search PubMed, bioRxiv, and arXiv q-bio
- Count and de-duplicate related papers
- Assign a novelty level
- Suggest how to sharpen or reposition the idea if needed
Input Format
Workflow
Step 1.1: Topic expansion
Use several types of expansions:
- Core term substitution
- Phrase re-ordering
- Parent / child concept expansion
- Adjacent-domain vocabulary borrowing
- 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:
Step 1.3: Novelty scoring
Use a simple first-pass threshold:
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:
- Method angle
- Task angle
- Data / validation angle
- Analysis angle
Output Format
Usage
Notes
- Use timeouts because search latency varies by source.
- De-duplication matters; otherwise novelty will be overestimated or underestimated.
- Overlap scoring still needs human judgment.
- Journal-specific novelty expectations can differ by field.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingcontainer/skills/bio-innovation-check/SKILL.md
Popularity
- Repository stars
- 384
- Repository forks
- 48
- 7-day trend score
- 30
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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