novelty-assessment
Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
How do I install this agent skill?
npx skills add https://github.com/lingzhi227/agent-research-skills --skill novelty-assessmentIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill is a specialized tool for academic research assessment. It safely uses local scripts to query reputable academic databases like Semantic Scholar and arXiv. While it is theoretically susceptible to indirect prompt injection from the content of research papers it processes, this is a standard risk for information retrieval tasks and does not pose a direct threat to the user or system integrity.
- Socketpass
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- Snykwarn
Risk: MEDIUM · No issues
- Runlayerpass
2 files scanned · No issues
What does this agent skill do?
Novelty Assessment
Rigorously assess whether a research idea is novel through systematic literature search.
Input
$0— Research idea description, title, or JSON file
Scripts
Automated novelty check
python ~/.claude/skills/idea-generation/scripts/novelty_check.py \
--idea "Your research idea description" \
--max-rounds 10 --output novelty_report.json
Literature search
python ~/.claude/skills/deep-research/scripts/search_semantic_scholar.py \
--query "relevant search query" --max-results 10
References
- Assessment prompts and criteria:
~/.claude/skills/novelty-assessment/references/assessment-prompts.md
Workflow
Step 1: Understand the Idea
- Identify the core contribution
- List the key technical components
- Determine the research area and subfield
Step 2: Multi-Round Literature Search (up to 10 rounds)
For each round:
- Generate a targeted search query
- Search Semantic Scholar / arXiv / OpenAlex
- Review top-10 results with abstracts
- Assess overlap with the idea
- Decide: need more searching, or ready to decide
Step 3: Make Decision
- Novel: After sufficient searching, no paper significantly overlaps
- Not Novel: Found a paper that significantly overlaps
Step 4: Position the Idea
If novel, identify:
- Most similar existing papers (for Related Work)
- How the idea differs from each
- The specific gap this idea fills
Harsh Critic Persona
Be a harsh critic for novelty. Ensure there is a sufficient contribution
for a new conference or workshop paper. A trivial extension of existing
work is NOT novel. The idea must offer a meaningfully different approach,
formulation, or insight.
Output Format
{
"decision": "novel" | "not_novel",
"confidence": "high" | "medium" | "low",
"justification": "After searching X rounds...",
"most_similar_papers": [
{"title": "...", "year": 2024, "overlap": "..."}
],
"differentiation": "Our idea differs because..."
}
Rules
- Minimum 3 search rounds before declaring novel
- Try to recall exact paper names for targeted queries
- A paper idea is NOT novel if it's a trivial extension
- Consider both methodology novelty AND application novelty
- Check for concurrent/recent arXiv submissions
Related Skills
- Upstream: literature-search, deep-research
- Downstream: idea-generation, research-planning
- See also: related-work-writing
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/lingzhi227/agent-research-skills/novelty-assessment">View novelty-assessment on skillZs</a>