Install Novelty Assessment
Pick your agent. Every command is ready to paste.
npx skills add lingzhi227/agent-research-skills --skill novelty-assessmentThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads novelty-assessment when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the novelty-assessment skill”. In Codex, type $novelty-assessment.
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
Tips for Novelty Assessment
- • Start a fresh session after installing so your agent picks up the new skill.
- • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
- • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Novelty Assessment
What does the Novelty Assessment skill do?
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 Novelty Assessment?
Run "npx skills add lingzhi227/agent-research-skills --skill novelty-assessment" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Novelty Assessment work in Cursor and Codex?
Yes. Novelty Assessment uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Novelty Assessment free?
Novelty Assessment is open source on GitHub. It is free to install; check the license before commercial use.
Who made Novelty Assessment?
Novelty Assessment is published by lingzhi227 in the lingzhi227/agent-research-skills repository, together with 29 other skills.
