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Novelty Assessment

lingzhi227/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.

2k tokens
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the whole folder, loaded on every use
2
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instructions only
0
copies elsewhere
how many repositories repackaged it
256
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/lingzhi227/agent-research-skills --skill novelty-assessment

The instruction itself

15 sections, as written by the author

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
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
  • Upstream: literature-search, deep-research
  • Downstream: idea-generation, research-planning
  • See also: related-work-writing

How to use it

Copy the folder

Take lingzhi227/novelty-assessment from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.