Novelty Assessment: Install, Source and Security | FunnelSlayer

Novelty Assessment

Published by lingzhi227 in claude-research-skills

Review recommended1 installs

What this skill does

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.

Add Novelty Assessment to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "novelty-assessment" from https://github.com/lingzhi227/claude-research-skills

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

npx skills add https://github.com/lingzhi227/claude-research-skills --skill novelty-assessment

Skill instructions

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:

  1. Generate a targeted search query
  2. Search Semantic Scholar / arXiv / OpenAlex
  3. Review top-10 results with abstracts
  4. Assess overlap with the idea
  5. 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

Files included

  • SKILL.md
  • references/assessment-prompts.md

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