How to install novelty-assessment
npx skills add https://github.com/lingzhi227/agent-research-skills --skill novelty-assessmentFull instructions (SKILL.md)
Source of truth, from lingzhi227/agent-research-skills.
name: novelty-assessment description: 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. argument-hint: [idea]
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
Related skills
More from lingzhi227/agent-research-skills and the wider catalog.

paper-assembly
Orchestrate the full paper pipeline end-to-end. Manage state propagation between phases (literature → plan → code → experiments → figures → tables → writing → review), support checkpointing and resumption. Use for assembling a complete paper from components.

paper-compilation
Compile LaTeX papers to PDF with automatic error detection, chktex style checking, and citation/reference validation. Runs the full pdflatex + bibtex pipeline. Use when the user wants to compile a paper, fix compilation errors, or debug LaTeX.

paper-revision
Revise papers based on reviewer feedback. Map reviewer concerns to specific sections, apply targeted edits, run additional experiments if needed, and verify improvements. Use after receiving peer review with revision requests.

paper-to-code
Convert an ML research paper into a complete, runnable code repository. 3-stage pipeline from Paper2Code — Planning (UML + dependency graph) → Analysis (per-file logic) → Coding (dependency-ordered generation). Use for reproducing paper methods.

paper-writing-section
Write a specific section of an academic paper (Abstract, Introduction, Background, Related Work, Methods, Experiments, Results, Discussion/Conclusion) with section-specific guidance and two-pass refinement. Use when the user wants to write, draft, or improve a paper section.

rebuttal-writing
Write point-by-point rebuttals to reviewer comments. Extract concerns from reviews, generate evidence-based responses, and format as a structured rebuttal document. Use after receiving peer review feedback.