Agent skill
novelty-matrix
Create a novelty/prior-work matrix comparing the submission’s contributions against related work (overlaps vs deltas). **Trigger**: novelty matrix, prior-work matrix, overlap/delta, 相关工作对比, 新颖性矩阵. **Use when**: peer review 中评估 novelty/positioning,需要把贡献与相关工作逐项对齐并写出差异点证据。 **Skip if**: 缺少 claims(先跑 `claims-extractor`)或你不打算做新颖性定位分析。 **Network**: none (retrieval of additional related work is out-of-scope unless provided). **Guardrail**: 明确 overlap 与 delta;尽量给出可追溯证据来源(来自稿件/引用/作者陈述)。
Stars
377
Forks
25
Install this agent skill to your Project
npx add-skill https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/novelty-matrix
SKILL.md
Novelty Matrix (overlap vs delta)
Goal: make novelty/positioning concrete by aligning each contribution against the closest prior work.
Inputs
Required:
output/CLAIMS.md
Optional:
- A provided list of related work (titles/URLs/DOIs) or the submission’s reference list
Outputs
output/NOVELTY_MATRIX.md
Output format (recommended)
- Rows: contributions/claims (from
output/CLAIMS.md) - Columns: closest related works (provided or cited by the paper)
- For each row/column, record:
overlap: what is the samedelta: what is different/newevidence: where this is supported (paper statement / citation / method difference)
Workflow
- Extract the contribution list from
output/CLAIMS.md. - Pick ≥5 closest related works (or state explicitly why you cannot).
- For each contribution, compare to each related work:
- identify overlap
- identify delta
- attach evidence (quote/section/citation pointer)
- Summarize:
- which contributions look clearly novel
- which ones look like incremental variants
Definition of Done
- Matrix includes ≥5 related works or explains why unavailable.
- Every “delta” entry has a short evidence pointer (not just opinion).
Troubleshooting
Issue: no related works list is available
Fix:
- Use the paper’s own citations as the initial related set; if even that is missing, mark
needs_related_work_listand stop.
Issue: overlap/delta becomes vague
Fix:
- Force each cell to reference a concrete axis (problem setting, method component, training data, evaluation protocol, result).
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