smithery/willoscar

novelty-matrix

Use when `paper-review` needs overlap/delta positioning against provided related work.

Installation

$ npx skills add smithery/willoscar --skill novelty-matrix

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,532 B
  • docs SUMMARY.md 682 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Novelty Matrix

Triggers & routing

  • Trigger: novelty matrix, prior-work matrix, overlap/delta, 相关工作对比, 新颖性矩阵.
  • Use when: paper-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。

Transforms a claim ledger plus related-work surface into a novelty positioning table for paper-review.

Input

Required:

  • output/CLAIMS.md

Optional:

  • manuscript reference list
  • user-provided related work list

Output

  • output/NOVELTY_MATRIX.md
  • output/NOVELTY_MATRIX.tsv (review-novelty-row.v1)

Contract

Each matrix row must expose:

  • claim
  • closest related work
  • overlap
  • delta
  • evidence note

Script boundary

scripts/run.py should:

  • extract candidate related works from available sources
  • generate stable overlap/delta rows
  • write a table-shaped artifact

Keep matching heuristics and markdown rendering in shared tooling.

Acceptance

  • output exists
  • includes at least one row per claim
  • includes at least three unique related works across the matrix
  • if fewer than three related works are available, preserve that limitation in the artifact and block Completion so the user can provide a reference surface
  • TSV rows preserve claim_id, overlap, delta, and evidence as separate fields

Non-goals

  • final novelty judgment prose
  • retrieval of a new literature corpus