smithery/willoscar

dedupe-rank

Use when a broad paper candidate pool needs deterministic deduplication and a stable core set.

Installation

$ npx skills add smithery/willoscar --skill dedupe-rank

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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 1,895 B
  • docs SUMMARY.md 559 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Dedupe + Rank

Triggers & routing

  • Trigger: dedupe, rank, core set, 去重, 排序, 精选论文, 核心集合.
  • Use when: 检索后需要把广覆盖集合收敛成可管理的 core set(用于 taxonomy/outline/mapping)。
  • Skip if: 已经有人手工整理了稳定的 papers/core_set.csv(无需再次 churn)。
  • Network: none.
  • Guardrail: 偏 deterministic;输出应可重复(稳定 paper_id、字段规范)。

Turns a raw candidate pool into a deduped pool and a stable core set.

Input

  • papers/papers_raw.jsonl

Outputs

  • papers/papers_dedup.jsonl
  • papers/core_set.csv

Script boundary

scripts/run.py should own only:

  • title/year deduplication
  • deterministic ranking
  • stable paper_id generation

Use shared domain packs or pipeline contract metadata for topic-specific or product-specific behavior.

Contract-driven behavior

The script should prefer pipeline contract metadata over profile-name branching.

Current important field:

  • qualitycontract.candidatepoolpolicy.keepfulldedupedpool
  • qualitycontract.candidatepoolpolicy.includedomain_pins
  • qualitycontract.candidatepoolpolicy.minimumdomain_surveys
  • qualitycontract.candidatepoolpolicy.surveytitle_bonus

If true, the script keeps the full deduped pool in papers/core_set.csv unless the user explicitly overrides core size. Focused briefing Workflows can disable unconditional domain pins, reserve a smaller survey floor, and remove the generic survey-title bonus without changing broad Survey defaults.

Acceptance

  • deduped JSONL exists
  • core-set CSV exists
  • reruns are stable for the same inputs

Non-goals

  • retrieval
  • screening
  • manual topic authoring inside the script