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Dedupe Rank

Community
WILLOSCAR
dedupe-rank

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

Overview

PublisherWILLOSCAR
Repositoryresearch-units-pipeline-skills
Skill namededupe-rank
Stars
513
Forks
39
Bundled files
4
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by WILLOSCAR on GitHub. Read the source before you install it.

Installation

Install the Dedupe Rank AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rank
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git /tmp/research-units-pipeline-skills
mkdir -p .claude/skills
cp -r /tmp/research-units-pipeline-skills/.codex/skills/dedupe-rank .claude/skills/dedupe-rank
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dedupe Rank in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dedupe Rank on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dedupe Rank is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

  • quality_contract.candidate_pool_policy.keep_full_deduped_pool
  • quality_contract.candidate_pool_policy.include_domain_pins
  • quality_contract.candidate_pool_policy.minimum_domain_surveys
  • quality_contract.candidate_pool_policy.survey_title_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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dedupe Rank AI skill do?

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

Why use Dedupe Rank on TypingMind?

Because you install it once and use it with any model. Dedupe Rank is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dedupe Rank in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rank. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dedupe Rank?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dedupe Rank?

As many as you like. As long as a model supports skills, you can use Dedupe Rank with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dedupe Rank AI skill free?

It is published on GitHub by WILLOSCAR. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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