Screening Manager

Community

WILLOSCAR

screening-manager

Use when an approved `evidence-review` protocol needs to be applied to a candidate pool.

Overview

Publisher	WILLOSCAR
Repository	`research-units-pipeline-skills`
Skill name	`screening-manager`
Stars	513
Forks	39
Bundled files	1
Links	Skill source Repository

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.
1 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 Screening Manager AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/screening-manager .claude/skills/screening-manager

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Screening Manager 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 Screening Manager 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 Screening Manager 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.

Screening Manager

Triggers & routing

Trigger: screening, title/abstract screening, inclusion/exclusion, screening_log.csv, 文献筛选, 纳入排除.
Use when: evidence-review 的 screening 阶段（C2/C3），protocol 已锁定并通过 HUMAN 审批。
Skip if: 还没有 output/PROTOCOL.md（或 protocol 未通过签字）。
Network: none.
Guardrail: 每条记录包含决策与理由；保持可审计（不要把“未读/不确定”当作纳入）。

Transforms an approved protocol plus candidate pool into an auditable screening log.

Inputs

Required:

output/PROTOCOL.md

Candidate pool:

papers/papers_raw.jsonl
papers/papers_dedup.jsonl
or papers/core_set.csv

Output

papers/screening_log.csv

Contract

Each row must include at least:

paper_id
title
year
url
decision
reason
reason_codes
reviewer
decided_at

Script boundary

scripts/run.py should:

parse protocol clauses
choose the current candidate pool
emit one deterministic row per candidate

It should not invent new protocol rules.

Acceptance

output exists
every candidate has one row
every row has decision plus protocol-grounded reason code

Non-goals

full-text extraction
synthesis writing

Bundled files

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

scripts/run.py4 KB

Frequently asked questions

What does the Screening Manager AI skill do?

Use when an approved `evidence-review` protocol needs to be applied to a candidate pool.

Why use Screening Manager on TypingMind?

Because you install it once and use it with any model. Screening Manager 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 Screening Manager in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager. 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 Screening Manager?

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 Screening Manager?

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

Is the Screening Manager 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Screening Manager

Triggers & routing

Inputs

Output

Contract

Script boundary

Acceptance

Non-goals

Bundled files

Frequently asked questions

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