Screening Manager Agent Skill

by WILLOSCAR

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

1k tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

496

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill screening-manager

What comes with it

3 760 bytes besides the instruction

scripts/run.py

The instruction itself

7 sections, as written by the author

Screening Manager

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

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How to use it

Copy the folder

Take willoscar/screening-manager from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.