sr-screener
Helps your agent screen studies for systematic reviews. It defines eligibility rules and blindly evaluates titles and full texts.
What it does
This agent helps select scientific articles for study reviews. It uses a protocol to define clear rules and then evaluates article titles and abstracts, like two independent reviewers, to decide if they are relevant.
When to use it
- ✓When starting a systematic literature review.
- ✓When you need to filter many scientific articles quickly.
- ✓To ensure article selection is done fairly and consistently.
Example of what to ask your AI
“I want to select articles for my review on the effects of caffeine on memory. The protocol is in this document.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The agent reads the protocol you provide to understand the inclusion and exclusion rules. Then, it 'reads' the article titles and abstracts and applies these rules, simulating two reviewers to ensure accuracy.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add Imbad0202/academic-research-skills --skill sr-screenerOr download just the file:
curl -L https://raw.githubusercontent.com/Imbad0202/academic-research-skills/main/skills/sr-screener/SKILL.md -o SKILL.mdFAQ
What is a 'protocol' in this context?
It's a detailed plan that describes exactly what types of studies should be included or excluded from your review.
What does 'two blinded reviewers' mean?
It means the agent evaluates each article twice, independently, without knowing the outcome of the other evaluation, to avoid bias.
What are 'ordered exclusion codes'?
These are specific and organized reasons for excluding an article, making the process more transparent and easy to understand.
Details
Original description by the author
Protocol-driven study screening for systematic, scoping and rapid reviews. Turns a proposal or PROSPERO protocol into confirmed eligibility rules, then screens titles/abstracts and full texts with two blinded AI reviewers and a third-reviewer adjudicator: ordered exclusion codes, no silent defaults, resumable batch runs, QC (seed studies, near-miss rechecks, kappa and PABAK), PRISMA 2020 counts, E
Popularity
- GitHub stars
- 52k
- Ranking position
- #1826
- License
- NOASSERTION
- Updated
- 10/13/2026
Comments
- …
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