systematic-review-screenerAutomated abstract screening tool for systematic literature reviews with PRISMA workflow support.
Install via ClawdBot CLI:
clawdbot install aipoch-ai/systematic-review-screenerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
A research team at a university conducts a systematic review on the efficacy of cognitive behavioral therapy for anxiety disorders. They use the skill to screen over 2,000 abstracts from PubMed and EndNote, applying inclusion/exclusion criteria and generating a PRISMA flow diagram for publication.
A healthcare organization developing evidence-based guidelines for hypertension management uses the tool to screen literature from multiple databases. The skill flags conflicts for manual review, ensuring high confidence in included studies for guideline recommendations.
A pharmaceutical company monitors adverse drug events by screening new publications against predefined criteria. The batch processing feature handles weekly updates from MEDLINE, and the confidence scoring helps prioritize which abstracts require immediate attention.
A government agency conducting a review on renewable energy policies uses the skill to screen thousands of abstracts from various sources. The PRISMA export provides audit-ready documentation for transparent policy decision-making.
Offer systematic screening as a managed service to academic labs or corporate R&D departments. Clients submit their references and criteria, and receive screened results with PRISMA reports. Revenue is generated per project or through monthly retainer for ongoing literature surveillance.
Develop a cloud-based platform integrating this skill with additional features like collaboration, API access, and advanced analytics. Charge users based on the number of abstracts screened or a tiered subscription model for teams and institutions.
License the skill to existing evidence-based medicine (EBM) software vendors (e.g., Covidence, Rayyan) as an add-on module. The skill enhances their screening capabilities with confidence scoring and PRISMA export. Revenue comes from licensing fees or revenue sharing.
💬 Integration Tip
To integrate, ensure Python 3.10+ is installed and run `pip install -r requirements.txt` to install dependencies (dataclasses, yaml). Place input files in the expected formats (CSV/TSV, PubMed, or EndNote XML) and configure the criteria YAML file before running `python scripts/main.py` with appropriate arguments.
Scored May 7, 2026
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