Systematic Review Screener

Automated abstract screening tool for systematic literature reviews with PRISMA workflow support.

This skill appears coherent and self-contained for screening abstracts, but treat it like any third-party code: 1) Inspect scripts/main.py fully before running (it’s included) and run python -m py_compile scripts/main.py as suggested to detect syntax errors. 2) Execute first on a small sample dataset in an isolated environment (VM or container) to verify behavior and outputs. 3) The requirements include PyYAML (install from a trusted source); dataclasses is built into modern Python and is likely unnecessary. 4) Do not feed sensitive/private data (PHI) until you have validated that outputs are correct and no unexpected logging/telemetry occurs. 5) Expect there may be minor bugs (I noticed an apparent variable typo in the CSV parser in the provided truncated code); be prepared to patch or contact the author. If you want, I can (a) run a more detailed static review of the full main.py for logic errors, or (b) suggest minimal fixes for the CSV parsing/runtime issues.

Type: OpenClaw Skill Name: systematic-review-screener Version: 1.0.0 The systematic-review-screener bundle is a legitimate tool for processing academic abstracts. The core logic in scripts/main.py uses standard libraries to parse CSV, XML, and MEDLINE formats and implements a keyword-based matching engine for screening. It follows security best practices by using yaml.safe_load for configuration and pathlib for file handling, with no evidence of network activity, shell execution, or data exfiltration.