Abstract Trimmer

This skill appears to do what it claims: a small local Python script that trims abstracts. Before installing/using: - Review the source (scripts/main.py) yourself if you will process sensitive or unpublished abstracts — the script will open any file path you provide and write output to the path you specify. It does not enforce sandboxing or extra path sanitization. - SKILL.md contains a minor contradiction: it shows pip install -r requirements.txt but no requirements.txt is included and the script uses only the Python standard library. Confirm there are no hidden dependencies before running pip commands. - The trimming is regex- and heuristic-based. Test thoroughly: automated removals can accidentally drop nuance or important phrasing (especially in Methods/Results). Always perform a human review of any trimmed abstract before submission. - If you need stronger guarantees (no network I/O, stronger path validation, or stricter preservation of numeric/statistical content), run the script in an isolated environment (VM/container) and inspect or modify the code to add explicit validations/logging. Overall risk is low and coherent with the stated purpose, but verify the few documentation claims and run human validation on outputs.