Translational Gap Analyzer

Assess translational gaps between preclinical models and human diseases.

This skill appears coherent and self-contained, but before installing or running it: 1) open scripts/main.py and scan the code for any unexpected network calls, filesystem writes, or subprocess executions (the included portion appears local-only); 2) run python -m py_compile scripts/main.py and python scripts/main.py --help in a sandbox or isolated environment first; 3) note that the source is 'unknown' (no homepage) — if provenance matters for your environment, ask the publisher for a canonical repository or additional review; 4) the requirements.txt lists built-in packages (dataclasses, enum) which is harmless but unnecessary for modern Python — ensure your runtime Python version matches the documented requirement (3.8+). If you want higher assurance, request the full untruncated main.py for review to confirm there are no hidden network or credential operations.

Type: OpenClaw Skill Name: translational-gap-analyzer Version: 1.0.0 The translational-gap-analyzer skill is a purely analytical tool designed to assess differences between preclinical models and human diseases using a hardcoded knowledge base. The Python script (scripts/main.py) performs data lookups and scoring without any network access, external command execution (eval/exec), or suspicious file system operations. All logic is transparent, well-documented in SKILL.md, and lacks any indicators of malicious intent or data exfiltration.