Target Novelty Scorer

Score the novelty of biological targets through literature mining and.

This skill is functionally inconsistent: its documentation promises real PubMed/PMC retrieval and lists NCBI/API dependencies, but the included script simulates results locally and doesn't use network calls or credentials. Before installing or using it: (1) Do not provide API keys to this skill — the registry metadata does not require them and the code doesn't use them. (2) Inspect scripts/main.py fully and run python -m py_compile scripts/main.py in a safe environment to confirm behavior. (3) If you need real literature mining, ask the author or maintainer to: implement actual PubMed/E-utilities calls (or clarify it's intentionally a demo), update requirements.txt, and declare any required environment variables explicitly. (4) Treat outputs as synthetic/demo data until the code is confirmed to perform real retrieval; do not use this for sensitive research decisions without verification.

Type: OpenClaw Skill Name: target-novelty-scorer-1 Version: 1.0.0 The skill bundle is a legitimate, albeit early-stage, tool for scoring biological target novelty. The primary script, `scripts/main.py`, currently uses a simulated implementation for literature searching via `numpy.random` and contains no evidence of malicious execution, data exfiltration, or unauthorized network activity. While `SKILL.md` mentions dependencies like `biopython` and `requests` that are missing from `requirements.txt`, this appears to be a development oversight rather than a security risk.