Variant Pathogenicity Predictor

Integrate REVEL, CADD, PolyPhen scores to predict variant pathogenicity

This skill appears to be a draft with mismatched documentation and implementation. The code itself is simple and low-risk (no network, no credentials), but SKILL.md promises VCF parsing, gene context, and integration of additional predictors that are not implemented. Before installing or trusting results: (1) do not use this for clinical decisions — tests and validation are missing; (2) ask the author for the intended implementation or an updated release that actually parses VCFs and documents dependencies; (3) insist on input validation and path sanitization if file I/O is added; (4) inspect and test any future code that adds network calls or external data sources. Given the inconsistencies, treat this as incomplete/deceptive rather than malicious, but avoid relying on it until it is corrected and properly audited.

Type: OpenClaw Skill Name: variant-pathogenicity-predictor Version: 0.1.0 The skill is a straightforward bioinformatics tool designed to calculate variant pathogenicity scores based on user-provided numeric inputs. The Python script (scripts/main.py) contains only basic arithmetic logic and lacks any high-risk capabilities such as network access, file system manipulation, or shell execution. No evidence of malicious intent, data exfiltration, or prompt injection was found.