Skill UI

Translate cybersecurity findings into defensible 0-100 A-F risk scores, FAIR-aligned dollar loss estimates, and board-ready summaries. Passive analysis only, with ownership-aware confidence caps and attack-path amplification. Ideal for scoring risk, quantifying exposure, estimating breach cost, or explaining risk grades.

Utilizes a structured Severity x Likelihood matrix to systematically assess and classify legal risks. This framework helps in-house legal teams evaluate contract exposure, assess potential deal risks, and determine appropriate mitigation actions (e.g., Accept, Mitigate, Escalate). It provides a quantifiable method for risk scoring and classification (Low, Medium, High, Critical).

This advanced tool maps an organization's complete internet footprint by tracing ownership directly from a legal entity (LEI), not just a single seed domain. It discovers owned domains, netblocks, ASNs, and subsidiaries, including 'dark' or unlinked IP space and M&A acquired assets. It provides auditable attribution scoring for robust intelligence gathering.

A comprehensive pattern for developing board-based puzzle games (e.g., Match-3, Sokoban, Logic Grids). This skill focuses on modeling the board state, move input validation, and the core rule resolution loop. It defines how cascades, scoring, and undo functionality must operate deterministically to ensure fair and bug-free gameplay, separating game logic from visual rendering.

Query the precomputed AlphaGenome Atlas or run the AlphaGenome model to score human GRCh38 SNVs and mouse variants, retrieving AVI impact scores, SHAP feature attributions, and RNA-seq, DNase, ATAC, ChIP, splicing, and contact-map track predictions for regulatory variant interpretation.