ml-model-eval-benchmark

Build repeatable data-to-Docs pipelines from Sheets and Drive sources.

Create and evolve production-ready skills with reusable scripts, references, and validation.

Prioritize vulnerability remediation using KEV-style exploitation context plus asset criticality.

Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs.

Map application security findings to OWASP Top 10 categories and generate remediation checklists.

Plan and orchestrate authorized Nmap host discovery, port and service enumeration, NSE profiling, and reporting artifacts for in-scope targets.

Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts.

Scaffold MCP server projects and baseline tool contract checks.

Build incident response timelines and report packs from event logs.

Generate reusable multi-step agent workflow blueprints.

Design Gmail, Drive, Sheets, and Calendar automations with scope-aware plans.

Test Docker and Kubernetes security controls for RBAC abuse, breakout, and secret exposure.