@0x-professor

docs-pipeline-automation provides a framework for building deterministic data-to-docs workflows using google workspace sources, with templated assembly and scheduled publishing as primary use cases.

dl-transformer-finetune generates reproducible fine-tuning plans for transformer models, outputting hyperparameter configs and model card skeletons for hugging face or pytorch workflows.

agentic-mcp-server-builder scaffolds mcp server projects from tool definitions, generating file layouts and baseline contract checks. covers schema definition and starter artifact generation with optional dry-run validation.

ml-experiment-tracker generates structured experiment plans with parameters, metrics, and artifact expectations for reproducible ml workflows. intended for pre-training standardization and tracking system integration.

nmap-pentest-scans structures authorized network reconnaissance by validating scope, selecting scan profiles (stealth/balanced/fast), and producing normalized findings. lacks actionable step-by-step execution detail and explicit failure recovery paths.

google-workspace-automation provides high-level planning for gmail, drive, sheets, and calendar workflows with declared oauth scopes, but lacks concrete procedures and failure-mode guidance.

Prioritize vulnerability remediation using KEV-style exploitation context plus asset criticality. Use for CVE triage, patch order decisions, and remediation...

Map application security findings to OWASP Top 10 categories and generate remediation checklists. Use for normalized AppSec review outputs and category-level...