Skill UI

Provides pure-function CDSS modules for EMR integration, covering drug interaction checks, dose validation, NEWS2 scoring, and alert classification to keep patient-safety-critical workflows testable and reliable.

Guidelines for EMR/EHR systems that prioritize patient safety, clinical flows, medication oversight, CDSS integration, accessibility, and audit-ready encounters for healthcare apps.

Automated harness for healthcare deployments that runs Jest suites across CDSS logic, PHI exposure, data integrity, clinical workflow, and integration gates, aborting releases on any critical failure to keep patient safety non-negotiable.

This skill is designed for performing local, on-premise evaluations and benchmarking of models hosted on the Hugging Face Hub. It facilitates running specialized evaluation frameworks like `inspect-ai` and `lighteval` against local hardware. Users can select optimal inference backends, including `vllm` for high throughput, or fall back to Hugging Face Transformers or `accelerate`, ensuring comprehensive smoke testing and task selection for LLMs. It focuses purely on the local execution process, separate from remote jobs or publishing workflows.

A comprehensive tool and API wrapper for accessing, parsing, and analyzing research papers published on Hugging Face and arXiv. Users can input various URLs or IDs (e.g., arXiv ID) to retrieve structured metadata, full markdown content, and automatically link associated resources such as models, datasets, and application spaces. Ideal for researchers and developers needing structured access to cutting-edge AI knowledge.

Fine-tune or train object detection, classification, and SAM/SAM2 segmentation models on Hugging Face Jobs, leveraging managed GPUs, automatic dataset checks, and Hub persistence without local GPU setup.

`jq` is the standard and powerful CLI tool for querying, filtering, and reshaping JSON data. This skill provides expert-level practical patterns for working with deeply nested structures, handling complex transformations (like flattening, renaming, and grouping), and integrating JSON logic into shell pipelines. Essential for parsing API outputs (AWS, GitHub), log files, and building robust Bash scripts.

Detects anomalous Modbus TCP behavior on SCADA/ICS networks by combining packet inspection (pymodbus, Scapy, Zeek) with statistical and rule-based detection to flag reconnaissance, unauthorized writes, and DoS attempts targeting PLCs.

Uses AWS Athena to define forensic tables and run queries against CloudTrail, VPC Flow, S3 access, and ALB logs, helping security teams detect unauthorized access, data exfiltration, lateral movement, and privilege escalation during incident investigations.

This advanced workflow is designed to systematically prepare and maintain highly grounded, venue-compliant rebuttals for academic conference submissions. It processes external reviews, atomizes complex reviewer concerns into an Issue Board, and helps build a structured strategy plan. The skill enforces strict safety gates (Provenance, Commitment, Coverage) to ensure every statement is factual, approved, and addresses every issue raised by reviewers, making it ideal for the post-submission response phase.

This tool evaluates whether raw experimental results support predefined scientific claims or hypotheses. It collects data from multiple sources (W&B, logs, etc.) and uses an objective AI judgment (Codex) to determine the degree of support: fully supported, partially supported, or unsupported. It systematically identifies evidence gaps and suggests next steps, guiding the research workflow before drafting papers or making definitive conclusions.

This tool meticulously measures whether AI coding agents adhere to predefined skills, rules, or architectural guidelines. It automatically generates expected behavioral sequences and runs scenarios with varying prompt strictness. It deeply analyzes tool call traces, classifies behaviors using LLMs, and generates detailed compliance reports, ensuring robust quality control and adherence to defined workflows.