Browse skills

Enforces ethical guidelines, prioritizes user safety, and promotes responsible AI behavior across all actions.

Mfds Drug Safety — provides AI agent assistance for software development workflows.

Retrieve chemical information, properties, and safety data directly from the PubChem database using compound names or identifiers.

Generates Rust code for backend systems, focusing on performance, memory safety, and concurrency using sickn33's expertise.

Automates critical software emergency releases, ensuring rapid deployment while adhering to pre-defined safety checks and approvals.

Analyzes ad creatives for policy violations, brand safety risks, and malicious content using advanced AI detection techniques.

Analyzes AI outputs for potential harms like bias, toxicity, or misinformation, flagging risks for review.

Helps with Azure, AI, Java as part of software development workflows workflows.

Analyzes CivitAI model descriptions & images to identify potential issues like bias, safety concerns, or inaccurate tagging.

Proactively identifies and mitigates worker safety risks using real-time data analysis and predictive modeling.

Retrieve chemical properties, structures, and safety data from the PubChem database using precise queries.

Checks if a lightning strike is imminent in your current location, providing crucial safety information for outdoor activities.

This tool automatically verifies if your code adheres to specified security policies and best practices, boosting development safety.

Ensures NASA TypeScript code adheres to strict type safety guidelines, preventing errors and improving reliability.

Ensures Python code using pv-udpv adheres to strict type safety for robust and reliable backend functionality.

Generates, analyzes, and refactors TypeScript code within existing projects, ensuring type safety and best practices.

Retrieve chemical properties, structures, and safety data from the PubChem database using natural language queries.

Enforcing Type Safety — provides AI agent assistance for software development workflows.

This Safety Checker verifies generated content for potentially harmful or inappropriate elements, ensuring safer and more responsible outputs.

Analyzes text reviews to identify potentially unsafe content like threats, hate speech, or illegal activity.

This tool analyzes nickel concentration data to identify potential risks and ensure safe handling procedures for improved accuracy and safety.

Ensures AI outputs align with Anthropic's safety principles and legal requirements, minimizing risk and promoting responsible use.

Together Evaluations assesses large language model outputs for quality, safety, and alignment, streamlining evaluation workflows & improving LLM performance.

Retrieve chemical properties, structures, and safety data from the PubChem database using compound names or identifiers.