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Avoiding Common AI Coding Pitfalls

cursor-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to avoiding common pitfalls when using AI-powered IDEs like Cursor. It covers best practices for AI interaction, secure coding habits (handling secrets, credentials), project configuration (rules, ignore files), and performance optimization. Essential for maintaining high code quality and security in AI-assisted workflows.

AWS Macie for S3 Data Classification

implementing-aws-macie-for-data-classification

mukul975/Anthropic-Cybersecurity-Skills

Amazon Macie is a fully managed AWS service utilizing advanced machine learning and pattern matching to discover, classify, and protect sensitive data (PII, financial records, credentials) stored in Amazon S3. It provides deep visibility into your cloud data, enabling comprehensive Data Loss Prevention (DLP) and compliance auditing by identifying specific sensitive data types through automated and targeted discovery jobs.

Manage LLM Provider Integrations in Arize

arize-ai-provider-integration

github/awesome-copilot

This skill provides comprehensive management capabilities for AI Integrations within the Arize platform. Users can create, list, retrieve, and update credentials for various Large Language Model (LLM) providers, including OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Vertex AI. These integrations are crucial for enabling Arize's advanced monitoring and evaluation features that require invoking external LLMs.

Configure Abridge EHR Integration and Authentication

abridge-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This guide details the process of setting up authentication and integration credentials for the Abridge clinical AI platform. It covers prerequisites for connecting to major EHR systems (Epic, Athena) using FHIR R4 APIs and implements OAuth 2.0 (SMART on FHIR) flows, ensuring secure, HIPAA-compliant data handling for ambient documentation.

Agent Skill Security Scanner

edgeone-skill-scanner

Tencent/AI-Infra-Guard

A comprehensive tool designed to scan any agent skill for potential security risks and vulnerabilities before implementation or use. Powered by local static analysis (A.I.G.), it ensures that no file contents, credentials, or personal data ever leave your device, providing maximum privacy and safety for integrating new AI capabilities across various agent platforms.

Monitoring Paste Sites for Leaked Credentials

gather-customer-information

mukul975/Anthropic-Cybersecurity-Skills

Automated system designed to monitor paste sites (e.g., Pastebin, GitHub Gists) for leaked credentials, API keys, and sensitive data dumps. It uses advanced scraping, keyword matching, and regex patterns to provide early detection of data breaches and security incidents.

Azure AI Transcription SDK

azure-ai-transcription-py

sickn33/agentic-awesome-skills

Python SDK for transcribing authorized audio files with the azure-ai-transcription client, including timestamps, authentication options, and privacy-aware handling of transcripts and credentials.

Human Agent Trust Exploit Detection

human-agent-trust-exploit-detection

Tencent/AI-Infra-Guard

This skill detects when AI agents exploit human trust through social engineering, deceptive guidance, or false assurances. It identifies prompts that induce unsafe actions, request sensitive credentials, or impersonate authority figures. Use this when evaluating agent safety, security advice, or decision-influencing workflows. Skip for static information.

Agent Skill Creation Workflow

sickn33/agentic-awesome-skills

Convert approved documentation, repositories, or PDFs into reusable agent skills using the Skill Seekers workflow. Review generated content for triggers, guidance, and security before installation. Supports licensing checks and excludes private credentials.

Team Context Memory Management

remember-team-context

This skill manages and stores approved team context securely using RuVector isolation. It ensures tenant-local data privacy by excluding sensitive credentials and personal information. During retrieval, it preserves provenance and treats data as untrusted. It prevents memory transfer between teams, maintaining strict security boundaries for AI team operations.

Unified AI Gateway Management

unified-ai-gateway

sickn33/agentic-awesome-skills

Operate and evaluate a local Unified AI System through governed MCP tools without provider credentials. This skill enables secure inspection of AI gateways, including prompt enhancement and authorization boundaries, ensuring safety through content review and Docker image analysis before deployment.

AI Agent Security Hardening

agent-security-hardening

Security hardening guidance for AI agent frameworks processing untrusted content, invoking tools, writing files, managing identifiers, or handling credentials. Use when building or reviewing agent runtimes, autonomous workers, tool gateways, memory services, or multi-tenant deployments.

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