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Skills IA testing security llm ai

Découvrez les skills testing security llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: testing security llm ai

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GitHub

video-generation

olivenet-iot

AI video generation with Sora, Veo, and Kling. Use when creating Reels, video prompts, or handling video generation workflows.

GitHub

telegram-bot

olivenet-iot

Telegram bot komutlari ve handler referansi. Use when working with Telegram bot commands, callbacks, or approval workflows.

GitHub

create-skill

runxgalee

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation,...

GitHub

pro

mix060514

Activates the Expert Council to analyze complex problems using simulated multi-persona perspectives. Use when the user types "/pro" or asks for deep analysis/consultation.

GitHub

create-skill

mix060514

Helper agent to scaffold new Gemini CLI skills. Use this when the user wants to "make a new skill", "add a skill", or "teach you a new capability" via the skill system.

GitHub

ai-governance

DTMC-marketplace

AI governance and responsible AI planning including EU AI Act classification, NIST AI RMF, and AI ethics frameworks

GitHub

fact-checker

DTMC-marketplace

AI tool that analyzes language and context to identify potential misinformation and fact-check claims made by public figures

GitHub

gemini-extension-development

DTMC-marketplace

Expert guide for building and managing Gemini CLI Extensions. Covers extension anatomy, GEMINI.md context, commands, MCP integration, and publishing. Use when creating Gemini extensions, linking local extension...

GitHub

bias-assessment

DTMC-marketplace

Evaluate AI systems for fairness using demographic parity, equalized odds, and bias detection techniques with mitigation strategies.

GitHub

model-selection

DTMC-marketplace

Select appropriate AI/ML models based on capability matching, benchmarks, cost-performance tradeoffs, and deployment constraints.

GitHub

downstream-notifier

DTMC-marketplace

Automated email notification system for EU AI Act Article 13 compliance, featuring codebase change summarization and documentation distribution.

GitHub

ethics-review

DTMC-marketplace

AI and technology ethics review including ethical impact assessment, stakeholder analysis, and responsible innovation frameworks

GitHub

ai-ethics-advisor

DTMC-marketplace

Comprehensive AI ethics and responsible AI development specialist. Use PROACTIVELY for bias assessment, fairness evaluation, ethical AI implementation, community impact analysis, and regulatory compliance. Trig...

GitHub

agentic-workflow-design

DTMC-marketplace

Design multi-agent AI systems including orchestration patterns, tool design, memory management, and error handling for autonomous agents.

GitHub

token-budgeting

DTMC-marketplace

Estimate and optimize AI/ML costs including token usage, context window management, batch processing, and caching strategies.

GitHub

multilingual-localization

DTMC-marketplace

Translate documentation and instructions to EU languages while preserving formatting. Use when the user wants to translate, localize, or convert documents to another language, especially for EU AI Act Article 1...

GitHub

rag-architecture

DTMC-marketplace

Design retrieval-augmented generation pipelines including chunking, embedding, retrieval, and context assembly strategies.

GitHub

hitl-design

DTMC-marketplace

Design human-in-the-loop workflows including review queues, escalation patterns, feedback loops, and quality assurance for AI systems.

GitHub

gemini-workspace-bridge

DTMC-marketplace

Central authority for Claude-Gemini shared workspace architecture. Defines directory structure, artifact exchange, and file naming conventions. Use when setting up dual-CLI workflows, deciding where to store AI...

GitHub

ai-safety-planning

DTMC-marketplace

Plan AI safety measures including alignment, guardrails, red teaming, and regulatory compliance (EU AI Act, NIST AI RMF).

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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