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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

12,961–12,984 sur 13,084

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GitHub

context7-integration

Awais68

Use when integrating Context7 (knowledge/context store) for document ingestion, semantic search, or scoped context retrieval. Triggers for: uploading documents, searching knowledge base, filtering by role/tenan...

GitHub

context-fundamentals

Asmayaseen

Understand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.

GitHub

gerar-quiz-rag

diegofornalha

Gerador e executor de quiz sobre conhecimento RAG. Comandos: '/gerar-quiz-rag gerar' para gerar perguntas do banco RAG e salvar em JSON, '/gerar-quiz-rag iniciar' para executar quiz de 10 perguntas, '/gerar-qui...

GitHub

prompt-testing

astrosteveo

Use this skill when the user asks to "test prompts", "create prompt tests", "evaluate prompt quality", "run regression tests on prompts", "compare prompt versions", "set up LLM-as-judge evaluation", or needs gu...

GitHub

skill-creator

Day-in-the-Country-LLC

Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.

GitHub

dgx-spark-expert

macayaven

Comprehensive expert knowledge for NVIDIA DGX Spark workstation. Use when users ask about DGX Spark hardware, software, playbooks, AI Workbench, fine-tuning, inference, troubleshooting, known issues, container...

GitHub

using-skills

falconnt

Use when starting any conversation - establishes how to find and use skills before ANY response including clarifying questions

GitHub

abs-governance

eusheriff

Agent Behavior System governance layer for AI coding agents - enforce policies, audit decisions, and maintain safe autonomy

GitHub

wos-test-ai

amk92987

Run comprehensive AI and recommendation system tests. Creates test users at different game stages (Gen 10 dolphin, Gen 4 F2P, Gen 2 whale) with farm accounts, tests recommendations, lineups, and AI question rou...

GitHub

conductor-sys

GrazianoGuiducci

Field Meta-Orchestrator. Compiles and instantiates the appropriate skills for every perturbation (Unified Aethelred + COAC).

GitHub

regenerate-example

darthmolen

Use when asked to regenerate audio examples with shorthand like "L15 > P1 > E2" or "lesson 15 pattern 1 example 2" - runs regenerate_example.py with correct parameters

GitHub

agent-creator

hnkatze

Complete guide for creating Claude Code subagents including structure, patterns, archetypes, tools, models, and best practices. Use when creating new agents, designing agent systems, or understanding agent arch...

GitHub

subagents

crsiebler

Tool for searching, listing, and fetching subagents from the local filesystem. Allows browsing available subagents, searching by keywords, and retrieving full definitions from $HOME/.config/opencode/agents/.

GitHub

wispr-dictionary

tbroadley

Add words to the Wispr Flow dictionary. Use when the user wants to add a word, phrase, or snippet to Wispr Flow for voice dictation.

GitHub

hive

AI-Origo

Multi-agent coordination - redirects to hivemind MCP tools

GitHub

gemini-search

dj-oyu

Perform a web search using the Gemini CLI to retrieve up-to-date information, facts, or documentation not in your training data.

GitHub

evaluating-models

Alanlee0323

Expert system for evaluating machine learning models. Automates the analysis of Confusion Matrices, PR Curves, and MLflow history comparison to provide objective, data-driven recommendations.

GitHub

adversarial-strategy

ebowman

Develop rigorous Rumelt strategies through multi-model adversarial debate with GPT and Claude models. Use when user wants to create or refine a strategy document.

GitHub

using-superpowers

Cycleaddict

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

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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