Rechercher

PythonReactSEOPDF

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

5,713–5,736 sur 13,084

testing security llm ai Effacer les filtres

Explorer

GitHub

claude-cost-optimization

adaptationio

Comprehensive cost tracking and optimization for production Claude deployments. Covers Admin API usage tracking, efficiency measurement, ROI calculation, optimization patterns (caching, batching, model selectio...

GitHub

codex-auth

adaptationio

Setup and manage OpenAI Codex CLI authentication including ChatGPT Plus/Pro OAuth, API keys, and multi-account management. Use when configuring Codex access, switching accounts, or troubleshooting authenticatio...

GitHub

initializer-agent

adaptationio

First-session agent for autonomous coding projects. Use when starting a new autonomous project, generating feature lists, setting up environments, or scaffolding project structure.

GitHub

codex-tools

adaptationio

Execute and manage Codex CLI tools including file operations, shell commands, web search, and automation patterns. Use for automated workflows, tool orchestration, and full automation with permission bypass.

GitHub

xai-agent-tools

adaptationio

xAI Agent Tools API for autonomous tool calling with X search, web search, and code execution. Use when building agents that need real-time data access and autonomous task execution.

GitHub

ralph-wiggum-v2

adaptationio

Autonomous TDD development loop with parallel agent swarm, category evolution, and convergence detection. Use when running autonomous game development, quality improvement loops, or comprehensive codebase revie...

GitHub

skill-builder-medical

adaptationio

Specialized guide for creating Claude Code skills for Dr. Sophia AI medical system. Includes healthcare integration patterns (FHIR/REST/EHR), medical compliance validation (HIPAA/PBS/TGA), botanical design inte...

GitHub

feedback-analyzer

adaptationio

Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Us...

GitHub

auto-updater

adaptationio

Automatically apply improvements to skills and the ecosystem based on system-reviewer findings and best-practices-learner insights. Workflow for automated improvement identification, priority assessment, safe a...

GitHub

skill-reviewer

adaptationio

Identify improvement opportunities in Claude Code skills through targeted review operations. Complements review-multi by focusing on actionable improvements rather than scoring. Use when seeking specific improv...

GitHub

ac-parallel-coordinator

adaptationio

Coordinate parallel autonomous operations. Use when running parallel features, managing concurrent work, coordinating multiple agents, or optimizing throughput.

GitHub

anthropic-expert

adaptationio

Comprehensive Anthropic product expertise covering Claude models, Claude API, Python SDK, Agent SDK, Claude Code, and Model Context Protocol. Six integrated capabilities with complete documentation, searchable...

GitHub

autonomous-opus-loop

adaptationio

Autonomous Claude Code operation using Opus 4.5 for intelligent continuation decisions. Use when running long tasks, multi-step implementations, overnight development, or any workflow requiring continuous auton...

GitHub

gemini-tools

adaptationio

Execute and manage Gemini CLI built-in tools including file operations, web search, shell commands, and memory. Use for automated workflows, tool orchestration, and safe execution patterns.

GitHub

railway-troubleshooting

adaptationio

Railway Docker cache troubleshooting for Dr. Sophia AI deployments. Covers cache detection, force rebuild methods, version verification, deployment validation. Use when Railway shows old code after deployment,...

GitHub

improvement-workflow

adaptationio

Complete continuous improvement cycle orchestrating review, analysis, learning extraction, systematic updates, and validation. Sequential workflow from comprehensive review through pattern analysis and learning...

GitHub

auto-claude-optimization

adaptationio

Auto-Claude performance optimization and cost management. Use when optimizing token usage, reducing API costs, improving build speed, or tuning agent performance.

GitHub

skill-updater

adaptationio

Apply improvements to Claude Code skills systematically. Workflow for planning updates, implementing changes, validating improvements, and documenting changes. Use when applying review recommendations, updating...

GitHub

progress-tracker

adaptationio

Track and report progress across autonomous coding sessions. Use when generating progress reports, calculating metrics, visualizing completion, or estimating time to completion.

GitHub

parallel-agent-spawner

adaptationio

Spawn and coordinate parallel agents for faster completion. Use when running parallel tasks, spawning subagents, coordinating concurrent work, or optimizing throughput.

GitHub

tri-ai-collaboration

adaptationio

Complete development workflows where Claude writes the code while Gemini and Codex provide research, planning, reviews, and different perspectives. Claude remains the main developer. Use for complex projects re...

GitHub

bedrock-agentcore-memory

adaptationio

Amazon Bedrock AgentCore Memory for persistent agent knowledge across sessions. Episodic memory for learning from interactions, short-term for session context. Use when building agents that remember user prefer...

GitHub

bedrock-agentcore-policy

adaptationio

Amazon Bedrock AgentCore Policy for defining agent boundaries using natural language and Cedar. Deterministic policy enforcement at the Gateway level. Use when setting agent guardrails, access control, tool per...

GitHub

ac-insight-extractor

adaptationio

Extract insights from autonomous coding sessions. Use when learning from completions, extracting patterns, analyzing decisions, or improving future performance.

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.

Plus de filtres

Popularité

Tags populaires