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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
testing security llm ai Effacer les filtres
Explorer
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vulnerability-discovery
Systematic vulnerability finding, threat modeling, and attack surface analysis for AI/LLM security assessments
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defense-implementation
Implement mitigations, create input filters, design output guards, and build defensive prompting for LLM security
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red-team-frameworks
Tools and frameworks for AI red teaming including PyRIT, garak, Counterfit, and custom attack automation
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adversarial-examples
Generate adversarial inputs, edge cases, and boundary test payloads for stress-testing LLM robustness
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safety-filter-bypass
Techniques to test and bypass AI safety filters, content moderation systems, and guardrails for security assessment
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rag-exploitation
Attack techniques for Retrieval-Augmented Generation systems including knowledge base poisoning
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infrastructure-security
Securing AI/ML infrastructure including model storage, API endpoints, and compute resources
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input-output-guardrails
Implementing safety filters, content moderation, and guardrails for AI system inputs and outputs
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secure-deployment
Security best practices for deploying AI/ML models to production environments
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prompt-hacking
Advanced prompt manipulation including direct attacks, indirect injection, and multi-turn exploitation
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llm-jailbreaking
Advanced LLM jailbreaking techniques, safety mechanism bypass strategies, and constraint circumvention methods
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code-injection
Test AI systems for code injection vulnerabilities including prompt-to-code attacks and agent exploitation
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model-extraction
Techniques to extract model weights, architecture, and training data through API queries
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prompt-injection-testing
Master prompt injection attacks, jailbreak techniques, input manipulation, and payload crafting for LLM security testing
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benchmark-datasets
Standard datasets and benchmarks for evaluating AI security, robustness, and safety
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delegate-reviewer
Delegate user perspective reviews to GPT-5.2 Reviewer agent. Use when (1) Feature implementation is complete and needs UX validation, (2) User asks to create a pull request (review before PR), (3) User explicit...
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delegate-quick-helper
Delegate simple, fast tasks to GPT-5-mini Quick-Helper agent. Use when (1) Simple file operations needed (finding files, listing directories, basic grep), (2) Quick validations required (file existence, JSON va...
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api-monitor
Monitor and analyze narrative API logs from Google Cloud Run. Use when (1) Investigating Cloud Run API errors or failures, (2) Analyzing API usage costs and optimizing spend, (3) Measuring scenario generation p...
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prep-meetings
Prepare for customer meetings by aggregating context from multiple data sources. Invoked with /prep-meetings.
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api-client-template
Template for creating API integration skills. Copy and customize for your specific API.
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slack-writer
Draft Slack messages with appropriate tone. Use when writing messages to teammates or customers over Slack.
GitHub
knowledge-research
Research solutions, algorithms, and best practices from the SurrealDB GraphRAG knowledge base containing 600+ scientific papers, StackOverflow answers, and GitHub repositories.
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parallel-agents
Coordinate parallel agent execution for complex multi-step tasks using background agents and delegation patterns.
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.