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ui
XML layouts, ConstraintLayout, Jetpack Compose, Material Design 3.
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pluginagentmarketplace AI Skills
GitHub ↗Browse published AI skills maintained by pluginagentmarketplace. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
678Repository stars across indexed skills
1,622Repository forks
216Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Popular categories
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Browse skills
GitHub
vulnerability-discovery
Systematic vulnerability finding, threat modeling, and attack surface analysis for AI/LLM security assessments
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GitHub
defense-implementation
Implement mitigations, create input filters, design output guards, and build defensive prompting for LLM security
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GitHub
responsible-disclosure
Ethical vulnerability reporting, coordinated disclosure, and bug bounty participation for AI systems
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GitHub
red-team-frameworks
Tools and frameworks for AI red teaming including PyRIT, garak, Counterfit, and custom attack automation
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GitHub
adversarial-examples
Generate adversarial inputs, edge cases, and boundary test payloads for stress-testing LLM robustness
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GitHub
safety-filter-bypass
Techniques to test and bypass AI safety filters, content moderation systems, and guardrails for security assessment
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GitHub
rag-exploitation
Attack techniques for Retrieval-Augmented Generation systems including knowledge base poisoning
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GitHub
infrastructure-security
Securing AI/ML infrastructure including model storage, API endpoints, and compute resources
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GitHub
data-poisoning
Test AI training pipelines for data poisoning vulnerabilities and backdoor injection
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GitHub
continuous-monitoring
Real-time monitoring and detection of adversarial attacks and model drift in production
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GitHub
model-inversion
Privacy attacks to extract training data and sensitive information from AI models
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GitHub
input-output-guardrails
Implementing safety filters, content moderation, and guardrails for AI system inputs and outputs
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GitHub
testing-methodologies
Structured approaches for AI security testing including threat modeling, penetration testing, and red team operations
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GitHub
secure-deployment
Security best practices for deploying AI/ML models to production environments
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GitHub
prompt-hacking
Advanced prompt manipulation including direct attacks, indirect injection, and multi-turn exploitation
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GitHub
llm-jailbreaking
Advanced LLM jailbreaking techniques, safety mechanism bypass strategies, and constraint circumvention methods
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GitHub
adversarial-training
Defensive techniques using adversarial examples to improve model robustness and security
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GitHub
automated-testing
CI/CD integration and automation frameworks for continuous AI security testing
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GitHub
code-injection
Test AI systems for code injection vulnerabilities including prompt-to-code attacks and agent exploitation
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GitHub
model-extraction
Techniques to extract model weights, architecture, and training data through API queries
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GitHub
certifications-training
Professional certifications, CTF competitions, and training resources for AI security practitioners
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GitHub
red-team-reporting
Professional security report generation, executive summaries, finding documentation, and remediation tracking
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GitHub
security-testing
Comprehensive security testing automation for AI/ML systems with CI/CD integration
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.