GitHub
model-inversion
Privacy attacks to extract training data and sensitive information from AI models
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Documentation AI Skills
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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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GitHub
prompt-injection-testing
Master prompt injection attacks, jailbreak techniques, input manipulation, and payload crafting for LLM security testing
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GitHub
benchmark-datasets
Standard datasets and benchmarks for evaluating AI security, robustness, and safety
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GitHub
git-basics
Git fundamentals - init, add, commit, status, log, and core concepts
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GitHub
basic-workflow
Daily Git workflow - add, commit, push, pull cycle for everyday development
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GitHub
collaboration
Team collaboration - remote, fetch, pull, push, clone, and team workflows
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GitHub
branching
Git branching strategies - create, switch, merge, rebase, and workflows
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GitHub
github-features
GitHub platform features - PRs, issues, actions, projects, and automation
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GitHub
git-intro
Introduction to Git version control - what, why, and first steps
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GitHub
advanced-git
Advanced Git - interactive rebase, cherry-pick, bisect, reflog, and power user operations
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GitHub
verification-before-completion
Use when about to claim work is complete, fixed, or passing. Run verification commands and confirm output before making any success claims. Evidence before assertions.
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GitHub
test-driven-development
Use when implementing any feature or bugfix. Write the test first, watch it fail, write minimal code to pass. Red-Green-Refactor cycle.
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