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testing security framework internals AI Skills

Discover testing security framework internals skills, compare source repositories and read the instructions for each workflow.

Categories: testing security framework internals

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GitHub

feature-explorer

krakend

Discovers KrakenD features, checks edition availability (CE vs EE), and provides implementation examples

GitHub

mcp-serena-fast-ops

NEXTAltair

Fast code operations using Serena MCP (1-3s) for symbol search, memory read/write, and basic code editing in LoRAIro project

GitHub

collimator

nathanial

Guide for using Collimator, a profunctor optics library for Lean 4. Use when writing code with lenses, prisms, traversals, or when accessing/modifying nested data structures.

GitHub

maturin-debugger

illumination-k

Diagnose and fix maturin build issues for PyO3 Python bindings. Use when encountering problems with maturin develop, missing Python exports, module registration errors, or type stub generation issues. Particula...

GitHub

rust-performance-analyzer

vanyastaff

Analyzes Rust code for performance bottlenecks, memory inefficiencies, and optimization opportunities. Use when discussing performance, slow code, memory usage, profiling, benchmarks, or optimization.

GitHub

socket-programming

pluginagentmarketplace

Low-level socket programming including BSD sockets, Winsock, and network byte manipulation

GitHub

io-multiplexing

pluginagentmarketplace

High-performance I/O multiplexing including epoll, IOCP, kqueue, and io_uring

GitHub

using-jax

yallup

Applies JAX patterns for scientific Python development. Use when working with JAX, distrax, numpyro, blackjax, or scientific computing. Covers vmap, JIT, RNG handling.

GitHub

plugin-optimization

pluginagentmarketplace

Master plugin performance optimization, best practices, and marketplace readiness. Learn to optimize for speed, efficiency, and user satisfaction.

GitHub

advanced-topics

pluginagentmarketplace

Explore advanced CS topics including advanced data structures, parallel computing, security, functional programming, and quantum computing.

GitHub

complexity-analysis

pluginagentmarketplace

Analyze algorithm complexity, understand Big O notation, computability theory, NP-completeness, and computational limits.

GitHub

rust-iterators

gar-ai

Leverage iterator chains for efficient, lazy data processing without intermediate allocations. Use when processing collections.

GitHub

rust-gpu-scheduling

gar-ai

Implement GPU scheduling with VRAM budgets, work queues, and model lifecycle management. Use when building ML pipeline orchestrators.

GitHub

rust-memory

gar-ai

Minimize allocations and cloning using references, Cow, and smart pointers. Use when optimizing hot paths or memory-constrained code.

GitHub

mithril-checkpoint-agent

gar-ai

Build mithril-checkpoint compression for PyTorch models. Use when implementing byte grouping, compression pipeline, or checkpoint I/O.

GitHub

mithril-cache-agent

gar-ai

Build mithril-cache for torch.compile caching. Use when implementing content-addressable storage, cache keys, eviction, or framework hooks.

GitHub

rust-tokio-essentials

gar-ai

Core Tokio patterns including runtime setup, spawn_blocking for CPU work, and avoiding blocking operations. Use for any async Rust development.

GitHub

rust-pyo3-bridge

gar-ai

Bridge Rust and Python using PyO3 with proper GIL handling and async compatibility. Use when integrating Python ML models or libraries.

GitHub

assisting-reverse-engineering

waiwai24

Provides reverse engineering analysis support including function identification, data structure analysis, and behavior understanding. Use when analyzing unknown binaries, understanding program structure, or inv...

GitHub

detecting-integer-overflow

waiwai24

Detects integer overflow and underflow vulnerabilities in arithmetic operations used for buffer sizing or allocation. Use when analyzing calculations, size computations, or investigating integer wraparound issu...

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.

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