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Malware Analysis and Forensics Workflow

malware-analyst

sickn33/antigravity-awesome-skills

A comprehensive, step-by-step guide for security professionals to perform deep-dive malware analysis. It covers methodologies for static analysis (disassemblers, imports), dynamic execution (sandboxing, monitoring), identifying Indicators of Compromise (IOCs), and structuring professional threat reports. Essential for incident response and threat intelligence.

Mapbox Automation Guide

mapbox-automation

ComposioHQ/awesome-claude-skills

Structured steps for automating Mapbox workflows through Composio’s Rube MCP, covering prerequisites, discovery, execution, and schema compliance so you always hit the current toolkit state safely.

Mx Toolbox Automation Guide

mx-toolbox-automation

ComposioHQ/awesome-claude-skills

Automate Mx Toolbox operations through Composio’s Rube MCP by discovering tool schemas, managing the mx_toolbox connection, and issuing RUBE_MULTI_EXECUTE_TOOL calls with session-aware workflows for consistent, schema-compliant execution.

OpenEvidence Local Dev Loop

openevidence-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This provides a local development loop for integrating the OpenEvidence clinical decision support API. Developers can build health-tech tools and quickly iterate using mock evidence queries, citation responses, and clinical summaries. It supports toggling between mock mode for rapid development and sandbox mode for validation against the real platform, ensuring development uses de-identified data.

Vercel Preview Deploy

tech-leads-club/agent-skills

Deploy projects or websites instantly to Vercel using preview mode, with fallback scripts handling packaging and authentication, and guidance for escalated network access when sandboxing blocks outbound requests.

Inspecting Vertex AI Agent Engine Deployments

vertex-engine-inspector

jeremylongshore/claude-code-plugins-plus-skills

This skill thoroughly inspects and validates Vertex AI Agent Engine deployments. It assesses critical components such as the Code Execution Sandbox, Memory Bank, A2A protocol compliance, security posture, and performance metrics. The tool generates weighted production-readiness scores (0-100%) and provides detailed, actionable recommendations to ensure the deployment is robust, secure, and ready for production use.

Waboxapp Automation Toolkit

waboxapp-automation

ComposioHQ/awesome-claude-skills

Automates Waboxapp operations through Composio’s Rube MCP by guiding the search for current tool schemas, verifying toolkit connections, and executing schema-compliant workflows with consistent session and memory handling.

Agentic Actions Auditor

agentic-actions-auditor

trailofbits/skills

Audits GitHub Actions workflows that invoke AI coding agents to surface prompt injection and sandbox risks, tracing attacker-controlled inputs through env vars, reusable actions, and workflow references before deployment or code review.

QuTiP Quantum Toolbox

K-Dense-AI/claude-scientific-skills

QuTiP is a Python toolbox for simulating open and closed quantum systems, offering solvers for master equations, trajectory methods, visualization, and analysis tailored to quantum research, education, and exploratory physics studies.

Seatbelt Sandbox Generator

seatbelt-sandboxer

trailofbits/skills

Generates minimal macOS Seatbelt sandbox profiles with allowlist-based resource rules so apps can be isolated by permissions, useful for restricting file, network, and IPC access when defending against high-risk execution or supply chain threats.

SHAP Model Explainability

K-Dense-AI/claude-scientific-skills

Guides using SHAP to explain ML predictions, compute feature importance, generate diagnostic plots, debug models, analyze bias, and compare models across tree, deep, linear, or black-box architectures.

TorchDrug GNN Toolkit

K-Dense-AI/claude-scientific-skills

TorchDrug is a PyTorch-native toolbox for building graph neural networks tailored to molecules, proteins, and biomedical knowledge graphs, covering property prediction, generation, retrosynthesis, and knowledge graph reasoning with curated datasets and models.

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