Feature Analysis
Top open-source Feature Analysis AI systems, agents, and MCP tools.
Discover and install verified Feature Analysis AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (7)
Open in Advanced FilterMARVIS-Agent: all-purpose credit risk agent for model development, validation, data processing, feature engineering, and strategy workflows.
An interactive disassembler for the CPU 6502, focused on Commodore 8-bit computers. Features a TUI with modern features like x-ref, undo/redo, flow arrows, keyboard-driven, MCP server for auto analysis, VICE debugger and more!
PCAP Hunter is an AI threat hunting workbench. It uses Zeek and Tshark to analyze PCAPs, enriched by OSINT. Features include a world map, JA3 forensics, and C2 detection. It generates multi-language security reports via local or cloud LLMs, prioritizing privacy and speed.
Claude Code v2.1.88 source analysis: system prompts, 87 hidden feature flags, cost optimization, architecture diagrams, undercover mode, and comparison with Cursor/Cline. No source code redistributed.
Turn vague product or feature ideas into clear, checkable requirements before planning or coding—mapping rough descriptions to professional terms, exposing ambiguities, and aligning goals, flows, and boundaries. 这是一个需求澄清 Skill：把说不清的想法整理成一份清晰、可核对的需求清单，在执行任务前对齐目标、流程与边界等。
Professional slash commands for Claude Code that provide structured workflows for software development tasks including code review, feature creation, security auditing, and architectural analysis.
Specialized MiniMax Model Context Protocol (MCP) server designed for coding-plan users, featuring AI-powered search and vision analysis APIs optimized for code development workflows
Build & Monetize for Feature Analysis
Have you created an autonomous agent, MCP server, or Claude Code skill for Feature Analysis? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.