Sandbox
14 repos for ai-assistant · Claude Code · Code reviewClear
scheidydude/
codeindex

Repo dependency analyzer with **blast-radius impact scoring** for AI-assisted development.

272
FuzzingLabs/
mcp-security-hub

A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.

784
MarcusJellinghaus/
mcp-workspace

MCP Workspace Server: A secure Model Context Protocol server providing file, git, and GitHub tools for AI assistants within a sandboxed project directory.

49
FlyFission/
nuclear-grade-context-engineering

AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.

33

Find and repair substance defects in AI-assisted prose, code, docs, and agent output. Reports defects, never authorship. Structural tests over model judgement, because LLM judges agree with human slop labels at chance.

48
yogthos/
chiasmus

Chiasmus is an MCP server that gives language models access to formal verification

211
cxuu/
golang-skills

AI Agent Skills for idiomatic, production-ready Go code, distilled from Google, Uber, Community

158
matlab/
rules
matlab/rulesRules & Prompts

A collection of MATLAB coding rules and guidelines optimized for use with AI coding assistants like Cursor, Windsurf, Claude Code, and GitHub Copilot

48
duthaho/
claudekit

A verification-first engineering toolkit for Claude Code. Built for senior ICs and tech leads who already know how to ship production code — and want a workflow that keeps the discipline tight without getting in the way.

97
arpitnath/
claude-capsule-kit

A toolkit that makes Claude Code better at engineering — session memory, dependency analysis, large file navigation, 18 specialist agents, and crew teams for parallel multi-branch work.

90

oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.

835
zhu1090093659/
spec_driven_develop

Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.

979
giancarloerra/
SocratiCode

Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.

3.3k