16 skills found
zhurong2020 / pyobfus🛡️ Modern Python code obfuscator - Enterprise-grade protection at 50% lower cost than PyArmor
salitaba / maven-decoder-mcpMCP server for inspecting, searching, and decompiling Maven .m2 JARs for Java AI coding agents.
aahlijia / dekkoStatic code map generator (MAP.md + map.json) powered by tree-sitter — a Claude Code /map plugin and MCP server that gives coding agents call graphs, file outlines, and impacted-test lookups without spending tokens on parsing.
swjturay / codex-agy-delegatorAn MCP server for delegating repetitive coding tasks from Codex to Antigravity workers in isolated Git worktrees.
yamadashy / repomix📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
craigjmidwinter / mail-muncherAn email client for AI agents. Filtered, read-only Gmail delivered to disk as .eml + markdown, and served over MCP.
zip-rs / zip2Zip implementation in Rust
symgraph / BinAssistMCPBinary Ninja plugin to provide MCP functionality.
WPeace-HcH / wpegpt-analyzer驱动 IDA 配合 WPeGPT 插件对二进制可执行文件（PE/ELF）进行自动化逆向分析，输出包含程序用途、网络 IoC、可疑函数及漏洞评估的结构化报告。
Agents365-ai / paper-fetchDOI → PDF resolver with 7-source fallback (Unpaywall, S2, arXiv, PMC, bioRxiv, publisher, Sci-Hub). Multi-agent, zero-deps Python.
mormorbump / 00_basicfsmによる状態遷移のサンプル
mhadifilms / dvrDaVinci Resolve CLI, Python library, and MCP server. Automate editing, color, and rendering with LLM-friendly tools for AI agents (Claude, Cursor), declarative specs, and structured JSON output. No more silent None returns.
Dicklesworthstone / ruRepo Updater - Multi-repo synchronization with AI-assisted review orchestration. Parallel sync, agent-sweep for dirty repos, ntm integration, git plumbing. 17K LOC Bash CLI.
mlhher / late-cliStop degrading your model's reasoning. A minimal, zero-config AI coding agent. Enforced ephemeral subagents keep context pure. From tiny local models up to Sol, Fable and Kimi K3.
NimbleBrainInc / upjackDeclarative AI-native application framework — schema-driven entities, Markdown skills, MCPB packaging
headroomlabs-ai / headroomCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
