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MCP Servers

Kernel-level sandboxing for LLM agent tool calls made through the Model Context Protocol (MCP).

A lightweight wrapper around mcp-swift-sdk that integrates with LLM Swift libraries such as SwiftOpenAI and SwiftAnthropic to easily create your own MCP Clients in macOS applications.

One-command installer for integrating Google NotebookLM with OpenClaw via MCP.

MCP server for fetch web page content using Playwright headless browser.

ops-mcp-server is an IT operations management solution for the AI era. It achieves intelligent IT operations through the seamless integration of the Model Context Protocol (MCP) and Large Language...

mcp_dart is a dual-era Dart and Flutter SDK for MCP clients, servers, and AI hosts. It implements the complete core client/server wire surface of the locked MCP 2026-07-28 specification, retains the...

"The question is not what you look at, but what you see." — Henry David Thoreau

This project demonstrates how to build a multi-agent system using Agent-to-Agent (A2A) communication with the Model Context Protocol (MCP).

Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop.

MCP-сервер для проверки синтаксиса 1С:Предприятие с автоматической инициализацией.

A GitHub CLI extension that seamlessly runs the github-mcp-server as a bundled binary using your existing gh authentication.

Expose llms-txt to IDEs for development
Agent Skills

Linear Chain-of-Thought anchors on whatever it says first. Tree-of-Thought widens the search but still walks a single shared context, so the anchoring persists across branches.

Repeatable agents-plus-code workflows, packaged as one skill, stamped into any repo. Deterministic Python owns the graph; coding agents are bounded nodes inside it.

Use any agent to create stunning, interactive presentations

video-spec-builder —— 把我想做个视频逼成一份精确到秒的分镜脚本 video-spec.md,交给 HyperFrames 渲染。一条命令装到 Claude Code / Cursor / Codex:npx skills add feicaiclub/video-spec-builder

VulnHunter is an open-source, that applies proactive, attacker-first analysis directly to source code.

CAR is a meta-harness for coding agents (Codex, Hermes, OpenCode, OMP, anything ACP). It is not a coding agent itself. You bring the plan and the agents; CAR coordinates the long-running execution.

1. 对话 skill 模式:在聊天中按 SKILL.md 约束执行单轮改写;安装本仓库作为 skill 后即可直接使用。 2. 脚本 API 模式:通过 scripts/run_aigc_round.py 执行单轮分段处理,并按需调用外部 OpenAI 兼容接口。 3. Web 模式:启动本地后端和前端页面,在浏览器中完成上传、配置、执行和导出。 4. app:安装app可直接使用

得到 APP 课程下载工具,可在终端查看文章内容,可生成 PDF,音频文件,markdown 文稿,可下载电子书。可结合 openclaw +skill 等使用

面向 Web 逆向分析与接口签名还原场景的 Skill,围绕 camoufox-reverse MCP 构建单一工作流:先用 Camoufox 反检测浏览器完成网络捕获、源码定位、Hook 调试与反检测验证,再按需落地到 Node.js 或 Python 算法还原与自动化调用。

Slide decks, landing pages, interactive prototypes, interactive explainers, animations, design systems, and more — powered by structured design thinking and built-in quality guardrails.

将本仓库中的 skills/audit-skills/ 整个目录放置到 claude 或 codex 可识别的 .skills/ 目录下;能力范围覆盖 Java、.NET 与 PHP 审计:

🦀 Crabwalk 🦀 Real-time companion monitor for OpenClaw agents.