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cs-osCS 操作系统

Agent Skill

cs-os 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

376

周安装

16

GitHub Stars

4

下载量

132
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cs-os(CS 操作系统)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/cs-os
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill cs-os
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/alphaonedev/openclaw-graph --skill cs-os

简介

cs-os 提供操作系统核心概念支持,涵盖进程、线程、虚拟内存、文件系统、IPC 与 syscall。

  • 适用于 fork 进程、线程同步、内存分配、挂载操作与 POSIX 标准实现等场景。
  • 可生成准确可执行的代码片段,解释 CFS 调度器、信号量与死锁预防机制。
  • 支持多线程竞争条件分析、内存泄漏检测与系统调用追踪等调试任务。
  • 不适合高级系统设计,专注底层机制实现与常见问题解决方案。

SKILL.md

Purpose

This skill equips the AI to generate code, explain concepts, and handle tasks related to operating system fundamentals, focusing on processes, threads, fibers, Completely Fair Scheduler (CFS), virtual memory, file systems, inter-process communication (IPC), syscalls, and POSIX standards. Use it to produce accurate, executable code snippets or detailed explanations for OS-related queries.

When to Use

Apply this skill for user queries involving process management (e.g., forking processes), thread synchronization, memory allocation via virtual memory APIs, file system operations like mounting or reading directories, IPC mechanisms such as pipes or sockets, or POSIX-compliant syscalls. Use it in coding scenarios like building a multi-threaded server or debugging memory leaks.

Key Capabilities

  • Processes: Handle creation with fork(), termination via waitpid(), and management using exec() family functions with flags like EXEC_ENV.
  • Threads/Fibers: Create threads via pthread_create() with attributes like pthread_attr_t, and fibers using user-space libraries like Boost.Context.
  • CFS Scheduling: Explain CFS algorithms, including how it uses virtual runtime (vruntime) for fairness; generate code to simulate scheduling with sleep() and getpriority().
  • Virtual Memory: Manage mappings with mmap() using flags like MAP_PRIVATE, and unmap with munmap(); handle page faults via mprotect() with PROT_NONE.
  • File Systems: Perform operations like open() with O_CREAT|O_EXCL flags, read/write with specific offsets, and directory traversal using opendir()/readdir().
  • IPC: Implement pipes with pipe() array, message queues via msgget()/msgsnd(), and sockets with socket(AF_INET, SOCK_STREAM, 0).
  • Syscalls: Wrap POSIX syscalls like getpid() or kill() in C code, ensuring error checking with errno.
  • POSIX: Ensure compliance by using standards like POSIX.1 for threads and file I/O, with code adhering to real-time extensions.

Usage Patterns

Invoke this skill by prefixing queries with the skill ID, e.g., "cs-os: Write code to fork a process". Always specify context, like "cs-os: Explain CFS with a C simulation". For code generation, request outputs in C or C++ with POSIX headers. Pattern: Query -> AI generates 2-4 line snippets -> AI explains usage. For multi-step tasks, chain with other skills, e.g., first use cs-os for process code, then integrate with a networking skill. Test generated code in a POSIX environment like Linux.

Common Commands/API

  • Processes: Use fork() to create a child; example: pid_t pid = fork(); if (pid == 0) execl("/bin/echo", "echo", "Child", NULL);
  • Threads: Call pthread_create() with a thread function; example: pthread_t thread; pthread_create(&thread, NULL, my_function, NULL); pthread_join(thread, NULL);
  • CFS Scheduling: Simulate with sched_setscheduler() and SCHED_OTHER policy; example: struct sched_param param; sched_setscheduler(0, SCHED_FIFO, &param);
  • Virtual Memory: Map memory with mmap(); example: void *mem = mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_ANON|MAP_PRIVATE, -1, 0); if (mem == MAP_FAILED) exit(1);
  • File Systems: Open files with open(); example: int fd = open("file.txt", O_RDWR|O_CREAT, 0644); write(fd, buffer, size); close(fd);
  • IPC: Create a pipe; example: int pipefd[2]; pipe(pipefd); write(pipefd[1], "Message", 7); read(pipefd[0], buffer, 7);
  • Syscalls: Use getpid(); example: pid_t mypid = getpid(); printf("PID: %d\n", mypid);
  • POSIX: For threads, use pthread_mutex_lock(); example: pthread_mutex_t mutex; pthread_mutex_lock(&mutex); /* Critical section */ pthread_mutex_unlock(&mutex); If authentication is needed for external OS tools (e.g., cloud-based VMs), set env vars like $OS_API_KEY for API calls, but POSIX syscalls typically don't require it.

Integration Notes

Integrate this skill into your AI workflow by calling it via the skill ID in response handlers, e.g., in a Python script: response = ai_invoke('cs-os', query='Generate fork code'). Ensure the environment is POSIX-compliant (e.g., Ubuntu) and include necessary headers like <unistd.h> or <pthread.h> in generated code. For config formats, use JSON for simulation parameters, e.g., {"process_count": 5, "memory_size": 1024}. If combining with other skills, pass outputs as inputs, like using cs-os generated code in a cs-networking skill for IPC over sockets. Always compile and test snippets with gcc -o output.c -lpthread.

Error Handling

For syscalls, always check return values and use errno; example: if (fork() == -1) {perror("Fork error"); exit(errno);}. For threads, handle pthread errors with pthread_create's return code: if (pthread_create(&thread, NULL, func, NULL)!= 0) {fprintf(stderr, "Thread creation failed\n");}. In file operations, verify fd: if (open("file.txt", O_RDONLY) == -1) {errno_check();}. Use strerror(errno) for messages. For IPC, check queue IDs: if (msgget(key, 0666) == -1) {handle_error("msgget");}. In code generation, instruct the AI to include try-catch in higher-level wrappers or exit gracefully in C.

Concrete Usage Examples

  1. Usage: User asks to manage a process for logging. Invoke: "cs-os: Write code to fork a child process that logs to a file." AI response: Generate and explain: pid_t pid = fork(); if (pid == 0) {int fd = open("log.txt", O_WRONLY|O_CREAT, 0644); write(fd, "Log entry", 9); close(fd);} else {waitpid(pid, NULL, 0);} Then, advise testing with ./program on Linux.
  2. Usage: User queries virtual memory for a cache. Invoke: "cs-os: Explain CFS and code for mapping memory." AI response: "CFS uses vruntime for scheduling; here's memory mapping: void *cache = mmap(NULL, 8192, PROT_READ|PROT_WRITE, MAP_SHARED|MAP_ANONYMOUS, -1, 0); if (munmap(cache, 8192) == -1) perror('Unmap failed');" Follow with: Compile and run to verify no segmentation faults.

Graph Relationships

  • Related to cluster: computer-science
  • Shares tags: os, processes, memory, filesystems, cs, ipc, syscall, posix
  • Connected skills: cs-networking (via IPC sockets), cs-algorithms (via scheduling simulations)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.35%
按下载量换算47

Claude

28.02%
按下载量换算37

Cursor

20.58%
按下载量换算27

Gemini CLI

10.25%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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