Token导航 LogoToken导航

Agent Skill · 待分类

memory-model(记忆模型)

memory-model 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。

memory-model 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 1,760。

总安装 2,351周安装 97GitHub Stars 80下载 768核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:memory-model(记忆模型)
来源仓库:https://github.com/mohitmishra786/low-level-dev-skills
仓库路径:skills/memory-model
安装命令:
npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill memory-model
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/mohitmishra786/low-level-dev-skills --skill memory-model

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

memory-model 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态、代码变更或协作事项进行整理。它适用于待分类任务,可帮助 Agent 建立项目模型或理解协作结构。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法和功能边界。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操作。使用时需注意该技能当前分类为待分类,功能边界尚不明确。

来源仓库内路径:skills/memory-model

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill me…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

memory-model 怎么安装?

在终端执行 npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill memory-model。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

memory-model 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

memory-model 需要什么权限?

权限级别是需要联网。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。

memory-model 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

memory-model 用的人多吗?

公开数据是累计安装 2,351 次,近一周安装 97 次,下载 768 次,GitHub 80 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

memory-model 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
memory-model

记忆模型 · 本页

2,35180需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Memory Model

Purpose

Guide agents through C++ and Rust memory models: memory orderings, the happens-before relation, atomic operations, fences, and practical patterns for lock-free data structures.

Triggers

  • "What is the C++ memory model?"
  • "What memory order should I use for my atomic operation?"
  • "What is the difference between acquire-release and seq_cst?"
  • "How do I use std::atomic in C++?"
  • "What is acquire/release in Rust atomics?"
  • "How do I implement a lock-free queue?"

Workflow

1. Memory ordering overview

Modern CPUs and compilers reorder operations for performance. The memory model specifies what reorderings are allowed and how synchronisation is achieved.

Ordering strength (weakest to strongest):
Relaxed < Release/Acquire < AcqRel < SeqCst

Stronger ordering = more synchronization = more correct, but slower
Weaker ordering  = fewer barriers = faster, but needs careful analysis

2. Memory orderings

OrderC++RustWhat it means
Relaxedmemory_order_relaxedOrdering::RelaxedNo ordering guarantee; just atomicity
Consumememory_order_consume(use Acquire)Data dependency ordering
Acquirememory_order_acquireOrdering::AcquireThis load sees all writes before the matching release
Releasememory_order_releaseOrdering::ReleaseAll writes before this store are visible to acquire
AcqRelmemory_order_acq_relOrdering::AcqRelBoth acquire and release on RMW ops
SeqCstmemory_order_seq_cstOrdering::SeqCstTotal order across all seq_cst operations

3. C++ std::atomic

#include <atomic>
#include <thread>

std::atomic<int> counter{0};
std::atomic<bool> ready{false};

// Producer thread
void producer() {
    data = 42;                              // (1) write data
    ready.store(true, std::memory_order_release);  // (2) signal
}

// Consumer thread
void consumer() {
    while (!ready.load(std::memory_order_acquire));  // (3) wait
    assert(data == 42);                              // (4) guaranteed to see (1)
}

Acquire-release guarantees: if thread A does a release store to X, and thread B does an acquire load that sees A's value, then all writes by A before the release are visible to B after the acquire.

4. Choosing the right ordering

Use case?
├── Counter (just needs atomicity, order irrelevant)    → Relaxed
├── Reference counting (decrement + final check)        → AcqRel (dec), Acquire (load 0 check)
├── Publish data from one thread to another             → Release (store), Acquire (load)
├── Mutual exclusion / mutex implementation             → AcqRel / SeqCst
├── Lock-free queue multiple producers/consumers        → SeqCst (safest to start)
└── Sequence number check (simple flag)                 → Release + Acquire

5. Common patterns

// Pattern 1: Spinlock
class Spinlock {
    std::atomic_flag flag = ATOMIC_FLAG_INIT;
public:
    void lock() {
        while (flag.test_and_set(std::memory_order_acquire))
            ; // spin
    }
    void unlock() {
        flag.clear(std::memory_order_release);
    }
};

// Pattern 2: Reference counting
class RefCounted {
    std::atomic<int> refcount{1};
public:
    void addref() {
        refcount.fetch_add(1, std::memory_order_relaxed);  // only need atomicity
    }
    void release() {
        if (refcount.fetch_sub(1, std::memory_order_acq_rel) == 1) {
            // AcqRel ensures we see all writes from other releasers
            delete this;
        }
    }
};

// Pattern 3: One-time initialisation
class LazyInit {
    std::atomic<void*> ptr{nullptr};
    std::mutex mtx;
public:
    void* get() {
        void* p = ptr.load(std::memory_order_acquire);
        if (p == nullptr) {
            std::lock_guard lock(mtx);
            p = ptr.load(std::memory_order_relaxed);
            if (p == nullptr) {
                p = create();
                ptr.store(p, std::memory_order_release);
            }
        }
        return p;
    }
};

6. Rust atomics

use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering};
use std::sync::Arc;

// Simple counter
let counter = Arc::new(AtomicUsize::new(0));

// Increment
counter.fetch_add(1, Ordering::Relaxed);

// Read
let val = counter.load(Ordering::Relaxed);

// Publish/subscribe pattern
static READY: AtomicBool = AtomicBool::new(false);

// Publisher thread
unsafe { DATA = 42; }  // Write data
READY.store(true, Ordering::Release);  // Signal

// Subscriber thread
while !READY.load(Ordering::Acquire) {}
let d = unsafe { DATA };  // Safe: guaranteed to see publisher's write

7. Fences

Fences provide ordering without an atomic operation on a specific variable:

// C++ fence — equivalent to a global memory barrier
std::atomic_thread_fence(std::memory_order_acquire);  // Acquire fence
std::atomic_thread_fence(std::memory_order_release);  // Release fence

// Typical use: multiple atomic writes then one fence
relaxed_atomic_a.store(1, std::memory_order_relaxed);
relaxed_atomic_b.store(2, std::memory_order_relaxed);
std::atomic_thread_fence(std::memory_order_release);  // barrier for all above
sentinel.store(true, std::memory_order_relaxed);

8. Common mistakes

MistakeFix
Using Relaxed for publish/subscribeUse Release on store, Acquire on load
Using SeqCst everywhereProfile first; use weakest correct ordering
Forgetting that non-atomic loads are not atomicAll shared mutable data needs atomic or mutex
Using volatile for thread safety in C++volatile is not a memory ordering tool; use atomic
Assuming sequential consistency without SeqCstEach platform has different default consistency

For memory ordering rules and happens-before reference, see references/cpp-memory-ordering.md.

Related skills

  • Use skills/runtimes/sanitizers — TSan detects data races involving non-atomic accesses
  • Use skills/rust/rust-sanitizers-miri for detecting Rust memory ordering violations with Miri
  • Use skills/low-level-programming/assembly-x86 to understand generated fence instructions
  • Use skills/debuggers/gdb for debugging concurrent programs with thread inspection

平台分布

Codex

35.25%
按下载量换算271

Claude

30.41%
按下载量换算234

Cursor

20.33%
按下载量换算156

Gemini CLI

9.99%
按下载量换算77

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills