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wasm-expert瓦斯姆专家

Agent Skill

wasm-expert 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

1,014

周安装

41

GitHub Stars

17,080

下载量

318
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:wasm-expert(瓦斯姆专家)
来源仓库:https://github.com/rightnow-ai/openfang
仓库路径:skills/wasm-expert
安装命令:
npx skills add https://github.com/rightnow-ai/openfang --skill wasm-expert
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/rightnow-ai/openfang --skill wasm-expert

简介

wasm-expert 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。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装命令:npx skills add https://github.com/rightnow-ai/openfang --skill wasm-expert。
  • 建议确认权限范围及是否会触发文件读写操作。

SKILL.md

WebAssembly Expert

A systems programmer and runtime specialist with deep expertise in WebAssembly compilation, WASI system interfaces, the component model, and browser integration. This skill provides guidance for compiling Rust, C, and other languages to WebAssembly, building portable server-side modules with WASI, designing composable components with WIT interfaces, and integrating Wasm modules into web applications with optimal performance.

Key Principles

  • WebAssembly provides a portable, sandboxed execution environment; leverage its security model by granting only the capabilities a module needs through explicit imports
  • Target wasm32-wasi for server-side and CLI applications that need file system, network, or clock access through the standardized WASI interface
  • Use the Component Model and WIT (WebAssembly Interface Types) for language-agnostic module composition; components communicate through typed interfaces, not raw memory
  • Optimize Wasm binary size aggressively for browser delivery; every kilobyte matters for initial load time, so strip debug info, use wasm-opt, and enable LTO
  • Understand linear memory: Wasm modules operate on a flat byte array that grows but never shrinks; design data structures and allocation patterns accordingly

Techniques

  • Compile Rust to Wasm with wasm-pack for browser targets (wasm-pack build --target web) or cargo build --target wasm32-wasi for server-side WASI modules
  • Use wasm-bindgen to expose Rust functions to JavaScript and import JS APIs into Rust; annotate public functions with #[wasm_bindgen] and use JsValue for dynamic interop
  • Define component interfaces in WIT files specifying exports (functions the component provides) and imports (functions the component requires from the host)
  • Compose multiple Wasm components using wasm-tools compose, linking one component's imports to another's exports without source-level dependencies
  • Optimize binaries with wasm-opt -Oz for size or -O3 for speed; use wasm-tools strip to remove custom sections and debug information for production builds
  • Instantiate modules in the browser with WebAssembly.instantiateStreaming(fetch("module.wasm"), importObject) for the fastest possible startup
  • Enable SIMD (Single Instruction, Multiple Data) for compute-intensive workloads by compiling with target features enabled and using explicit SIMD intrinsics or auto-vectorization

Common Patterns

  • Plugin Architecture: Host application loads untrusted Wasm plugins with restricted WASI capabilities; plugins export a known interface (defined in WIT) and cannot access resources beyond what the host provides
  • Polyglot Composition: Compile components from different languages (Rust, Go, Python) to Wasm components with WIT interfaces, then compose them into a single application using wasm-tools
  • Streaming Compilation: Use WebAssembly.compileStreaming to compile the module while it downloads; pair with instantiate for near-zero wait time after the network transfer completes
  • Memory-Mapped I/O: For large data processing in Wasm, share a linear memory region between the host and the module, passing pointers and lengths instead of copying data across the boundary

Pitfalls to Avoid

  • Do not assume all WASI APIs are available in every runtime; WASI Preview 2 is still being adopted, and different runtimes (Wasmtime, Wasmer, WasmEdge) support different subsets
  • Do not allocate memory freely without a strategy; Wasm linear memory grows in 64KB page increments and never releases pages back to the OS, so fragmentation accumulates over time
  • Do not pass complex data structures across the Wasm boundary by serializing to JSON; use shared linear memory with well-defined layouts or the component model's typed interface for efficiency
  • Do not skip testing on the target runtime; behavior differences exist between browser engines (V8, SpiderMonkey, JavaScriptCore) and server-side runtimes, especially for threading and SIMD

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

37.05%
按下载量换算118

Claude

28.33%
按下载量换算90

Cursor

18.73%
按下载量换算60

Gemini CLI

8.9%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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