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port-c-module端口 C 模块

Agent Skill

port-c-module 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

1,248

周安装

52

GitHub Stars

6,108

下载量

416
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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:port-c-module(端口 C 模块)
来源仓库:https://github.com/redisearch/redisearch
仓库路径:skills/port-c-module
安装命令:
npx skills add https://github.com/redisearch/redisearch --skill port-c-module
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/redisearch/redisearch --skill port-c-module

简介

port-c-module 用于查找、检索和筛选相关信息,适合根据关键词或任务场景快速定位候选结果。

  • 它能帮助 Agent 组织信息线索或缩小搜索范围,使用时需明确查询目标和筛选条件。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 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操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Port Module Skill

Guide for porting a C module to Rust.

Arguments

The module name to port should be provided as an argument (e.g., /port-module triemap).

Module to port: $ARGUMENTS

Usage

Use this skill when starting to port a C module to Rust.

Instructions

1. Analyze the C Code

First, understand the C module you're porting (look for $ARGUMENTS.c and $ARGUMENTS.h in src/):

  • Read the .c and .h files in src/
  • Identify what is exposed by the header file:

- Does the rest of the codebase have access to the inner fields of the data structures defined in this module? - Are types always passed by value or by reference? A mix? - Can the corresponding Rust types be passed over the FFI boundary?

  • Understand data structures and their lifetimes
  • Identify which types and functions this module imports from other modules:

- Determine if those types are implemented in Rust or C - If those types are implemented in Rust, identify the relevant Rust crate - If those types are implemented in C, understand if it makes sense to port them first to Rust or if it's preferable to invoke the C implementation from Rust via FFI

  • Note any global state or Redis module interactions
  • Identify which tests under tests/ are relevant to this module

2. Define A Porting Plan

Create a $ARGUMENTS_plan.md file to outline the steps and decisions for porting the module. Determine if the C code should be modified, at this stage, to ease the porting process. For example:

  • Introduce getters and setters to avoid exposing inner fields of data structures defined in this module.
  • Split the module into smaller, more manageable parts.

3. Create the Rust Crate

cd src/redisearch_rs
cargo new $ARGUMENTS --lib

4. Implement Pure Rust Logic

  • Create idiomatic Rust code
  • Add comprehensive tests

- Ensure that all C/C++ tests have equivalent Rust tests

  • Document public APIs with doc comments
  • For performance sensitive code, create microbenchmarks using criterion
  • Use proptest for property-based testing where appropriate
  • Testing code should be written with the same care reserved to production code

5. Compare Rust API with C API

  • Review the public API of the new Rust module against the C API in the header file
  • Ensure that differences can be bridged by adding appropriate wrappers or adapters
  • Go back to step 1 if discovered differences cannot be bridged without a re-design

6. Create FFI Wrapper

Create an FFI crate to expose the new Rust module to the C codebase:

cd src/redisearch_rs/c_entrypoint
cargo new ${ARGUMENTS}_ffi --lib

FFI crate should:

  • Expose #[unsafe(no_mangle)] pub extern "C" fn functions
  • Handle null pointers and error cases
  • Convert between C and Rust types safely
  • Document all unsafe blocks with // SAFETY: comments

7. Wire Up C Code

  • Delete the C header file and its implementation
  • Update the rest of the C codebase to import the new Rust header wherever the old C header was used

C header files for Rust FFI crates are auto-generated. No need to use their full path in imports, use just their name (e.g. #include $ARGUMENTS.h; for ${ARGUMENTS}_ffi)

8. Test The Integration

./build.sh RUN_UNIT_TESTS               # C/C++ unit tests
./build.sh RUN_PYTEST                   # Integration tests

Example: Well-Ported Module

See src/redisearch_rs/trie_rs/ for a high-quality example:

  • Pure Rust implementation with comprehensive docs
  • Extensive test coverage
  • Clean FFI boundary in c_entrypoint/trie_ffi/

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

Claude

33.61%
按下载量换算140

Codex

32.87%
按下载量换算137

Cursor

17.81%
按下载量换算74

Gemini CLI

9.86%
按下载量换算41

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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