Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计异常

ralphRalph 助手

Agent Skill

ralph 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

927

周安装

39

GitHub Stars

81

下载量

324
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:ralph(Ralph 助手)
来源仓库:https://github.com/thecraighewitt/skills
仓库路径:skills/ralph
安装命令:
npx skills add https://github.com/thecraighewitt/skills --skill ralph
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/thecraighewitt/skills --skill ralph

简介

ralph 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。

  • 它适用于 Ralph 助手相关功能研究,可结合来源仓库和原始 README 核验具体用法。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前建议确认权限范围和维护状态,避免触发不必要的联网或文件操作。
  • ralph 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

RALPH — Autonomous PRD Implementation

RALPH (Repeated Autonomous Loop for PRD Handling) implements a PRD stored as GitHub issues — autonomously, with TDD, and a code review gate after every iteration.

The Pipeline

This skill is the execution engine for a 4-step coding workflow:

StepCommandWhat It Does
1/grill-meStress-test your idea with relentless questions before building
2/write-a-prdTurn the idea into an engineering spec (PRD) as a GitHub issue
3/prd-to-issuesBreak the PRD into vertical-slice sub-issues with dependencies
4/ralphImplement each sub-issue autonomously with TDD + code review

Steps 1-3 use skills from Matt Pocock. Install them:

npx skills@latest add mattpocock/skills -s grill-me
npx skills@latest add mattpocock/skills -s write-a-prd
npx skills@latest add mattpocock/skills -s prd-to-issues

Setup

After installing this skill, copy the RALPH scripts to your project root:

mkdir -p ralph
cp .agents/skills/ralph/afk-ralph.sh ralph/
cp .agents/skills/ralph/ralph-once.sh ralph/
cp .agents/skills/ralph/prompt.md ralph/
cp .agents/skills/ralph/review-prompt.md ralph/
chmod +x ralph/*.sh

Requirements

Usage

/ralph <issue-number> — Human-in-the-loop (start here)

./ralph/ralph-once.sh 42

Implements one sub-issue from PRD #42, then stops for your review. Run again for the next one. Recommended for your first few iterations.

/ralph <issue-number> afk [max-iterations] — Autonomous

./ralph/afk-ralph.sh 42 20

Runs up to 20 iterations inside a Docker sandbox. Each iteration: implement one sub-issue, run tests, commit, code review, close issue. When all sub-issues are done, pushes the branch and opens a PR.

Instructions

When the user invokes this skill:

  1. Parse arguments: first is the PRD issue number (required), second is mode (once or afk, default once), third is max iterations for afk mode (default 20)
  2. If no issue number is provided, ask for it
  3. Verify ralph/ directory exists at the project root. If not, guide the user through setup (copy scripts from .agents/skills/ralph/)
  4. For once mode (default): ./ralph/ralph-once.sh <issue-number>
  5. For afk mode: ./ralph/afk-ralph.sh <issue-number> <max-iterations>
  6. Report the result when complete

How It Works

  1. Scripts fetch the PRD issue and all sub-issues via gh CLI
  2. Sub-issues are found by searching for Parent PRD #<number> in their body
  3. Each iteration: Claude picks one open, unblocked sub-issue and implements it using TDD
  4. Tests must pass before every commit (auto-detected from project config)
  5. After committing, a code review gate checks for bugs, logic errors, security issues, and architecture violations
  6. Claude closes the sub-issue on GitHub with a comment linking the commit
  7. Loop continues until all sub-issues are closed

Sub-Issue Format

Sub-issues created by /prd-to-issues follow this format:

## Parent PRD
#42

## What to build
Description of the work...

## Acceptance criteria
- [ ] Criterion 1
- [ ] Criterion 2

## Blocked by
- #43

Tips

  • Start with /ralph (once mode). Validate the first iteration before going AFK.
  • Keep sub-issues small. One logical change per sub-issue prevents context rot.
  • Use /grill-me first. The more you think before coding, the better RALPH performs.
  • Use blocked-by. Declare dependencies so RALPH works in the right order.

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

36.35%
按下载量换算118

Claude

31.75%
按下载量换算103

Cursor

20.08%
按下载量换算65

Gemini CLI

9.27%
按下载量换算30

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills