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Agent Skill · 研究检索

ralph(Ralph 助手)

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。

ralph 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,909。

总安装 1,493周安装 61GitHub Stars 11下载 483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:ralph(Ralph 助手)
来源仓库:https://github.com/akillness/oh-my-skills
仓库路径:skills/ralph
安装命令:
npx skills add https://github.com/akillness/oh-my-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/akillness/oh-my-skills --skill ralph

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

ralph 是规格优先开发方法的核心工具,推动从模糊需求到可执行契约的转化过程。适用于访谈、种子设计、执行验证到演进迭代的完整闭环管理。强调持续交付直至验证通过,避免过度依赖提示词工程。需配合其他运行时技能使用,注意权限隔离与安全策略配置。ralph 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/ralph

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/akillness/oh-my-skills --skill ralph;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

    它需要操作浏览器,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

ralph 怎么安装?

在终端执行 npx skills add https://github.com/akillness/oh-my-skills --skill ralph。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ralph 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。

ralph 需要什么权限?

权限级别是操作浏览器。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。

ralph 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。

ralph 用的人多吗?

公开数据是累计安装 1,493 次,近一周安装 61 次,下载 483 次,GitHub 11 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。

ralph 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ralph

Ralph 助手 · 本页

1,49311操作浏览器未明确有提醒

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

ralph — Specification-First Development + Persistent Completion

Stop prompting. Start specifying.

ralph is the portable method contract for the Ouroboros loop:

Interview → Seed → Execute → Evaluate → Evolve
                     ↓
                 ooo ralph
             (persist until verified)

Keep ralph focused on that contract. Runtime-specific execution belongs to sibling skills:

  • omc — Claude-native orchestration
  • omx — Codex-native orchestration
  • ohmg — Gemini / Antigravity harness projection
  • jeo — integrated delivery ledger and review loop
  • ralphmode — approvals / sandbox / trust posture

When to use this skill

  • The user has a vague request and needs a Socratic interview before code is written.
  • Requirements should become an immutable seed/spec before implementation starts.
  • The task needs a verify-before-done loop instead of a one-shot answer.
  • The user wants to keep going until completion is actually verified.
  • You need to measure drift against the original contract.
  • Repeated failures mean you need a structured unstuck step instead of more blind retries.

Do not use this skill when

  • The task is mainly about Claude / Codex / Gemini runtime setup or platform commands → route to omc, omx, or ohmg.
  • The main problem is permission posture, approvals, trust folders, or YOLO mode → route to ralphmode.
  • The user needs integrated project ledgers, plan review, browser verification, and cleanup workflow → route to jeo.
  • The task is only pre-implementation landscape research → route to survey.

Instructions

Follow the phases in order unless the user explicitly asks for a narrower command such as ooo interview, ooo evaluate, or ooo unstuck. Keep ralph as the method anchor, then route platform-native runtime details outward when the request turns into Claude / Codex / Gemini-specific setup or execution policy.

Core contract

1. Interview

Ask questions until ambiguity is low enough to act.

Use when the user is unclear, underspecified, or mixing goals, constraints, and success criteria.

ooo interview "build a task management CLI"

Ambiguity gate

  • Greenfield: Goal 40% + Constraints 30% + Success 30%
  • Brownfield: Goal 35% + Constraints 25% + Success 25% + Context 15%
  • Do not move to seed until Ambiguity ≤ 0.2.

2. Seed

Freeze the clarified request into an immutable spec.

ooo seed

The seed should lock:

  • goal
  • constraints
  • acceptance criteria
  • ontology / core object model

Once generated, the seed becomes the baseline for drift checks.

3. Execute

Run the work against the seed instead of improvising from chat drift.

ooo run [seed.yaml]

Default execution shape:

  1. Discover
  2. Define
  3. Design
  4. Deliver

4. Evaluate

Verify before claiming success.

ooo evaluate <session_id>

Use the three-stage gate:

  • Mechanical — lint, tests, build, typecheck, coverage
  • Semantic — acceptance criteria and goal alignment
  • Consensus — optional multi-model or reviewer agreement when needed

Drift thresholds

  • 0.00–0.15 excellent
  • 0.15–0.30 acceptable but watch closely
  • 0.30+ correct course before continuing

5. Evolve

Use when the ontology or solution shape is still changing.

ooo evolve "topic"
ooo evolve "topic" --no-execute

Stop when repeated generations converge strongly enough to count as stable.

6. Persistent completion (ooo ralph)

Use when the user wants a loop that should continue until completion is verified.

ooo ralph "fix all failing tests"
ooo ralph "implement the payment module"

The loop contract is:

  1. execute
  2. verify
  3. record failure evidence
  4. adjust
  5. continue until verified or capped

Keep the stopping rule explicit. A completion promise such as <promise>DONE</promise> is a useful runtime-level signal, but the real rule is verified completion, not merely emitting the token.

Unstuck mode

When repeated attempts are failing, route to a deliberate mindset instead of retrying blindly.

ooo unstuck
ooo unstuck simplifier
ooo unstuck hacker
ooo unstuck contrarian
ooo unstuck researcher
ooo unstuck architect

Quick routing guide:

  • repeated similar failures → contrarian
  • too many options / paralysis → simplifier
  • missing evidence → researcher
  • need momentum → hacker
  • wrong foundation → architect

Operating rules

  1. Clarify before coding when ambiguity is still high.
  2. Freeze the seed before implementation; do not rewrite the contract mid-run.
  3. Measure drift against the original seed, not against the latest rationale.
  4. Verify before done — tests, checks, and acceptance criteria matter more than confidence.
  5. Treat failure as data — every failed loop should feed the next attempt.
  6. Keep runtime ownership separate — platform hooks, approvals, trust settings, and shell-specific commands belong in runtime docs and sibling skills.
  7. Prefer the live local skill path in setup examples: .agent-skills/ralph/....

Platform boundary

ralph is runtime-agnostic on purpose. It should describe what the loop needs, not every platform's syntax.

  • Claude Code can supply rich native hooks and orchestration through omc.
  • Codex now has native experimental hooks plus .rules, sandbox, and approval controls, but concrete Codex runtime guidance still belongs in omx and the platform references.
  • Gemini supports hook-based continuation and trust-folder controls; concrete setup belongs in ohmg and the platform references.
  • ralphmode owns safety posture, not ralph.

See references/runtime-boundaries.md and references/platform-setup.md.

Examples

Example 1: clarify first

ooo interview "build a task management CLI"

Example 2: persistent verified loop

ooo ralph "fix all failing tests" --max-iterations=10

Example 3: local helper setup

bash .agent-skills/ralph/scripts/setup-codex-hook.sh
bash .agent-skills/ralph/scripts/setup-gemini-hook.sh

Available scripts

ScriptPurpose
scripts/setup-codex-hook.shInstall the current local Codex fallback helpers (developer_instructions + prompt scaffolding)
scripts/setup-gemini-hook.shInstall the local Gemini AfterAgent helper path
scripts/ooo-state.shInspect / reset local .omc/state/ralph-ooo-state.json helper state

Best practices

  1. Keep ralph as the method anchor, not a catch-all platform runtime wrapper.
  2. Pair long-running runs with explicit repo-local verification commands.
  3. Route runtime shells and orchestration depth outward instead of duplicating them here.
  4. Update compact/catalog/doc surfaces whenever the trigger surface changes materially.
  5. If a runtime doc drifts from current official docs, correct the runtime reference instead of bloating this front door.

References

  • references/ouroboros-commands.md — command syntax, parameters, and state concepts
  • references/nine-minds.md — the nine persona roles and unstuck routing
  • references/platform-setup.md — platform-specific local setup and current fallback guidance
  • references/runtime-boundaries.md — settings / rules / hooks split and sibling-skill ownership

Source: Q00/ouroboros — MIT License

平台分布

Codex

35.38%
按下载量换算171

Claude

28.7%
按下载量换算139

Cursor

19.37%
按下载量换算94

Gemini CLI

8.21%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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