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Agent Skill · 开发

ralphmode(ralphmode 命令行)

ralphmode 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。

ralphmode 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 11,967。

总安装 1,498周安装 60GitHub Stars 11下载 485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:ralphmode(ralphmode 命令行)
来源仓库:https://github.com/akillness/oh-my-skills
仓库路径:skills/ralphmode
安装命令:
npx skills add https://github.com/akillness/oh-my-skills --skill ralphmode
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 ralphmode

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

ralphmode 为 ralph 和 jeo 工作流提供跨平台权限配置文件,降低重复审批成本。核心原则是在限定项目范围内放宽自动化权限,同时严格限制 secrets 读取和破坏性命令。支持 Claude Code、Codex CLI 等多平台共享同一安全模型。部署前必须明确项目边界,禁止全局授权以免引发安全风险。

ralphmode 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/ralphmode

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 ralphmode;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

    它需要执行命令,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

ralphmode 怎么安装?

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

ralphmode 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。

ralphmode 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/akillness/oh-my-skills --skill ralphmode 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

ralphmode 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。

ralphmode 用的人多吗?

公开数据是累计安装 1,498 次,近一周安装 60 次,下载 485 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。

ralphmode 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
ralphmode

ralphmode 命令行 · 本页

1,49811执行命令未明确未通过

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

Ralphmode

Ralphmode is a cross-platform permission profile for long-running ralph or jeo workflows. It reduces approval friction, but it is not "allow everything everywhere." The core rule is simple: widen automation only inside a bounded project or disposable sandbox, and keep secrets plus destructive commands explicitly blocked.

When to use this skill

  • You want ralph to iterate without repeated approval popups.
  • You are setting up the same repo for Claude Code, Codex CLI, and Gemini CLI.
  • You need a shared safety model: repo-only writes, no secrets reads, no destructive shell by default.
  • You want a stronger separation between day-to-day automation and true YOLO mode.
  • You need one portable mental model for vendor-specific permission features: settings, rules, and hooks.

Portable mental model

Treat each platform as three layers:

  • Settings — choose the default repo-safe preset versus sandbox-only YOLO preset.
  • Rules — define the boundary: repo-only writes, secret/path denylist, and Tier 1 checkpoint conditions.
  • Hooks — enforce dangerous-edge behavior when the platform supports pre-tool interception; otherwise fall back to approval policy plus prompt contracts.

If you keep those layers separate, the profile stays portable even when vendor syntax changes.

Instructions

Step 1: Define the automation boundary first

Before changing any permission mode:

  • Pick one project root and keep automation scoped there.
  • List files and commands that must stay blocked: .env*, secrets/**, production credentials, rm -rf, sudo, unchecked curl | sh.
  • Decide whether this is a normal repo or a disposable sandbox.

If the answer is "disposable sandbox," you may use the platform's highest-autonomy mode. If not, use the repo-scoped preset instead.

Step 2: Choose one settings preset per platform

Use only the section that matches the current tool:

  • Claude Code: everyday preset first, bypassPermissions only for isolated sandboxes.
  • Codex CLI: use the current official approval and sandbox model first; treat older permissions.allow and permissions.deny snippets as compatibility-only.
  • Gemini CLI: trust only the project root; there is no true global YOLO mode.

Detailed templates live in references/permission-profiles.md.

Step 3: Apply the profile locally, not globally, unless the workspace is disposable

Prefer project-local configuration over user-global defaults.

  • Claude Code: start with project .claude/settings.json.
  • Codex CLI: start with project config and repo instructions or rules files.
  • Gemini CLI: trust the current folder, not ~/ or broad parent directories.

If you must use a user-global default, pair it with a stricter denylist and a sandbox boundary.

Step 4: Write the rules layer separately from the preset

Do not hide all safety logic inside the settings file alone. Record the shared rules in repo instructions, team docs, or the hook script itself:

  • repo-only mutation scope
  • secret/path denylist (.env*, secrets/**, credential files)
  • Tier 1 commands that always require a checkpoint (rm -rf, force-push, destructive DB commands, sudo)
  • when to stop and output CHECKPOINT_NEEDED: <reason>

This matters most on platforms where hooks are weak or absent, because the rules layer becomes the durable fallback.

Step 5: Run Ralph with an explicit verification loop

After settings and rules are configured:

  1. Confirm the task and acceptance criteria.
  2. Run ralph or the jeo plan-execute-verify loop.
  3. Verify outputs before claiming completion.
  4. If the automation profile was temporary, revert it after the run.

Recommended execution contract:

boundary check -> settings preset -> rules contract -> ralph run -> verify -> cleanup or revert

Step 6: Keep "skip" and "safe" separate

Treat these as different modes:

  • Repo automation: minimal prompts inside a bounded workspace.
  • Sandbox YOLO: promptless execution in a disposable environment only.

Do not collapse them into one shared team default.

Step 7: Configure Mid-Execution Approval Checkpoints

Static permission profiles (Steps 2–3) reduce friction before a run starts, but they do not stop dangerous operations that arise during execution. Add dynamic checkpoints so that Tier 1 actions are blocked or flagged at the moment they are attempted.

Dangerous operation tiers
TierActionPlatform response
Tier 1 (always block)rm -rf, git reset --hard, git push --force, DROP TABLE, sudo, .env*/secrets/** access, production environment changesBlock immediately, require explicit user approval
Tier 2 (warn)npm publish, docker push, git push (non-force), DB migrationsOutput warning, continue only with confirmation
Tier 3 (allow)File reads/edits, tests, local builds, lintAllow automatically
Platform checkpoint mechanisms
PlatformHookBlockingRecommended pattern
Claude CodePreToolUse (Bash)Yes — exit 2Shell script pattern-matches command; blocks Tier 1
Gemini CLIBeforeToolYes — non-zero exitShell script blocks tool; stderr fed to next turn
Codex CLInotify (post-turn)Noapproval_policy="unless-allow-listed" + prompt contract
OpenCodeNoneNoPrompt contract in opencode.json instructions

Principle: Combine static profiles (Steps 2–3) with dynamic checkpoints (this step).

  • Platforms with pre-tool hooks (Claude Code, Gemini): use the hook script.
  • Platforms without (Codex, OpenCode): rely on approval_policy and explicit prompt contracts that instruct the agent to output CHECKPOINT_NEEDED: <reason> and wait before proceeding with Tier 1 actions.

See references/permission-profiles.md for full hook script templates per platform.

Examples

Example 1: Claude Code sandbox run

Use the Claude sandbox preset from references/permission-profiles.md, then run Ralph only inside that isolated repo:

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

Example 2: Codex CLI sandbox Ralph run

For sandbox ralph runs, use the CLI flags directly:

codex -c model_reasoning_effort="high" --dangerously-bypass-approvals-and-sandbox -c model_reasoning_summary="detailed" -c model_supports_reasoning_summaries=true

For repo-scoped (non-sandbox) runs, use the config file approach from references/permission-profiles.md:

approval_policy = "never"
sandbox_mode = "workspace-write"

Place this in ~/.codex/config.toml (or a project-local override) and restart Codex before running Ralph.

Example 3: Gemini CLI sandbox or trust-only setup

For sandbox ralph runs, use --yolo mode:

gemini --yolo

For normal repo automation, trust the current project folder with explicit file selection and run the Ralph workflow for that repo only. See references/permission-profiles.md for details.

Best practices

  • Default to the least-permissive preset that still lets Ralph finish end-to-end.
  • Keep secret denylists and destructive command denylists even when approvals are reduced.
  • Use full bypass only in disposable environments with a clear project boundary.
  • Record which preset was applied so teammates can reproduce or revert it.
  • Re-check platform docs when upgrading CLI versions because permission models change faster than skill content.

References

平台分布

Codex

33.83%
按下载量换算164

Claude

30.18%
按下载量换算146

Cursor

18.16%
按下载量换算88

Gemini CLI

8.6%
按下载量换算42

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/akillness/oh-my-skills --skill ralphmode 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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