Token导航 LogoToken导航TokenDH.com
开发执行命令github未标认证来源可访问许可证需确认审计提醒

ralphmoderalphmode 命令行

Agent Skill

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。

总安装

576

周安装

24

GitHub Stars

11

下载量

192
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:ralphmode(ralphmode 命令行)
来源仓库:https://github.com/akillness/skills-template
仓库路径:skills/ralphmode
安装命令:
npx skills add https://github.com/akillness/skills-template --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/skills-template --skill ralphmode

简介

ralphmode 提供跨平台的权限配置,适用于长期运行的自动化流程。

  • 适合在 Claude Code、Codex CLI 等环境中减少重复审批弹窗。
  • 核心原则是限制自动化范围至项目内或沙箱环境,禁止敏感操作。
  • 安装命令:npx skills add https://github.com/akillness/skills-template --skill ralphmode
  • 默认不读取 secrets 或执行破坏性命令,需显式授权高风险操作

SKILL.md

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.

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 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: Run Ralph with an explicit verification loop

After permissions 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 -> permission profile -> ralph run -> verify -> cleanup or revert

Step 5: 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 6: 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

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

34.64%
按下载量换算67

Claude

33.4%
按下载量换算64

Cursor

18.17%
按下载量换算35

Gemini CLI

9.68%
按下载量换算19

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

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/skills-template --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 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