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Agent Skill · 开发

orca(orca 命令行)

orca 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。

orca 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,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 15,006。

总安装 636周安装 26GitHub Stars 1下载 204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:orca(orca 命令行)
来源仓库:https://github.com/araa47/orca
仓库路径:skills/orca
安装命令:
npx skills add https://github.com/araa47/orca --skill orca
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/araa47/orca --skill orca

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。

orca 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 中围绕仓库状态、代码变更或协作事项进行整理。通过 orca CLI 命令操作,无需 tmux 知识,支持多宿主环境集成。

安装前需确认权限范围、维护状态及是否触发联网或文件读写操作。建议结合来源仓库和原始 README 核验具体用法与配置细节。

来源仓库内路径:skills/orca

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/araa47/orca --skill orca;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

orca 怎么安装?

在终端执行 npx skills add https://github.com/araa47/orca --skill orca。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

orca 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。

orca 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/araa47/orca --skill orca 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。

orca 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。

orca 用的人多吗?

公开数据是累计安装 636 次,近一周安装 26 次,下载 204 次,GitHub 1 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。

orca 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

  • 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
orca

orca 命令行 · 本页

6361执行命令未明确有提醒

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

Orca — Agent Orchestrator

One-time setup: see references/SETUP.md if orca is not already on your PATH.

You are the orchestrator. Use the orca CLI below. You never need tmux knowledge.

Identify yourself

Before using Orca, determine which agent you are and jump to your section:

You are…Jump to--spawned-by
OpenClawOpenClaw instructionsopenclaw
Claude CodeClaude Code instructions$ORCA_WORKER_NAME (if set), or self (if L0)
CodexCodex instructions$ORCA_WORKER_NAME (if set), or self (if L0)
CursorCursor instructions$ORCA_WORKER_NAME (if set), or self (if L0)

--spawned-by rules

Every orca spawn must include --spawned-by so the daemon knows parent → child links and where to route notifications.

OpenClaw (L0 orchestrator):

  • --spawned-by openclaw — OpenClaw is the only true L0 orchestrator. It lives outside tmux and receives notifications via openclaw system event.

cc / cx / cu (always in tmux):

  • Check ORCA_WORKER_NAME in your environment.

- If set: you are a worker — --spawned-by "$ORCA_WORKER_NAME" (the plain name from orca list, e.g. fin, mud), NOT the emoji label, NOT openclaw. - If not set: you are the L0 orchestrator — --spawned-by self. Orca auto-detects or generates your L0 pane name.

Workers spawning sub-workers:

  • Same rule: --spawned-by <your-worker-name> from ORCA_WORKER_NAME or orca list.

OpenClaw (L0 orchestrator)

You are an OpenClaw agent — the only true L0 orchestrator. Notifications go via openclaw system event, not tmux. The user only sees results if you route them explicitly via openclaw message send.

orca spawn "fix the login bug" -b cc -d ~/proj --orchestrator openclaw \
  --reply-channel slack --reply-to C0AGZA4178Q --reply-thread 1234567890.123456 \
  --spawned-by openclaw
FlagRequired?Notes
--orchestrator openclawYes
--spawned-by openclawYesL0 orchestrator marker
--reply-channelYesslack, telegram, discord, etc.
--reply-toYesChannel ID or user ID for delivery
--reply-threadNoThread ID for threaded replies (Slack)
--session-idNoOpenClaw session ID for scoped killall/gc
--paneNoNot used — OpenClaw delivers via system events, not tmux panes

Without --reply-channel and --reply-to, orca spawn will fail. Set ORCA_ALLOW_OPENCLAW_WITHOUT_REPLY=1 only for automation.

When you receive the completion event:

  1. Run orca logs <name> to review the output
  2. Summarize the results (include PR links if any)
  3. Send the summary via openclaw message send --channel <ch> --target <target> --message <summary>
  4. Do NOT reply in-session — the user won't see that. Use openclaw message send.

Claude Code (cc / claude)

You must be running inside a tmux pane. Orca auto-detects your tmux pane for notification delivery — this does not work outside tmux. If a human launched you as the orchestrator, they must have started your session inside a tmux window first.

Check ORCA_WORKER_NAME in your environment:

  • If set: you are a worker — --spawned-by "$ORCA_WORKER_NAME"
  • If not set: you are the L0 orchestrator — --spawned-by self
# As a worker (ORCA_WORKER_NAME is set):
orca spawn "fix the login bug" -b cc -d ~/proj \
  --orchestrator cc --spawned-by "$ORCA_WORKER_NAME"

# As L0 orchestrator (ORCA_WORKER_NAME is not set):
orca spawn "fix the login bug" -b cc -d ~/proj \
  --orchestrator cc --spawned-by self
FlagRequired?Notes
--orchestrator ccYesTells the daemon to send completions to your tmux pane
--spawned-by <name>Yes$ORCA_WORKER_NAME if set, or self if L0
--paneNoAuto-detected from your current tmux pane — omit unless overriding
--depthNoAuto-resolved from your parent's depth

Codex (cx / codex)

You must be running inside a tmux pane. If a human launched you as the orchestrator, they must have started your session inside a tmux window first.

Check ORCA_WORKER_NAME in your environment:

  • If set: you are a worker — --spawned-by "$ORCA_WORKER_NAME"
  • If not set: you are the L0 orchestrator — --spawned-by self
# As a worker (ORCA_WORKER_NAME is set):
orca spawn "add unit tests" -b cx -d ~/proj \
  --orchestrator cx --spawned-by "$ORCA_WORKER_NAME"

# As L0 orchestrator (ORCA_WORKER_NAME is not set):
orca spawn "add unit tests" -b cx -d ~/proj \
  --orchestrator cx --spawned-by self
FlagRequired?Notes
--orchestrator cxYes
--spawned-by <name>Yes$ORCA_WORKER_NAME if set, or self if L0
--paneNoAuto-detected

Cursor (cu / cursor)

You must be running inside a tmux pane. If a human launched you as the orchestrator, they must have started your session inside a tmux window first.

Check ORCA_WORKER_NAME in your environment:

  • If set: you are a worker — --spawned-by "$ORCA_WORKER_NAME"
  • If not set: you are the L0 orchestrator — --spawned-by self
# As a worker (ORCA_WORKER_NAME is set):
orca spawn "refactor auth" -b cu -d ~/proj \
  --orchestrator cu --spawned-by "$ORCA_WORKER_NAME"

# As L0 orchestrator (ORCA_WORKER_NAME is not set):
orca spawn "refactor auth" -b cu -d ~/proj \
  --orchestrator cu --spawned-by self
FlagRequired?Notes
--orchestrator cuYes
--spawned-by <name>Yes$ORCA_WORKER_NAME if set, or self if L0
--paneNoAuto-detected

Sub-workers (worker spawning further workers)

If you are a worker spawning sub-workers:

  • Always pass --spawned-by <your-worker-name> — the plain name from ORCA_WORKER_NAME or orca list (e.g. fin, mud), NOT the emoji label.
  • Only OpenClaw uses --spawned-by openclaw. If you are a worker, you must use your own worker name.
  • Orca fails closed if you omit --spawned-by or pass the wrong name.
# Example: you are worker "fin" spawning sub-workers
orca spawn "sub-task A" -b cx -d ~/proj --orchestrator cc --spawned-by fin
orca spawn "sub-task B" -b cc -d ~/proj --orchestrator cc --spawned-by fin

Max depth is 3 (ORCA_MAX_DEPTH). Max 10 running workers per orchestrator (ORCA_MAX_WORKERS). At max depth, do the work yourself.


Headless / scripts (not interactive agents)

To use --orchestrator none, set ORCA_ALLOW_SPAWN_WITHOUT_ORCHESTRATOR=1.


CLI reference

orca spawn "fix the login bug" -b cc -d ~/proj --orchestrator openclaw --spawned-by openclaw
orca spawn "add unit tests" -b cx -d ~/proj --base-branch develop --orchestrator cx --spawned-by fin
orca spawn "refactor auth" -b cu -d ~/proj --orchestrator cu --spawned-by ace

orca list                                   # List all workers
orca status <name>                          # Detailed status (last output lines)
orca logs <name>                            # Full terminal output
orca steer <name> "also add tests"          # Send follow-up to a running worker
orca kill <name>                            # Kill a single worker (warns if not yours)
orca killall --mine                         # Kill YOUR workers only (safe, auto-detects pane)
orca killall --force                        # Kill ALL workers globally (requires human approval!)
orca gc --mine                              # Clean up YOUR done/dead workers
orca gc --force                             # Clean up ALL done/dead workers (requires human approval!)
orca daemon start|stop|status               # Daemon management (auto-starts on first spawn)
orca hooks install|uninstall                # Install/remove lifecycle hooks for Claude Code & Codex
orca report -w <name> -e done              # Report worker lifecycle event (used by hooks)

Backends

FlagAgent
-b ccClaude Code
-b cxCodex
-b cuCursor Agent

Cleanup responsibility

  • Do NOT kill or gc workers automatically. The human decides when to kill/gc — they may want to inspect logs, review branches, or cherry-pick work first.
  • If the human explicitly asks you to clean up, use orca gc --mine (safe, scoped to your workers only).

Recovering work after orca kill / gc

When a worker is killed or garbage-collected, Orca auto-stashes uncommitted changes before removing the worktree. Stashes attach to the main repo, not the deleted worktree path.

From the project root (-d directory):

git stash list                           # look for "orca-preserving <worker> …"
git stash show -p stash@{n}              # inspect the diff
git stash pop                            # or: git stash apply stash@{n}
  • Committed work on a branch is unaffected by stash; detached commits still need branches per normal Git rules.
  • Pass --no-stash to kill, killall, or gc to skip stashing (automation escape hatch).
  • Debugging: $ORCA_HOME/audit.log has KILL, GC, and STASH_PRESERVE entries; events/<worker>.jsonl has lifecycle events; logs/<worker>.log has terminal output; daemon.log has daemon diagnostics.

DO

  • Spawn workers for independent tasks that can run in parallel
  • After spawning, stop and wait silently -- the daemon notifies you when workers finish
  • Use orca list / orca status only when the user asks what's happening
  • Do NOT kill or gc workers yourself — the human decides when to clean up
  • Always pass --orchestrator with the correct value for your agent type

DON'T

  • NEVER run orca kill, orca killall, or orca gc unless the human explicitly asks -- killing workers can destroy in-progress work and kill orchestrator panes
  • Don't sleep or poll -- no sleep, no orca list loops, no periodic checks. Just stop and wait for the daemon notification.
  • Don't use tmux commands directly -- always go through orca
  • Don't spawn more than 4-5 workers at once unless explicitly asked
  • Don't steer workers with huge messages -- spawn a fresh worker instead
  • Don't spawn sub-workers if you're at max depth -- do the work yourself
  • Don't stop the daemon (orca daemon stop) -- other orchestrators share it

平台分布

Codex

35.87%
按下载量换算73

Claude

31%
按下载量换算63

Cursor

18.36%
按下载量换算37

Gemini CLI

9.6%
按下载量换算20

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/araa47/orca --skill orca 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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