All skills
cat-xierluo avatar

/multi-agent-orchestration

@41268aa

编排两个以上边界独立的本地 worker,使用 Orca Run/Task/Dispatch、独立 worktree/session 或 tmux 回退,由 PM 负责拆解、派发、巡检、429 停滞恢复、独立验收、PR 收口与临时资源清理;也用于用户明确要求“并行推进”“多个 worker”“PM 总控”“Wave Autopilot”或防止 PM 直接实现逃逸。不要用于单个短任务、纯状态同步,或仅需 Git 分支、提交、PR、merge 规则的工作。

Use this Skill: https://skilld.dev/gh/cat-xierluo/legal-skills/multi-agent-orchestration

This session only. Nothing lands on disk.

references07-qoderwork-cli-worker.md

≈148 tokens on demand. Your agent reads this file only when SKILL.md points to it.

QoderWork backend 已移除

2026-09-30 用户决定删除 QoderWork、保留 CodeBuddy。qoderwork、qoderwork-cn 不再是可派发 backend;旧 QoderWork.app 中的 qoderclicn 不可冒充独立 Qoder CN CLI。

独立 Qoder CN 的入口与验证边界见 26-optional-cli-backends.md。千问办公同名 bundled CLI 见 27-qwenwork-cli-worker.md。本文件只保留旧链接的迁移说明,不包含可执行 QoderWork 启动配方。历史实现记录保留在 CHANGELOG/DECISIONS,不作为当前权限依据。

Source: SKILL.md on GitHub

1 alert10d3 checks · Risk HIGH
  • Gen Agent Trust Hub10d

    The skill is a comprehensive multi-agent orchestration framework designed to manage multiple AI agents across isolated git worktrees and terminal sessions. It incorporates robust internal security controls such as an installation guard and a scope guard to limit the actions of sub-agents. It uses pinned executables and cryptographic hashes to verify script integrity. A potential risk of indirect prompt injection exists because the manager agent processes output from worker agents, but this is inherent to its function and mitigated by instructional boundaries and secret redaction.

  • Socket10d

    2 alerts: gptSecurity, gptAnomaly

  • Snyk10d

    Risk: LOW · No issues

Signed by skilld at 41268aa. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated yesterday
Other metadata
metadata
{
  "version": "2.31.1",
  "homepage": "https://github.com/cat-xierluo/legal-skills",
  "author": "杨卫薪律师(微信ywxlaw)"
}

README badge

README badge for cat-xierluo/legal-skills/multi-agent-orchestration