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main-agent-supervisor主要 Agent 主管

Agent Skill

main-agent-supervisor 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

9,740

周安装

394

GitHub Stars

公开资料未说明

下载量

3,057
OpenClaw

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

MIT-0

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:main-agent-supervisor(主要 Agent 主管)
来源仓库:https://github.com/sjingh/main-agent-supervisor
安装命令:
openclaw skills install main-agent-supervisor
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install main-agent-supervisor

简介

监督主代理行为,抑制循环请求并在必要时升级至人工决策。

  • 适用于复杂任务分解与权限边界控制,提升系统稳定性。
  • 仅在关键判断或模糊情境下介入,减少不必要的用户打扰。
  • 需定义清晰的升级阈值与审批流程,避免过度干预正常操作。
  • main-agent-supervisor 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
main-agent-supervisor
description
Supervise a main agent so it defaults to execution, suppresses obvious permission loops, and escalates to the user only for true approvals or critical ambiguity. Use when designing, running, or auditing a reviewer/gatekeeper/coaching layer for agent replies, approval policy, escalation logic, anti-stuck behavior, or supervisor-style chat/output filtering.

Main Agent Supervisor

This skill is for a supervisor layer over a main agent, not a generic task tracker.

Goal

Prevent the main agent from getting stuck on obvious decisions while still preserving real human control for risky or ambiguous actions.

Core design

Use a four-part model:

  1. Classifier

- Decide whether a pending ask/action is: - AUTO - CONFIRM - ESCALATE

  1. Pre-send gate

- Before the main agent sends a user-visible reply, ask: - Is this asking for an obvious decision? - Is there a safe default? - Is the agent permission-looping? - If yes, suppress the question and continue execution.

  1. Triage / watchdog

- Borrowing from claude-code-supervisor, classify agent state into: - FINE - NEEDS_NUDGE - STUCK - DONE - ESCALATE - Use a lightweight pre-filter for obvious cases before invoking heavier review.

  1. Task-state tracking for large tasks

- Borrowing from task-supervisor, keep simple checkpoint files for long tasks. - Track: - started time - status - completed steps - last updated - current blocker / next step

Use this policy

AUTO

Proceed without bothering the user when all are true:

  • internal / local action
  • reversible or low-risk
  • no external send/publish
  • no payment / secret / production change
  • user intent is already clear
  • there is one reasonable default

CONFIRM

Ask the user when any are true:

  • external send/publish
  • destructive / irreversible action
  • money / orders / account changes
  • production/live-system changes
  • privacy / compliance / legal sensitivity

ESCALATE

Ask only when blocked after reasonable retries or when multiple materially different paths exist.

Reply-shaping rules

When the main agent drafts a question, rewrite it if:

  • it is merely asking permission for an AUTO action
  • it asks for a trivial preference that has a safe default
  • it proposes extra scope that is obviously worth trying and reversible

Preferred rewrite:

  • state the chosen default
  • continue execution
  • mention assumptions briefly if needed

For larger tasks, pair this with a task-state file instead of ad-hoc check-in messages. That preserves progress visibility without interrupting the user for obvious decisions.

Best current pattern

For this workspace, the best practical setup is:

  • escalation classifier as the core policy
  • pre-send gate as enforcement
  • triage/watchdog for stuck detection
  • task-state files for large tasks
  • passive reviewer/audit log for tuning

References

Read these when needed:

  • references/design.md — recommended architecture and message flow
  • references/comparison.md — what existing public skills cover vs what they miss
  • references/implementation.md — workspace-specific OpenClaw implementation plan

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

96.88%
按下载量换算2,962

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。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

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