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marrowmarrow 运维

Agent Skill

marrow 用于补充运维相关能力,适合在 OpenClaw 中需要让 Agent 承接运维相关任务时使用。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

2,138

周安装

90

GitHub Stars

公开资料未说明

下载量

749
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:marrow(marrow 运维)
来源仓库:https://github.com/majinbuu0x9/marrow
安装命令:
openclaw skills install marrow
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 marrow

简介

Marrow 为 OpenClaw 提供持久化代理内存,记录历史决策与失败案例供后续参考。

  • 适用于长期运行任务或多轮对话场景,增强 Agent 上下文记忆与学习连续性。
  • 通过 clawhub 安装后,在 OpenClaw 中启用,支持跨会话状态保存与情报聚合。
  • 使用前应设置数据加密策略,防止敏感操作日志被未授权访问。
  • 适合运维类 Agent 嵌入至复杂工作流系统,提升容错能力与复盘效率。

SKILL.md

name
marrow
description
Persistent agent memory for OpenClaw. Surface past failures, log decisions, and compound intelligence across sessions. Use when an agent should enforce Marrow usage automatically on every turn instead of relying on memory or opt-in logging.
metadata
{"openclaw": {"requires": {"env": ["MARROW_API_KEY"]}, "primaryEnv": "MARROW_API_KEY", "emoji": "🧠", "homepage": "https://getmarrow.ai"}}

Marrow

Use the existing @getmarrow/mcp tools directly. Do not invent wrappers, aliases, or local substitutes.

Operating rule

Treat Marrow logging as mandatory. The point is simple: every logged action improves future decisions, and every skipped action throws away usable failure prevention.

Required flow

  1. Session start: call marrow_orient({ autoWarn: true }) before any other tool. If shouldPause=true, stop and review the warnings before acting.
  2. Before every meaningful action: call marrow_auto({ action: "what you are about to do" }). Meaningful actions include file writes, edits, deploys, config changes, API calls, security changes, installs, deletes, and external sends.
  3. After every meaningful action: call marrow_auto({ action: "what you did", outcome: "result", success: true|false }). If the action already happened, one combined marrow_auto call is fine.
  4. For complex or multi-step work: use marrow_think before acting and marrow_commit after acting so you get pattern intelligence, loop detection, and explicit outcomes.
  5. For quick one-shot work: marrow_run is acceptable when you want orient, think, and commit handled in one call.
  6. Before unfamiliar or risky work: ask marrow_ask("plain English question") for prior failures, working patterns, or recommended next steps.

Redaction rules

  • NEVER log secrets, API keys, tokens, passwords, OTPs, auth headers, PII, or sensitive file contents in any Marrow call. Log the action and outcome, not the payload.
  • Do NOT log Marrow tool calls themselves. Calling marrow_orient, marrow_auto, marrow_think, marrow_commit, marrow_run, marrow_ask, or any marrow_* tool is infrastructure — not a loggable action.
  • Strip credentials from outcomes before committing. Example: "deployed to CF" not "deployed to CF with token cfut_abc123".

Non-negotiables

  • Never skip Marrow because the task feels small.
  • Prefer fewer, clearer logs over noisy fragments.
  • Record failures honestly. Bad news is training data.
  • Read references/marrow-api.md when you need the tool quick reference.

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

84.7%
按下载量换算634

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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

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