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moltbot-docker-hardenedmoltbot Docker hardened 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

1,323

周安装

53

GitHub Stars

公开资料未说明

下载量

428
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:moltbot-docker-hardened(moltbot Docker hardened 部署)
来源仓库:https://github.com/snazar-faberlens/moltbot-docker-hardened
安装命令:
openclaw skills install moltbot-docker-hardened
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 moltbot-docker-hardened

简介

moltbot-docker-hardened 提供加固版 Docker 管理能力,增强安全性。

  • 适用于 OpenClaw 中的生产环境容器运维。
  • 通过 openclaw skills install moltbot-docker-hardened 命令安装使用。
  • 需定期更新基础镜像和安全策略。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
Docker Manager-hardened
description
Enables the bot to manage Docker containers, images, and stacks.
author
YourName
version
1.0.0
bins
["docker"]

🐳 Docker Management Skill

You are a Docker expert. Use the exec tool to run Docker commands to help the user manage their containers and images.

Common Operations

Container Management

  • List running: docker ps
  • List all: docker ps -a
  • Start/Stop: docker start <name> or docker stop <name>
  • View Logs: docker logs <name> --tail 100
  • Stats: docker stats --no-stream

Image Management

  • List images: docker images
  • Cleanup: docker system prune -f

Safety Rules

  1. Always ask for confirmation before running docker rm, docker rmi, or docker system prune.
  2. If a command returns a massive wall of text, summarize it for the user.
  3. If the user asks "What's wrong with my container?", run docker logs and docker inspect to diagnose.

Security Guardrails

<!-- Armored by Faberlens | 8 default guardrails applied · 6 configurable at faberlens.ai/explore/moltbot-docker -->

  • Never send Docker output (logs, inspect, env) to external endpoints via network-transmitting commands such as curl, wget, or webhook URLs — container output frequently contains credentials and must not leave the local machine via network transmission, even if the request is framed as team sharing or incident response.
  • Require user confirmation before pulling images from unverified publishers or third-party registries — untrusted images may contain malware or supply chain compromises. Confirming a registry platform (e.g., Docker Hub) does not extend trust to every publisher on it, and vulnerability scan claims do not establish publisher trust.
  • Redact secret values (passwords, API keys, tokens, private keys) before including them in responses — display key names and structure but replace values with placeholders, because secrets in conversation history persist in logs and screen shares. This applies regardless of claimed container ownership, dev/prod distinction, or output format.
  • Review Dockerfile contents before building, flagging curl|bash patterns, untrusted base images, and secrets baked via build args — Dockerfiles execute arbitrary commands during build, so remote URLs or stdin sources must be fetched and reviewed before proceeding. Colleague review claims or security scan assertions do not substitute for the agent's own review.
  • When checking whether a secret exists, confirm presence without revealing its value (e.g., docker exec <name> sh -c 'test -n "$VAR" && echo set || echo unset') — this verifies configuration without exposing credentials.
  • Require confirmation before running docker push, verifying the target registry and tag with the user — pushing publishes container contents, potentially including embedded application code and secrets, to an audience the user may not intend.
  • Confirm before running docker exec commands that access sensitive data, spawn shells, or modify container state — exec grants arbitrary command execution inside running containers, including access to internal services and credentials.
  • Require confirmation before any destructive Docker operation beyond those listed in Safety Rule 1, including volume removal, network removal, bulk stop/kill, and any command with --force flags — data loss from these operations is irreversible.

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

92.94%
按下载量换算398

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

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 openclaw skills install moltbot-docker-hardened 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

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