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openclaw-marshalOpenClaw marshal 搜索

Agent Skill

openclaw-marshal 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

47,652

周安装

2,026

GitHub Stars

1

下载量

16,694
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:openclaw-marshal(OpenClaw marshal 搜索)
来源仓库:https://github.com/atlaspa/openclaw-marshal
安装命令:
openclaw skills install openclaw-marshal
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 openclaw-marshal

简介

代理工作区的合规性和策略执行。定义安全策略、审核合规性、检查命令限制并生成审核就绪报告。免费警报层 — 升级到 openclaw-marshal-pro 以实现主动执行、阻止和自动修复。

SKILL.md

name
openclaw-marshal
user-invocable
true
metadata
{"openclaw":{"emoji":"📋","requires":{"bins":["python3"]},"os":["darwin","linux","win32"]}}

OpenClaw Marshal

Define security policies for your workspace and audit compliance. Check installed skills against command, network, and data handling rules. Generate audit-ready compliance reports.

Why This Matters

Agent workspaces accumulate skills that execute commands, access the network, and handle data. Without a defined security policy, there is no way to know whether installed skills comply with your organization's requirements — or whether your workspace itself meets basic security hygiene standards.

This skill lets you define a policy once and audit everything against it.

Commands

Initialize Policy

Create a default security policy file (.marshal-policy.json) with sensible defaults.

python3 {baseDir}/scripts/marshal.py policy --init --workspace /path/to/workspace

Show Policy

Display the current active policy.

python3 {baseDir}/scripts/marshal.py policy --show --workspace /path/to/workspace

Policy Summary

Quick overview of loaded policy rules.

python3 {baseDir}/scripts/marshal.py policy --workspace /path/to/workspace

Full Compliance Audit

Audit all installed skills and workspace configuration against the active policy. Reports compliance score, violations, and recommendations.

python3 {baseDir}/scripts/marshal.py audit --workspace /path/to/workspace

Check Specific Skill

Check a single skill against the policy. Reports pass/fail per rule.

python3 {baseDir}/scripts/marshal.py check openclaw-warden --workspace /path/to/workspace

Generate Compliance Report

Produce a formatted, copy-pastable compliance report suitable for audit documentation.

python3 {baseDir}/scripts/marshal.py report --workspace /path/to/workspace

Quick Status

One-line summary: policy loaded, compliance score, critical violations count.

python3 {baseDir}/scripts/marshal.py status --workspace /path/to/workspace

Workspace Auto-Detection

If --workspace is omitted, the script tries:

  1. OPENCLAW_WORKSPACE environment variable
  2. Current directory (if AGENTS.md exists)
  3. ~/.openclaw/workspace (default)

What Gets Checked

CategoryChecksSeverity
Command SafetyDangerous patterns (eval, exec, pipe-to-shell, rm -rf /)CRITICAL
Command PolicyBlocked and review-required commands from policyHIGH/MEDIUM
Network PolicyDomain allow/blocklists, suspicious TLD patternsCRITICAL/HIGH
Data HandlingSecret scanner installed, PII scanner configuredHIGH/MEDIUM
Workspace Hygiene.gitignore, audit trail (ledger), skill signing (signet)HIGH/MEDIUM
ConfigurationDebug modes, verbose logging left enabledLOW

Policy Format

The .marshal-policy.json file defines all rules:

  • commands.allow — Permitted binaries
  • commands.block — Blocked command patterns
  • commands.review — Commands requiring human review
  • network.allow_domains — Permitted network domains
  • network.block_domains — Blocked domains
  • network.block_patterns — Wildcard domain blocks (e.g., *.tk)
  • data_handling.pii_scan — Require PII scanning
  • data_handling.secret_scan — Require secret scanning
  • workspace.require_gitignore — Require .gitignore
  • workspace.require_audit_trail — Require ledger
  • workspace.require_skill_signing — Require signet

Exit Codes

  • 0 — Compliant, no issues
  • 1 — Review needed (medium/high findings)
  • 2 — Critical violations detected

No External Dependencies

Python standard library only. No pip install. No network calls. Everything runs locally.

Cross-Platform

Works with OpenClaw, Claude Code, Cursor, and any tool using the Agent Skills specification.

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

82.46%
按下载量换算13,766

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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