bundled-skills/attack-chain/SKILL.md
Authorized multi-stage attack-path planning and orchestration spanning reconnaissance, initial access, privilege escalation, lateral movement, and reporting. Entry point for full engagements and cross-phase operations.
npx skillsauth add FrancoStino/opencode-skills-antigravity attack-chainInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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⚠️ AUTHORIZED USE ONLY This skill is for educational purposes or authorized security assessments only. You must have explicit, written permission from the system owner before using this tool. Misuse of this tool is illegal and strictly prohibited.
Mandatory confirmation gate Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:
- Ask the user to state the exact target URL, IP, account, or resource.
- Ask the user to confirm written authorization and the permitted scope.
- Show the exact command(s) and explain their expected effect.
- Wait for explicit confirmation in the current conversation.
Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.
以下场景必须先经过本 Skill 做全链路规划,再分发到具体子 Skill 执行:
| 场景 | 为什么需要编排 | |------|--------------| | "帮我做一次完整的渗透测试" | 需要规划从信息收集到报告的全流程 | | "从外网打到域控" | 跨越边界突破→提权→横向→AD 多个阶段 | | "HW 攻防演练" | 需要完整攻击链 + 隐蔽性 + 痕迹清理 | | "评估这个目标的攻击面" | 需要多维度信息收集 + 路径规划 | | "我拿到了一个 webshell,下一步怎么办" | 需要从当前据点规划后续路径 | | "帮我规划攻击路径" | 明确需要路径编排 | | "从这个漏洞能打到什么程度" | 需要评估漏洞的链式利用价值 | | "Bug Bounty 持续监控" | 需要自动化多阶段流程 | | "内网渗透全流程" | 横向移动 + 提权 + 域攻击组合 | | "近源渗透方案" | 物理接入 + 内网渗透组合 | | "供应链攻击路径" | 跨组织多跳攻击 | | "钓鱼 + 后渗透" | 初始访问 + 后续利用组合 |
单阶段任务不需要经过本 Skill:
pentest-tools/pentest-tools/apk-reverse/windows-ad/SKILL.md用户提出多阶段任务
↓
attack-chain/SKILL.md(本文件)
↓ 规划攻击路径、确定阶段顺序
↓ 评估每阶段所需工具和方法
↓
分发到具体子 Skill 执行:
├── pentest-tools/ → 工具调用、漏洞利用
├── apk-reverse/ → 移动端渗透
├── js-reverse/ → Web 前端突破
├── reverse-engineering/ → 二进制分析
├── ida-reverse/ → 深度逆向
└── browser-automation/ → 自动化操作
↓
每阶段完成后回到本 Skill 评估下一步
↓
全部完成 → docs-generator 生成报告
拿到目标后:
1. 目标是什么?(Web/内网/云/移动/IoT)
2. 当前有什么?(外部视角/已有凭据/已有据点)
3. 最终目标是什么?(域控/数据/特定系统/证明影响)
4. 约束条件?(时间/隐蔽性/不可触碰的系统)
↓
根据以上信息规划最短路径
↓
一条路走不通 → 回到本 Skill 重新规划备选路径
For detailed phase methodology, toolchains, and playbooks, refer to:
| 失败原因 | 后果 | 教训 | |---------|------|------| | 未清除 Mimikatz 内存 dump | 蓝队溯源完整攻击路径 | 操作后立即清理 | | C2 域名被威胁情报标记 | 首次连接即被拦截 | 使用新注册域名 + 域前置 | | 钓鱼邮件触发 DLP 告警 | 蓝队提前预警 | 测试邮件网关规则 | | 横向移动触发蜜罐 | 暴露攻击意图 | 先识别蜜罐再行动 |
subfinder amass httpx naabu katana gau dnsx nmap whatweb wpscan
nuclei sqlmap sstimap xsstrike burpsuite metasploit
winPEAS linpeas GodPotato PrintSpoofer watson
mimikatz crackmapexec/netexec impacket bloodhound certipy coercer responder evil-winrm
cobalt-strike sliver havoc mythic adaptixc2
fluxion aircrack-ng proxmark3 rubber-ducky wifi-pineapple
| 需求 | 路由到 |
|------|--------|
| Web 漏洞深度利用 | pentest-tools/SKILL.md |
| 内网 AD 攻击详细步骤 | windows-ad/SKILL.md |
| 逆向分析恶意样本 | reverse-engineering/SKILL.md |
| APK 逆向(移动端渗透) | apk-reverse/SKILL.md |
| JS 前端签名绕过 | js-reverse/SKILL.md |
| 自动化群体渗透 | Pentest Swarm AI(pentestswarm scan --swarm) |
| AI 辅助渗透 | mcp-kali-server / metasploitmcp / hexstrike-ai |
| 报告生成 | docs-generator/SKILL.md |
| 攻击路径图 | diagram-generator/SKILL.md |
tool-index 使用了真实工具路径?Adapted from zhaoxuya520/reverse-skill (MIT).
tools
Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM/ASI Top 10.
development
Builds two parameterized UI modes—流光溢彩白 (iridescent white) and 五彩斑斓黑 (colorful black)—with OKLCH, WebGL/CSS fallback, vision gating, screenshot QA, and total/per-color intensity reports. Use when a UI request names either mode or needs measured color parameters.
tools
Delegate coding tasks to the Kimi Code CLI (`kimi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
development
Front-end JavaScript reverse engineering: locate signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node for evidence-based output.