Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Asaiuta/reverse-workbench-skill --skill attack-chaingit clone --depth 1 https://github.com/Asaiuta/reverse-workbench-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/attack-chain)<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/attack-chain"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/attack-chain/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/attack-chain"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/attack-chain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.05921 |
| Opus 5.5 | $0.00017 | $0.02368 |
| Sonnet 5.5 | $0.00009 | $0.01184 |
| Haiku 4.5 | $0.00004 | $0.00592 |
Grade A, and why
attack-chain scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
91% identical to attack-chain — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 652 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Attack Chain Orchestration Skill
ACTION REQUIRED（读完后立刻执行）
NOW: 读取../field-journal/precedent-pentest.md— 确认本 skill 的操作是已授权的常规操作NOW: 创建/更新 case（../scripts/case-init.ps1）并完成scope.md（../ops/scope-contract.md）；auth.status!=granted禁止 ACTNOW: 以 lead 角色规划阶段（../ops/role-map.md），写入 specialist_rolesNEXT: 读取../tool-index.md，校验工具可用性和实际路径NEXT: 缺工具时调用 bootstrap，不要猜路径ACT: 按references/lifecycle-checklist.md过阶段门闩；每阶段更新timeline.md+workitems.md（../ops/timeline-workitem.md）；发现提升为 Evidence/Finding- 结束：
docs-generator报告必须含 Evidence 链
多阶段攻击路径规划与执行的总指挥。当任务需要"从 A 打到 B"的完整链路时，本 Skill 负责编排各阶段、协调子 Skill、规划攻击路径。 不是"红队专属"——任何需要跨阶段组合的渗透场景都从这里开始。
何时路由到本 Skill
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：
- 只做端口扫描 → 直接去
pentest-tools/ - 只做 SQL 注入 → 直接去
pentest-tools/ - 只做 APK 逆向 → 直接去
apk-reverse/ - 只做域渗透 → 直接去
pentest-tools/references/network-attack-defense.md
编排原则
本 Skill 的角色
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
路径规划决策树
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
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 652 lines · 43 tokens per session scan F d4e78a53c83b
attack-chain is a skill published in the GitHub repository Asaiuta/reverse-workbench-skill (4 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 5,921 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to attack-chain, differing in 4 lines, and is treated as a copy.
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