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 windows-adgit 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/windows-ad)<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/windows-ad"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/windows-ad/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/windows-ad"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/windows-ad.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 | $0.00034 | $0.00788 |
| Opus 5 | $0.00017 | $0.00394 |
| Sonnet 5 | $0.00007 | $0.00158 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade A, and why
windows-ad 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 5d 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
100% identical to windows-ad — 0 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.
What it actually says
Windows / Active Directory Security
ACTION REQUIRED（读完后立刻执行）
NOW: 读取../field-journal/precedent-pentest.mdNOW: 域/AD 测试必须明确授权范围（含 DC、是否允许投毒/中继）NOW: case-init；network_profile 与禁止动作写清NEXT: tool-index（impacket/certipy/bloodhound 等常手动）ACT: 从身份枚举与 BloodHound 图开始，不先上破坏性利用
适用场景
- 域渗透、Kerberoasting、AS-REP、委派
- AD CS（ESC1–ESC8 等）证书攻击
- BloodHound / SharpHound 攻击路径
- NTLM Relay / Coercer 强制认证
- 本地提权到域路径（Potato 等作为跳板）
与 attack-chain 关系
- 多阶段从外网到域控 → PRIMARY 可仍是
attack-chain/，本 skill 为 AD 专科 - 已在域内专注身份 → PRIMARY = 本 skill
工作流
1. 枚举
# 示例 Impacket / 内置（需凭据与授权）
nxc smb <range> -u user -p pass
bloodhound-python -d domain.local -u user -p pass -c All -ns <DC>
2. 常见路径（先图后枪）
□ Kerberoast / AS-REP → 离线破解
□ ACL 滥用（GenericAll/WriteDacl）
□ 委派（非约束/约束/基于资源）
□ AD CS 模板错误 → Certipy
□ 中继：LLMNR/NBT-NS + ntlmrelayx（确认授权）
3. 凭证与横向
□ secretsdump / lsassy / mimikatz（严格授权与清理）
□ PtH / PtT / 黄金票仅在授权红队范围
□ 每步写 Evidence；高危等用户确认
工具链
| 工具 | 用途 |
|---|---|
| BloodHound / SharpHound | 路径图 |
| Certipy | AD CS |
| Impacket / NetExec | 横向与枚举 |
| Rubeus / Mimikatz | 票据与凭证（授权） |
| Coercer / Responder | 强制认证 / 投毒 |
参考
references/ad-attack-paths.md../pentest-tools/references/network-attack-defense.md../attack-chain/- seeds:
field-journal/seed-005_ad-certipy-esc1.mdseed-007_ntlm-relay-coercer.mdseed-013_kerberoasting-spn.md
路由上下文
上游: MASTER R24
下游: 报告 docs-generator；需 EDR 研究 edr-bypass-re
MUST NOT: 无授权 DCSync / 黄金票打生产
任务完成自检
- 是否先有图/枚举再有利用？
- 是否记录可复现命令并脱敏？
- 是否遵守 scope 禁止项？
- Checklist？
What ships with it
1 file 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.
- 5d ago First seen · 85 lines · 34 tokens per session scan A 5670e104212f
windows-ad is a skill published in the GitHub repository Asaiuta/reverse-workbench-skill (2 stars, last pushed 25d ago), licensed MIT. It adds 34 tokens to every session and 788 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to windows-ad, differing in 0 lines, and is treated as a copy.
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