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 xAmirHamza77/ReverseOps-Skill --skill windows-adgit clone --depth 1 https://github.com/xAmirHamza77/ReverseOps-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/xamirhamza77/reverseops-skill/windows-ad)<a href="https://agentmods.dev/skills/xamirhamza77/reverseops-skill/windows-ad"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-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/xamirhamza77/reverseops-skill/windows-ad"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-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 | $0.00745 |
| Opus 5 | $0.00017 | $0.00373 |
| Sonnet 5 | $0.00007 | $0.00149 |
| Haiku 4.5 | $0.00003 | $0.00075 |
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Windows / Active Directory Security
ACTION REQUIRED (execute immediately after reading)
NOW: Read../field-journal/precedent-pentest.mdNOW: Domain/AD testing requires an explicitly defined authorized scope (including DCs, and whether poisoning/relay is permitted)NOW: case-init; document network_profile and prohibited actions clearlyNEXT: tool-index (impacket/certipy/bloodhound etc. are often manual installs)ACT: Start from identity enumeration and BloodHound graphs; do not begin with destructive exploitation
Applicable Scenarios
- Domain penetration, Kerberoasting, AS-REP roasting, delegation
- AD CS certificate attacks (ESC1–ESC8, etc.)
- BloodHound / SharpHound attack paths
- NTLM Relay / Coercer forced authentication
- Local privilege escalation to domain paths (e.g., Potato exploits as stepping stones)
Relationship with attack-chain
- Multi-stage chain from external network to domain controller → PRIMARY may remain
attack-chain/; this skill serves as the AD specialist - Already inside the domain, focused on identity → PRIMARY = this skill
Workflow
1. Enumeration
# Examples: Impacket / built-in (require credentials and authorization)
nxc smb <range> -u user -p pass
bloodhound-python -d domain.local -u user -p pass -c All -ns <DC>
2. Common Paths (graph first, exploit second)
□ Kerberoast / AS-REP → offline cracking
□ ACL abuse (GenericAll/WriteDacl)
□ Delegation (unconstrained/constrained/resource-based)
□ AD CS template misconfiguration → Certipy
□ Relay: LLMNR/NBT-NS + ntlmrelayx (confirm authorization)
3. Credentials & Lateral Movement
□ secretsdump / lsassy / mimikatz (strict authorization and cleanup)
□ PtH / PtT / golden ticket only within an authorized red-team scope
□ Write Evidence at every step; wait for user confirmation on high-risk actions
Toolchain
| Tool | Purpose |
|---|---|
| BloodHound / SharpHound | Attack path graphing |
| Certipy | AD CS |
| Impacket / NetExec | Lateral movement and enumeration |
| Rubeus / Mimikatz | Tickets and credentials (authorized) |
| Coercer / Responder | Forced authentication / poisoning |
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.
- 6d ago First seen · 85 lines · 34 tokens per session scan A 06903c7a0bd1
windows-ad is a skill published in the GitHub repository xAmirHamza77/ReverseOps-Skill (4 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 745 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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