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 trilwu/secskills --skill attacking-kerberos-delegationgit clone --depth 1 https://github.com/trilwu/secskillsWrote 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/trilwu/secskills/attacking-kerberos-delegation)<a href="https://agentmods.dev/skills/trilwu/secskills/attacking-kerberos-delegation"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/attacking-kerberos-delegation/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/trilwu/secskills/attacking-kerberos-delegation"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/attacking-kerberos-delegation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 3 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.
- high YARA Match · line 69 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- high Prompt Injection · line 171 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00101 | $0.02172 |
| Opus 5 | $0.00051 | $0.01086 |
| Sonnet 5 | $0.00020 | $0.00434 |
| Haiku 4.5 | $0.00010 | $0.00217 |
Grade A, and why
attacking-kerberos-delegation 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 7d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Attacking Kerberos Delegation
Delegation lets a service impersonate users to other services. Every form of it is a controlled way to become someone else, and each has a misconfiguration that removes the control. RBCD in particular turns a common, low-looking permission — write access to a computer object — into full compromise of that host, which is why it is the delegation attack that comes up most.
Only against domains you are authorized to test.
When to Use
- BloodHound flags
Unconstrained,Constrained, orRBCDdelegation - You control an account with an SPN, or
GenericWrite/GenericAllover a computer object - You can create machine accounts (default
MachineAccountQuotais 10) - You control a host configured for delegation
- Reviewing delegation configuration defensively
When NOT to Use
- Certificate Services abuse — use
abusing-adcs - Kerberoasting, DCSync, general AD — use
attacking-active-directory - Entra ID — use
attacking-entra-id - Detection — use
engineering-detections; TGS/S4U patterns and machine account creation (4741) are the telemetry
Enumerate the Three Types
# Constrained + unconstrained in one pass
findDelegation.py domain.local/user:pass -dc-ip 10.0.0.10 # impacket
# PowerView
Get-DomainComputer -Unconstrained | select name
Get-DomainComputer -TrustedToAuth | select name,msds-allowedtodelegateto
Get-DomainUser -TrustedToAuth
# RBCD is a per-object attribute; BloodHound's edges are the practical way to find it
Which type you are looking at decides everything:
| Type | Marker | Direction of trust |
|---|---|---|
| Unconstrained | TRUSTED_FOR_DELEGATION on the account |
Host can impersonate anyone who authenticates to it |
| Constrained | msDS-AllowedToDelegateTo populated |
Host can impersonate anyone, but only to listed services |
| RBCD | msDS-AllowedToActOnBehalfOfOtherIdentity on the target |
Target names who may impersonate to it |
Unconstrained Delegation
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.
- 7d ago First seen · 194 lines · 101 tokens per session scan A 5269e91b5df5
attacking-kerberos-delegation is a skill published in the GitHub repository trilwu/secskills (138 stars, last pushed 6d ago), licensed MIT. It adds 101 tokens to every session and 2,172 once invoked, about $0.0005 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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