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 SecurityTalent/bugskill-ai --skill active-directory-acl-abusegit clone --depth 1 https://github.com/SecurityTalent/bugskill-aiWrote 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/securitytalent/bugskill-ai/active-directory-acl-abuse)<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/active-directory-acl-abuse"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/active-directory-acl-abuse/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/securitytalent/bugskill-ai/active-directory-acl-abuse"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/active-directory-acl-abuse.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 | $0.00054 | $0.02683 |
| Opus 5.5 | $0.00022 | $0.01073 |
| Sonnet 5.5 | $0.00011 | $0.00537 |
| Haiku 4.5 | $0.00005 | $0.00268 |
Grade A, and why
active-directory-acl-abuse 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 1mo 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
100% identical to active-directory-acl-abuse — 0 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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: AD ACL Abuse — Expert Attack Playbook
AI LOAD INSTRUCTION: Expert AD ACL abuse techniques. Covers BloodHound enumeration, dangerous ACEs (GenericAll, WriteDACL, WriteOwner, etc.), DCSync, shadow credentials, targeted kerberoasting, group manipulation, LAPS, and GPO abuse. Base models miss complex ACL chain exploitation and Cypher query patterns.
0. RELATED ROUTING
Before going deep, consider loading:
- active-directory-kerberos-attacks for Kerberos attacks often chained with ACL abuse
- active-directory-certificate-services for certificate-based attacks after ACL exploitation
- ntlm-relay-coercion for relay attacks that can set ACLs (LDAP relay)
- windows-lateral-movement after gaining elevated AD access
Advanced Reference
Also load BLOODHOUND_PATHS.md when you need:
- Common BloodHound attack paths with Cypher queries
- Custom Neo4j queries for finding complex chains
- Data collection and ingestion tips
1. BLOODHOUND ENUMERATION
Data Collection
# SharpHound (from Windows, domain-joined)
SharpHound.exe -c all --outputdirectory C:\temp --zipfilename bh.zip
# bloodhound-python (from Linux)
bloodhound-python -d domain.com -u user -p password -c all -dc DC01.domain.com -ns DC_IP
# Specific collection methods
SharpHound.exe -c DCOnly # Fastest — only DC queries
SharpHound.exe -c Session # Session data only (run periodically)
SharpHound.exe -c All,GPOLocalGroup # Include GPO analysis
Key BloodHound Queries (Built-in)
- "Find all Domain Admins"
- "Shortest Paths to Domain Admins from Owned Principals"
- "Find Principals with DCSync Rights"
- "Shortest Paths to Unconstrained Delegation Systems"
- "Find computers where Domain Users are Local Admin"
2. DANGEROUS ACE TYPES
| ACE | Effect on Users | Effect on Groups | Effect on Computers |
|---|---|---|---|
| GenericAll | Change password, set SPN, modify attributes | Add members | RBCD, LAPS read, all attributes |
| GenericWrite | Set SPN, modify attributes, shadow creds | Add members | RBCD, shadow credentials |
| WriteDACL | Grant yourself any permission | Same | Same |
| WriteOwner | Take ownership → then WriteDACL | Same | Same |
| ForceChangePassword | Reset password without knowing old | N/A | N/A |
| AddMember | N/A | Add self/others to group | N/A |
| AllExtendedRights | Force change password, read LAPS | N/A | Read LAPS, BitLocker keys |
| ReadLAPSPassword | N/A | N/A | Read local admin password |
| WriteSPN | Set SPN → targeted kerberoast | N/A | N/A |
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.
- 1mo ago First seen · 296 lines · 54 tokens per session scan A 0ac12347c7b2
active-directory-acl-abuse is a skill published in the GitHub repository SecurityTalent/bugskill-ai (13 stars, last pushed 21d ago), licensed MIT. It adds 54 tokens to every session and 2,683 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to active-directory-acl-abuse, differing in 0 lines, and is treated as a copy.
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