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 fatihkan/badi --skill pentest-credentialsgit clone --depth 1 https://github.com/fatihkan/badiWrote 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/fatihkan/badi/pentest-credentials)<a href="https://agentmods.dev/skills/fatihkan/badi/pentest-credentials"><img src="https://agentmods.dev/badge/skills/fatihkan/badi/pentest-credentials.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.01531 |
| Opus 5 | $0.00034 | $0.00766 |
| Sonnet 5 | $0.00014 | $0.00306 |
| Haiku 4.5 | $0.00007 | $0.00153 |
Grade A, and why
pentest-credentials 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 today.
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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pentest-credentials
Credential testing methodology. Offline hash crack + targeted wordlist + default cred audit. Online brute requires a scope declaration and account-lockout-policy awareness.
Triggers
- "I found a hash, how do I crack it"
- "crack with hashcat / john"
- "generate a wordlist"
- "password spray"
- "default cred audit"
- "credential stuffing test"
Hash Identification
# hashid (offline)
hashid "$2y$12$abcd..." # bcrypt detect
hashid "5f4dcc3b5aa765d61d8327deb882cf99" # MD5
# haiti (modern alt)
haiti "$2y$12$abcd..."
Common hash modes (hashcat):
| Hash | Mode | Command Example |
|---|---|---|
| MD5 | 0 | hashcat -m 0 hash.txt wordlist.txt |
| SHA1 | 100 | hashcat -m 100 ... |
| bcrypt | 3200 | hashcat -m 3200 ... (slow) |
| NTLM | 1000 | hashcat -m 1000 ... |
| NetNTLMv2 | 5600 | from Responder |
| Kerberos AS-REP | 18200 | from GetNPUsers.py |
| Kerberos TGS-REP | 13100 | from GetUserSPNs.py |
| WPA2 (hash22000) | 22000 | from hcxpcapngtool |
| MS-SQL 2012+ | 1731 | T-SQL hash |
| LSA secrets | 5500 (NetNTLMv1) | Responder |
Wordlist Strategy
Ready-Made Wordlists
rockyou.txt — 14M (classic baseline)
SecLists/Passwords/* — 1500+ specialized
Probable-Wordlists/ — statistically ordered
WeakPass dataset — large merged set
Target-Specific Generation
# CeWL — scrape words from the site (QUIET)
cewl https://example.com -m 5 -w cewl-target.txt
# cupp — passwords from a user profile (offline interactive)
cupp -i
# Answer: name, date, pet, company, etc. -> target.txt
# Mentalist (GUI / CLI) — rule-based combine
# Crunch — pattern-based
crunch 8 12 -t Spring@^^^^ > crunch.txt # Spring@2026, Spring@1990, ...
# hashcat rule sets
hashcat -m 1000 hash.txt rockyou.txt -r rules/best64.rule -r rules/d3ad0ne.rule
hashcat -m 0 hash.txt --increment -a 3 ?l?l?l?l?l?d?d?d # mask attack
Mutation Rules
# Common mutation: Title + year + special
cat words.txt | sed 's/$/2026!/' >> mutated.txt
cat words.txt | sed 's/$/123/' >> mutated.txt
cat words.txt | awk '{print toupper(substr($0,1,1)) substr($0,2)}' >> mutated.txt
# Automated with Hashcat rules
hashcat --stdout words.txt -r rules/leetspeak.rule | sort -u > leet.txt
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.
- today First seen · 180 lines · 69 tokens per session scan A 4c80141eb161
pentest-credentials is a skill published in the GitHub repository fatihkan/badi (7 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 1,531 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 2026-09-06.
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