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 commands/awarexone/agentic-bug-hunter/wordlist-gengit clone --depth 1 https://github.com/Awarexone/Agentic-Bug-HunterWrote 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/commands/awarexone/agentic-bug-hunter/wordlist-gen)<a href="https://agentmods.dev/commands/awarexone/agentic-bug-hunter/wordlist-gen"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/wordlist-gen.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 | $0.00072 | $0.00918 |
| Opus 5 | $0.00036 | $0.00459 |
| Sonnet 5 | $0.00014 | $0.00184 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
wordlist-gen 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 4d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/wordlist-gen
Generate a company-specific password wordlist by crawling the target website and applying hashcat mutation rules.
Usage
/wordlist-gen target.com
/wordlist-gen target.com --depth 3
/wordlist-gen target.com --mode aggressive # 52k rules, for offline cracking only
/wordlist-gen target.com --filter loose # keep raw cewler tokens (CSS/URL slugs)
/wordlist-gen target.com --min-len 6 --rate 3 # slower, longer-min crawl
Pipeline
- cewler crawls
https://<target>(depth 2 by default, lowercase, polite rate limit) →from-website.txt - Awk dedup + filter →
cleaned.txt- strict (default): start with letter, alphanum only, max 14 chars, drops 10+ char mixed tokens (kills API key examples, CSS colors, URL slugs)
- loose: only length + printable filter (cewler raw)
- hashcat --stdout -r applies password mutations (l33t, case, year suffix, exclamation, digit append) →
ranked.txt
Modes
| Mode | Rule file | Rules | Use case |
|---|---|---|---|
minimal |
top10_2025.rule |
~10 | Cautious spray — minimum noise per base word |
balanced (default) |
best66.rule |
~66 | Standard spray — best signal/cost ratio |
aggressive |
OneRuleToRuleThemAll.rule |
52,014 | Offline cracking only — too many candidates for spray |
Output
recon/<target>/wordlists/
├── from-website.txt # raw cewler output
├── cleaned.txt # dedup + length-filtered
└── ranked.txt # final spray candidates (use this)
Example
$ /wordlist-gen quotes.toscrape.com --mode minimal
[+] Step 1/3: crawling https://quotes.toscrape.com (depth=2, min-len=5, rate=5/s)
[+] Crawled 3199 raw words
[+] Step 2/3: dedup + length filter (5-20 chars, printable ASCII)
[+] Cleaned -> 3159 unique words
[+] Step 3/3: applying rules (top10_2025.rule)
[+] Final wordlist: 31182 candidates
Sample mutations for the word "absurd":
absurdist absurdist! absurdist1 absurdist123
absurdist2025 Absurdist ABSURDIST absurdistabsurdist
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.
- 4d ago First seen · 81 lines · 72 tokens per session scan A b06bc2a21a68
wordlist-gen is a command published in the GitHub repository Awarexone/Agentic-Bug-Hunter (4,689 stars, last pushed 3d ago), licensed MIT. It adds 72 tokens to every session and 918 once invoked, about $0.0004 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 2026-08-30.
Other commands, from other repositories
recon
Run full recon pipeline on a target — subdomain enum (Chaos API + subfinder), live host discovery (dnsx + httpx), URL crawl (katana + waybackurls + gau), gf pattern classification, nuclei scan. Outputs to recon/ / directory. Usage: /recon target.com.
hunt
Active vulnerability hunting. Two-track dispatcher — asks Red Team vs WAPT, hands off to hunt-dispatch skill and sibling commands. Usage: /hunt target.com | /hunt .target.com | /hunt targets.txt [--vuln-class X] [--source-code P] [--chrome].
token-scan
Meme coin and token security scan — checks for rug pull vectors (hidden mint, honeypot, fee manipulation, LP lock bypass, authority retention, bonding curve exploits, fake renounce, sandwich amplification). Manual 8-class grep audit (with an optional automated scanner if present). Usage: /token-scan [--chain solana].
autopilot
Run autonomous hunt loop on a target — scope check → recon → rank surface → hunt → validate → report with configurable checkpoints. Usage: /autopilot target.com [--paranoid|--normal|--yolo].
triage
Quick 7-Question Gate triage on a finding before writing a report. Kills N/A submissions before they happen. Faster than /validate — for quick go/no-go decisions. Usage: /triage.
validate
Validate a finding — runs 7-Question Gate + 4-gate checklist. Kills weak findings before report writing. Prevents N/A submissions that hurt validity ratio. Usage: /validate.