Agentic Bug Hunter is a terminal toolkit that uses AI to investigate security targets, test for vulnerabilities, validate findings, and write bug bounty reports. It is for ethical hackers submitting findings to platforms such as HackerOne, Bugcrowd, Intigriti, or Immunefi, and can resume previous sessions. The catalogue entries package commands, skills, agents, instructions, hooks, and settings for using the toolkit.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Awarexone/Agentic-Bug-Hunternpx agentmods add commands/awarexone/agentic-bug-hunter/reconWrote 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/recon)<a href="https://agentmods.dev/commands/awarexone/agentic-bug-hunter/recon"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/recon/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/commands/awarexone/agentic-bug-hunter/recon"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/recon.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 | $0.00000 | $0.01245 |
| Opus 5.5 | $0.00000 | $0.00498 |
| Sonnet 5.5 | $0.00000 | $0.00249 |
| Haiku 4.5 | $0.00000 | $0.00125 |
Grade A, and why
recon 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/recon
Run the full recon pipeline on a target. Always invoke the production script directly — do not re-implement the steps inline. The methodology below is reference material; the script is the entry point.
Run This (the only required step)
# Domain (full subdomain enum + crawl + fuzz):
bash tools/recon_engine.sh target.com
# CIDR — skips subdomain enum, runs nmap host sweep:
bash tools/recon_engine.sh 10.0.0.0/24
# Single IP — scope-locked, no subdomain enum:
bash tools/recon_engine.sh 192.0.2.10
# Domain list (programs without wildcard scope) — pre-resolved hosts in a file:
bash tools/recon_engine.sh path/to/scope.txt
# Quick mode (skip amass + reduce ffuf coverage):
bash tools/recon_engine.sh target.com --quick
The script auto-detects target type:
- Path to a readable file → loads it as a host list (one per line,
#comments OK) and skips subdomain enumeration entirely. x.x.x.x/y→ CIDR sweep (max /24, scope-locked).x.x.x.x→ single IP, scope-locked.- Anything else → treated as a domain; full enum runs.
Output lands in recon/<target>/ (or recon/<file-basename>/ for list mode):
recon/<target>/
├── subdomains/all.txt
├── live/urls.txt
├── urls/all.txt
├── candidates/{xss,ssrf,idor,sqli,redirect,lfi}.txt
├── api-endpoints.txt
├── nuclei/findings.txt
└── cicd/summary.txt (if CI/CD workflows detected)
Troubleshooting
"/recon path/to/file.txt still runs subdomain enumeration"
You're on an older revision of this command file where the model re-implemented the pipeline inline and never invoked the production script. Pull latest, or run the script directly:
bash tools/recon_engine.sh path/to/file.txt
You should see [*] Domain-list target — loading <file> (skipping subdomain enum) near the start.
"/recon loops / doesn't actually run anything"
Same root cause as the hunt-loop bug. Run the bash directly:
bash tools/recon_engine.sh target.com
Or in your prompt: "Run bash tools/recon_engine.sh target.com and report the output. Do not re-implement the steps."
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 · 113 lines · 0 tokens per session scan A 1ef45db5fc71
recon is a command published in the GitHub repository Awarexone/Agentic-Bug-Hunter (5,315 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,245 tokens. 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].
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.
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.