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/autopilotWrote 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/autopilot)<a href="https://agentmods.dev/commands/awarexone/agentic-bug-hunter/autopilot"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/autopilot/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/autopilot"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/autopilot.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 | $0.01046 |
| Opus 5.5 | $0.00000 | $0.00418 |
| Sonnet 5.5 | $0.00000 | $0.00209 |
| Haiku 4.5 | $0.00000 | $0.00105 |
Grade A, and why
autopilot 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/autopilot
Autonomous hunt loop with deterministic scope safety and configurable checkpoints.
Usage
/autopilot target.com # default: --paranoid mode
/autopilot target.com --normal # batch checkpoint after validation
/autopilot target.com --yolo # minimal checkpoints (still requires report approval)
/autopilot target.com --quick # fast surface scan, fewer checks, lower token use
/autopilot targets.txt # multiple targets — one domain per line in the file
Session Isolation (Important)
Start a fresh Claude Code session per target. Claude accumulates context across a session — testing multiple targets in one session causes cross-contamination where findings, payloads, and tech stack assumptions from target A bleed into target B.
Best practice:
# Terminal 1: target A
claude → /autopilot targetA.com
# Terminal 2: target B (separate process)
claude → /autopilot targetB.com
If you must test multiple targets in one session, run /pickup target.com at the start of
each target switch to reload the correct context.
Token Optimization
Use --quick for faster, lower-cost scans (skips deep fuzzing and extended nuclei templates):
/autopilot target.com --quick # ~40% fewer tokens, covers main attack surface
/hunt target.com --vuln-class idor # single bug class — lowest token use
For long hunts, run /compact (Claude Code built-in) periodically to compress context
without losing findings.
What This Does
/autopilot is the same pipeline as running /scope → /recon → /surface → /hunt → /validate → /report back-to-back, but driven by one agent loop instead of you re-prompting at each step. Same scripts. Same outputs. No new capabilities — just less typing and built-in checkpoints.
1. SCOPE Load and confirm program scope (≡ /scope)
2. RECON bash tools/recon_engine.sh <target> (≡ /recon, reuses cache if < 7 days old)
3. RANK Prioritize attack surface (recon-ranker agent) (≡ /surface)
4. HUNT python3 tools/hunt.py --target <target> --scan-only (≡ /hunt)
5. VALIDATE 7-Question Gate on findings (≡ /validate)
6. REPORT Draft reports for validated findings (≡ /report — never auto-submits)
7. CHECKPOINT Present to human for review (frequency depends on mode flag)
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 · 90 lines · 0 tokens per session scan A 81072edbc7d4
autopilot is a command published in the GitHub repository Awarexone/Agentic-Bug-Hunter (5,422 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,046 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].
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.