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/autopilotgit clone --depth 1 https://github.com/Awarexone/Agentic-Bug-HunterWhat 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 | $0.00000 | $0.01046 |
| Opus 5 | $0.00000 | $0.00523 |
| Sonnet 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 3d 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.
- 3d 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 (4,651 stars, last pushed yesterday), 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.