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
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.
git 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/memory-gc)<a href="https://agentmods.dev/commands/awarexone/agentic-bug-hunter/memory-gc"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/memory-gc/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/memory-gc"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/memory-gc.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 | $0.00037 | $0.00562 |
| Opus 5.5 | $0.00015 | $0.00225 |
| Sonnet 5.5 | $0.00007 | $0.00112 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
memory-gc 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- memory-gc — 100% identical, 0 lines differ
What it actually says
/memory-gc
Garbage-collect the hunt-memory directory. Reports current sizes, rotates oversized files past a configurable cap, or purges old backups.
Why This Exists
Append-only logs grow without bound. On active hunters:
audit.jsonlcan reach 100 MB+ in months (every outbound request)patterns.jsonlandjournal.jsonlaccumulate forever
This command surfaces that growth and gives you a one-shot fix.
Usage
/memory-gc # report only
/memory-gc --rotate # rotate files above 10 MB (default cap)
/memory-gc --rotate --max-mb 5 # custom cap
/memory-gc --purge-backups # delete all .1/.2/.3 backups
/memory-gc --dir <path> # scan a non-default hunt-memory dir
What It Does
- Walks the hunt-memory directory recursively.
- Finds
audit.jsonl,patterns.jsonl, andjournal.jsonlfiles at any depth. - Prints a per-file table: live size, total (live + backups), backup count, status.
- With
--rotate: renames oversize files to<file>.1, shifting older backups up to<file>.{keep}. The oldest is dropped. - With
--purge-backups: removes every.1/.2/.3backup, keeping only live files.
Implementation
The agent shells out to:
python -m tools.memory_gc [args]
from the repo root.
Defaults
- Rotation cap: 10 MB per file
- Backups kept: 3 (so
<file>.1newest →<file>.3oldest) - Scope:
hunt-memory/and any nested target dirs
Auto-rotation fires automatically in two places:
- On every write — inside
AuditLog.log()andPatternDB.save()when the next append would exceed the cap. - On session end — a
Stophook in.claude/settings.jsonrunspython3 -m tools.memory_gc --rotateso long sessions that wrote a lot but never crossed the cap mid-session still get cleaned up.
So this slash command is mainly for ad-hoc reporting (/memory-gc with no args) and manual cleanup of accumulated backups (/memory-gc --purge-backups).
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 · 57 lines · 37 tokens per session scan A f868cef373fb
memory-gc is a command published in the GitHub repository Awarexone/Agentic-Bug-Hunter (5,315 stars, last pushed 8d ago), licensed MIT. It adds 37 tokens to every session and 562 once invoked, about $0.0001 per session on Opus 5.5. 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
memory-gc
Inspect or rotate the autopilot ledger JSONL files (findings.jsonl, negatives.jsonl). Caps file size and keeps N rotated backups so memory does not grow unbounded.
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.