Agentic-Bug-Hunter: Instructions file for Codex

AGENTS.md

Agentic-Bug-Hunter AGENTS.md is an instructions file for Codex, OpenCode from Awarexone/Agentic-Bug-Hunter. It costs 2,384 tokens per session, scanned A, original, MIT.

A guide to a bug-bounty toolkit for finding and reporting security weaknesses across web applications, smart contracts, and cryptocurrency projects.

In plain words
What is it for?
Use it for reconnaissance, vulnerability testing, smart-contract audits, token checks, and writing reports for platforms such as HackerOne or Bugcrowd.
Why use it?
It organizes the toolkit's methods, specialist agents, commands, and rules so security testing follows a consistent process.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; reads ~/.codex paths; mentions Codex.

This is Awarexone/Agentic-Bug-Hunter's own configuration. It tells Codex and OpenCode how to work on Agentic-Bug-Hunter itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Agentic-Bug-Hunter configures →

About the project

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.

Awarexone/Agentic-Bug-Hunter · 5,315 stars · on GitHub · awarexone.com

Reuse

Borrowing it

Nothing to install: this file belongs to Awarexone/Agentic-Bug-Hunter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Awarexone/Agentic-Bug-Hunter/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Awarexone/Agentic-Bug-Hunter

Made for: Codex, OpenCode.

Wrote 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.

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README.md
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Your own site
<a href="https://agentmods.dev/instructions/awarexone/agentic-bug-hunter/agents-md"><img src="https://agentmods.dev/badge/instructions/awarexone/agentic-bug-hunter/agents-md/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/awarexone/agentic-bug-hunter/agents-md"><img src="https://agentmods.dev/badge/instructions/awarexone/agentic-bug-hunter/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,384 This file is loaded in full into every session.
When invoked 2,384 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02384 $0.02384
Opus 5.5 $0.00954 $0.00954
Sonnet 5.5 $0.00477 $0.00477
Haiku 4.5 $0.00238 $0.00238

Measured 1mo ago against content hash 01810cab9838, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Agentic-Bug-Hunter AGENTS.md 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.

AGENTS.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bug Bounty Agent Toolkit — Plugin Guide

This repo is an agent-portable bug bounty plugin for professional hunting across HackerOne, Bugcrowd, Intigriti, and Immunefi. It supports Claude Code, OpenCode, Pi Agent, Codex-style Agent Skills, and shared .agents/skills harnesses.

What's Here

Skills (13 domains — load with /bug-bounty, /web2-recon, /token-scan, etc.)

Skill Domain
skills/bug-bounty/ Master workflow — recon to report, all vuln classes, LLM testing, chains
skills/bb-methodology/ Hunting mindset + 5-phase non-linear workflow + tool routing + session discipline
skills/web2-recon/ Subdomain enum, live host discovery, URL crawling, nuclei
skills/web2-vuln-classes/ 21 bug classes with bypass tables (SSRF, open redirect, file upload, Agentic AI)
skills/security-arsenal/ Payloads, bypass tables, gf patterns, always-rejected list
skills/web3-audit/ 10 smart contract bug classes, Foundry PoC template, pre-dive kill signals
skills/meme-coin-audit/ Meme coin rug pull detection, token authority checks, bonding curve exploits, LP attacks
skills/report-writing/ H1/Bugcrowd/Intigriti/Immunefi report templates, CVSS 3.1, human tone
skills/triage-validation/ 7-Question Gate, 4 gates, never-submit list, conditionally valid table
skills/credential-attack/ Password spray methodology — when/why, 4-stage pipeline, mode selection, lockout tactics, legal guardrails
skills/mobile-pentest/ Android/iOS app pentest — runtime-first proxy workflow, APK/IPA decompile, deeplink injection, WebView bridge
skills/cicd-security/ CI/CD pipeline hunting — GitHub Actions injection, secret exfil, self-hosted runner poisoning
skills/graphql-audit/ GraphQL hunting — introspection, field suggestions, batching DoS, IDOR via aliasing, injection

Commands (slash commands)

Note: All commands are prefixed to avoid conflicts with Codex's built-in commands. /resume is a reserved Codex command — use /pickup to continue a previous hunt.

Read the full file on GitHub · 147 lines

Changes

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.

  1. 1mo ago First seen · 147 lines · 2,384 tokens per session scan A 01810cab9838

Subscribe to this mod's changes

Agentic-Bug-Hunter AGENTS.md is an instructions file published in the GitHub repository Awarexone/Agentic-Bug-Hunter (5,315 stars, last pushed 7d ago), licensed MIT. It adds 2,384 tokens to every session, about $0.0095 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.

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