bug-bounty-methodology

bug-bounty-methodology is a skill for Claude Code, Codex from woohyun212/security-skill. It costs 27 tokens per session (3,164 once invoked), scanned A, original, MIT.

A structured guide for authorized bug-bounty testing, where researchers look for and responsibly report security flaws in a company's software.

In plain words
What is it for?
Use it to organize reconnaissance, application mapping, flaw discovery, proof of impact, reporting, and escalation within an approved program.
Why use it?
It helps decide what to investigate next when starting a target, changing programs, getting stuck, or finding a low-impact issue.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to organize reconnaissance, application mapping, flaw discovery, proof of impact, reporting, and escalation within an approved program.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/woohyun212/security-skill/bug-bounty-methodology
Install

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.

Any agent
npx skills add woohyun212/security-skill --skill bug-bounty-methodology
Clone the repo
git clone --depth 1 https://github.com/woohyun212/security-skill

Made for: Claude Code, Codex.

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.

agentmods badge for bug-bounty-methodology

README.md
[![agentmods](https://agentmods.dev/badge/skills/woohyun212/security-skill/bug-bounty-methodology/github.svg)](https://agentmods.dev/skills/woohyun212/security-skill/bug-bounty-methodology)
Your own site
<a href="https://agentmods.dev/skills/woohyun212/security-skill/bug-bounty-methodology"><img src="https://agentmods.dev/badge/skills/woohyun212/security-skill/bug-bounty-methodology/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.

agentmods 80×15 button for bug-bounty-methodology

Your own site · 80×15
<a href="https://agentmods.dev/skills/woohyun212/security-skill/bug-bounty-methodology"><img src="https://agentmods.dev/badge/skills/woohyun212/security-skill/bug-bounty-methodology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,164 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00027 $0.03164
Opus 5 $0.00014 $0.01582
Sonnet 5 $0.00005 $0.00633
Haiku 4.5 $0.00003 $0.00316

Measured 9d ago against content hash 6d9080906f4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

bug-bounty-methodology scanned grade A with 1 finding 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 9d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sk "$url" | jsluice urls 2>/dev/null
bug-bounty-methodology/SKILL.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What this skill does

Provides a complete cognitive and operational framework for bug bounty hunting sessions. Combines a 5-phase non-linear workflow (Recon → Map → Discover → Prove → Report) with four thinking domains (Critical, Multi-Perspective, Tactical, Strategic) and developer psychology reversal techniques. Routes decisions about what to test, which tool to use, and how to escalate findings based on phase, target type, and time elapsed.

When to use

  • At the start of any new bug bounty hunting session
  • When switching to a new program or target
  • When feeling stuck or unsure what to do next
  • When a finding has low impact and you want to escalate it
  • When asking "what should I test next?" or "where am I in the process?"
  • When a WAF or filter is blocking your payload and you need a bypass strategy

Prerequisites

  • A valid, authorized bug bounty scope (HackerOne, Bugcrowd, Intigriti, Immunefi, or private program)
  • A proxy tool (Burp Suite or Caido) running and intercepting traffic
  • Two test accounts on the target application (attacker account A, victim account B)
  • No external tools are required — this skill is a cognitive framework

Inputs

Variable Required Description
BB_TARGET Yes Target domain or program name
BB_SCOPE Yes In-scope assets (domains, features, APIs)
BB_SESSION_GOAL Yes One of: Confidentiality, Integrity, Availability, ATO, RCE
BB_VULN_CLASS Yes 1-2 vuln classes to focus on this session (e.g., IDOR, SSRF)
BB_ROUTE Optional wide (breadth-first) or deep (depth-first, default: wide for new targets)
BB_TIME_LIMIT Optional Session time budget in minutes (default: 120)

Workflow

Step 1: Session start — define, select, execute

Before touching any tool, answer these three questions:

# Print your session contract — fill this in before starting
cat <<EOF
SESSION CONTRACT
===============
Target  : ${BB_TARGET}
Goal    : ${BB_SESSION_GOAL}   # One of: Confidentiality / Integrity / ATO / RCE / Availability
Focus   : ${BB_VULN_CLASS}     # 1-2 classes only (e.g., IDOR, SSRF)
Route   : ${BB_ROUTE:-wide}    # wide = many endpoints, deep = one feature thoroughly
Budget  : ${BB_TIME_LIMIT:-120} minutes
EOF

# Route selection guide
# Signal                          -> Route
# New program, first day          -> wide
# Wildcard scope *.target.com     -> wide
# Scope update (new domain added) -> wide
# Main webapp, been here >3 days  -> deep
# Found one interesting subdomain -> deep

Read the full file on GitHub · 265 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 265 lines · 27 tokens per session scan A 6d9080906f4d

Subscribe to this mod's changes

bug-bounty-methodology is a skill published in the GitHub repository woohyun212/security-skill (21 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 3,164 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens