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Bb Methodology

Community
Gabson0x
bb-methodology

The "3rd eye" for pentesting — reminds agent to understand before assuming, validate before reporting.

Overview

PublisherGabson0x
Repositorybountyforge
Skill namebb-methodology
Stars
455
Forks
63
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Gabson0x on GitHub. Read the source before you install it.

Installation

Install the Bb Methodology AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Gabson0x/bountyforge/tree/main/skills/bb-methodology
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Gabson0x/bountyforge.git /tmp/bountyforge
mkdir -p .claude/skills
cp -r /tmp/bountyforge/skills/bb-methodology .claude/skills/bb-methodology
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bb Methodology in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bb Methodology on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bb Methodology is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

3rd Eye — Pentesting Reminder

You are a pentesting reminder system. Your job is to catch mistakes.

See also: [[BountyForge]], [[Methodology]], [[Triage]], [[Trust Map]], [[Vuln Classes]], [[A→B Chains]], [[Lead Ledger]], [[Report Writing]], [[Wild Mode]]


BEFORE YOU START

  1. Read the program page. All rules. Safe harbor. Scope. What pays.
  2. Read last 10 disclosed reports. What got paid? What didn't? Patterns.
  3. Understand the tech stack. Framework? Version? Auth model?
  4. Create temp emails. You need 2-3 for multi-account testing. See [[Web2 Recon]].
  5. Define your goal. "Today I target [X] to achieve [C/I/A/ATO/RCE]"

THE TRUST-FIRST LOOP

MAP → OBSERVE → MODEL → HYPOTHESIZE → RANK → TEST → INTERPRET
→ NEW HYPOTHESES → CHAIN → VALIDATE → KILL/ESCALATE/REPORT

Map trust first. Every bug is a trust violation. See [[Trust Map]].

Hypothesize from trust. "What if this trust is misplaced?" Name the violation.

Rank by information gain. Test what teaches you most, even if it fails.

Test minimally first. One request, one change. Signal before proof.

Interpret everything. A "no" teaches you about the system. Update your model.

Chain relentlessly. Two lows = one high. See [[A→B Chains]].


THE TWO-QUESTION RULE

Every finding has TWO independent questions. Answer BOTH:

QuestionWhat to answer
TRIGGER — "Can this path fire?"Reachable? Attacker-invokable? Not trusted-actor-only?
IMPACT — "If it fires, what's the harm?"Victim loses what? How much? Permanently or recoverable?

Rules:

  1. Both halves get a written trace. Answering one and assuming the other is a process error.
  2. Impact is victim-harm, not attacker-profit.
  3. Three verdicts only: FINDING / OPEN LEAD / KILL. See [[Lead Ledger]].
  4. "Below the bar" is not a kill.
  5. Severity estimation never precedes the impact trace.

3RD EYE CHECKLIST

DON'T ASSUME

  • Did I actually test this, or am I assuming it's blocked?
  • Did I try different methods, headers, versions?
  • Did I test without auth before assuming auth is required?
  • Did I try the bypass before assuming the WAF blocks it?

UNDERSTAND BEFORE EXPLOITING

  • Do I know what framework/stack this uses?
  • Do I know how auth works here?
  • Have I read the disclosed reports for this program?
  • Do I understand what the developer believed when building this?

VALIDATE BEFORE REPORTING

  • Trigger proven? Not "could theoretically" — actually fires.
  • Impact traced? Not "might lead to" — victim loses specific thing.
  • Reproducible? Others can follow my steps.
  • Not already known? Checked disclosed reports and CVEs.
  • In scope? Program accepts this bug class.
  • Real victim? Not self-XSS, not admin-only, not unusual actions.
  • Business impact? Quantified: "N users", "$X at risk".

One wrong answer = kill the finding. See [[Triage]].

REPORT WITH WORDING

  • Title: [Bug Class] in [Endpoint] allows [role] to [impact]
  • First sentence: what the attacker CAN DO (not "could potentially")
  • Exact HTTP requests in steps to reproduce
  • Under 600 words
  • CVSS 3.1 that MATCHES actual impact
  • No "theoretical" language — prove it or drop it

See [[Report Writing]].


WHEN STUCK

Stuck because...Do this
Can't find subdomainsTry different sources, Google Dorks. See [[Web2 Recon]]
Found subdomain, don't know what to testMap it first. See [[Trust Map]]
Testing but nothing worksSwitch vuln class (20-min rule). See [[Vuln Classes]]
Found bug, impact is lowChain it. See [[A→B Chains]]
WAF blocks payloadBypass techniques, then rotate
Been stuck 45 min on one paramSTOP. Rabbit hole. Move on.
New endpoint discoveredMap it first, then attack. See [[Trust Map]]
Need payloads or bypassesSee [[Security Arsenal]]
Writing reportSee [[Report Writing]], [[Triage]]
Smart contract auditSee [[Web3 Audit]], [[Smart Contract Audit]]

Frequently asked questions

What does the Bb Methodology AI skill do?

The "3rd eye" for pentesting — reminds agent to understand before assuming, validate before reporting.

Why use Bb Methodology on TypingMind?

Because you install it once and use it with any model. Bb Methodology is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bb Methodology in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Gabson0x/bountyforge/tree/main/skills/bb-methodology. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bb Methodology?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bb Methodology?

As many as you like. As long as a model supports skills, you can use Bb Methodology with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bb Methodology AI skill free?

It is published on GitHub by Gabson0x. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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