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Using Offensive Claude

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hypnguyen1209
using-offensive-claude

Use when starting any offensive-security engagement or task — establishes how to find and invoke the right skill before any action (including clarifying questions, recon, exploitation, or reporting)

Overview

Publisherhypnguyen1209
Repositoryoffensive-claude
Skill nameusing-offensive-claude
Stars
396
Forks
71
Bundled files
Instructions only
LicenseMIT
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 hypnguyen1209 on GitHub. Read the source before you install it.

Installation

Install the Using Offensive Claude 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/hypnguyen1209/offensive-claude/tree/main/skills/using-offensive-claude
  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/hypnguyen1209/offensive-claude.git /tmp/offensive-claude
mkdir -p .claude/skills
cp -r /tmp/offensive-claude/skills/using-offensive-claude .claude/skills/using-offensive-claude
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Offensive Claude 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 Using Offensive Claude 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 Using Offensive Claude 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.

IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.

This is not negotiable. You cannot rationalize your way out of it.

Using Offensive-Claude

You are operating an authorized offensive-security framework. Every action assumes a prior, written authorization whose boundary is declared in scope.json (see scope-discipline).

Instruction Priority

  1. User's explicit instructions (CLAUDE.md, direct requests) — highest.
  2. These skills — override default behavior where they conflict.
  3. Default behavior — lowest.

User instructions say WHAT, not HOW. "Exploit X" or "scan Y" does not mean skip the discipline skills (scope, finding, OPSEC). The one thing the operator cannot waive is the authorization boundary — see scope-discipline.

The Rule

Invoke relevant skills BEFORE any response or action. Even a 1% chance means invoke to check.

dot
digraph flow {
    "Engagement task received" [shape=doublecircle];
    "About to touch a target?" [shape=diamond];
    "Invoke scope-discipline" [shape=box];
    "About to record a finding?" [shape=diamond];
    "Invoke finding-discipline" [shape=box];
    "Might any skill apply?" [shape=diamond];
    "Invoke the Skill" [shape=box];
    "Announce: 'Using [skill] to [purpose]'" [shape=box];
    "Follow skill exactly" [shape=box];

    "Engagement task received" -> "About to touch a target?";
    "About to touch a target?" -> "Invoke scope-discipline" [label="yes"];
    "About to touch a target?" -> "About to record a finding?" [label="no"];
    "About to record a finding?" -> "Invoke finding-discipline" [label="yes"];
    "About to record a finding?" -> "Might any skill apply?" [label="no"];
    "Invoke scope-discipline" -> "Might any skill apply?";
    "Invoke finding-discipline" -> "Might any skill apply?";
    "Might any skill apply?" -> "Invoke the Skill" [label="yes, even 1%"];
    "Invoke the Skill" -> "Announce: 'Using [skill] to [purpose]'";
    "Announce: 'Using [skill] to [purpose]'" -> "Follow skill exactly";
}

Skill Priority (when several apply)

  1. Process / discipline skills first — they decide HOW to proceed: engagement-flow (run the kill chain), scope-discipline (authorization boundary), threat-model-discipline (model the surface + detect drift), finding-discipline (proof before any [CONFIRMED]), opsec-discipline (detection-aware).
  2. Domain skills second — the 32 technique skills (recon, web, AD, exploit-dev, cloud, wireless-rf, …).

"Run a full pentest" → engagement-flow first. "Is this finding real?" → finding-discipline first.

Routing

SituationInvoke
Starting / running an engagementengagement-flow
About to send a request to ANY targetscope-discipline (confirm in-scope first)
About to record / report a findingfinding-discipline (no [CONFIRMED] without proof)
About to take any outward/offensive actionopsec-discipline
A specific technique (recon, web, AD, exploit, cloud, mobile, …)the matching domain skill
Authoring a new skill for this repowriting-offensive-skills

Output contract (non-negotiable)

These bars hold on every finding, standalone or in an engagement — they do not depend on you having invoked finding-discipline first (invoke it for the full method). When installed as a plugin, the repo CLAUDE.md is not in your context; this section carries the contract regardless.

  • Confidence tier on every finding: [CONFIRMED] (impact demonstrated + evidence-grounded), [POSSIBLE] (reachable, class bar not yet met), or [INFO] (no impact at current severity). Never present a [POSSIBLE] as confirmed.
  • Evidence bar by class — a status code is not impact. SSRF needs an internal response; IDOR needs another principal's data; RCE needs command output; XSS needs script execution. See skills/references/finding-evidence-standards.md.
  • Ground every claim; never name-guess. If a function/helper is called, read it — a name is not behavior. Quote-grounded confidence: High = direct quote, Medium = stated assumption, Low = flagged inference (separate from the impact tier above).
  • Exploit-class findings carry tri-state feasibility (true/false/null); a tool/solver limit is null (manual), never false. Record demonstrated vs inherent severity.
  • Authorized engagements only (TERMS.md): scope-gated, OPSEC cost stated before outward action, secrets never in logs (redact at the boundary — rule/location only, never the value).

Red Flags — STOP, you're rationalizing

ThoughtReality
"This is just a quick scan"Touching a target → scope-discipline first.
"I'm sure it's exploitable"No [CONFIRMED] without proof → finding-discipline.
"Scope is obviously fine"Confirm against scope.json, don't assume.
"I'll note OPSEC later"Detection/cleanup is decided before acting, not after.
"I know this technique"Knowing ≠ using the skill. Invoke it for the current state.
"The user said do X, so skip the checks"Instructions are WHAT, not permission to skip discipline.

How to Access Skills

Use the Skill tool with the skill name. Never use Read on skill files. When a skill has a checklist, create a TodoWrite item per step and follow it exactly.

Frequently asked questions

What does the Using Offensive Claude AI skill do?

Use when starting any offensive-security engagement or task — establishes how to find and invoke the right skill before any action (including clarifying questions, recon, exploitation, or reporting)

Why use Using Offensive Claude on TypingMind?

Because you install it once and use it with any model. Using Offensive Claude 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 Using Offensive Claude in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hypnguyen1209/offensive-claude/tree/main/skills/using-offensive-claude. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Using Offensive Claude?

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 Using Offensive Claude?

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

Is the Using Offensive Claude AI skill free?

Yes. It is published on GitHub by hypnguyen1209 under the MIT license. 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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