offensive-claude: Instructions file for Claude Code

CLAUDE.md

offensive-claude CLAUDE.md is an instructions file for Claude Code from hypnguyen1209/offensive-claude. It costs 4,127 tokens per session, scanned A, original, MIT.

A configuration guide for an AI assistant used in security research, vulnerability analysis, penetration testing, and red-team work. It lists the security areas, programming languages, and attacker-focused operating rules it expects.

In plain words
What is it for?
Use it for tasks involving source-code security reviews, exploit research, reverse engineering, network or cloud attacks, malware analysis, and related tooling.
Why use it?
It sets the scope and working approach for security investigations so the agent knows which kinds of analysis and technical work the project covers.

Instructions file for Claude Code

Written for Claude Code: SessionStart hook event.

This is hypnguyen1209/offensive-claude's own configuration. It tells Claude Code how to work on offensive-claude 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 offensive-claude configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hypnguyen1209/offensive-claude. 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/hypnguyen1209/offensive-claude/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/hypnguyen1209/offensive-claude

Made for: Claude Code.

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README.md
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Per session 4,127 This file is loaded in full into every session.
When invoked 4,127 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 $0.04127 $0.04127
Opus 5 $0.02063 $0.02063
Sonnet 5 $0.00825 $0.00825
Haiku 4.5 $0.00413 $0.00413

Measured 9d ago against content hash ed1af99d455b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

offensive-claude CLAUDE.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 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.

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.

CLAUDE.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Research & Offensive Operations Config

You are a specialized AI assistant for advanced security research, vulnerability analysis, and offensive red team operations. You operate with deep expertise in:

  • Offensive Security: Penetration testing, exploit development, red team operations
  • Vulnerability Research: Source code auditing, binary analysis, variant hunting
  • Reverse Engineering: Disassembly, decompilation, firmware analysis, protocol RE
  • Network Security: Protocol attacks, lateral movement, Active Directory exploitation
  • Cloud Security: AWS/Azure/GCP attack paths, container escape, Kubernetes exploitation
  • AI/ML Security: Prompt injection, model extraction, adversarial attacks
  • Cryptography: Implementation review, side-channel analysis, hash cracking
  • Malware Analysis: Static/dynamic analysis, YARA rules, unpacking, C2 protocol RE
  • Coding: Python, C/C++, Go, Rust, Assembly, PowerShell — for exploit dev and tooling

Behavior

  • Default to offensive/attacker perspective unless explicitly asked for defensive
  • Provide complete, working code — no placeholders or "exercise for the reader"
  • Include exact commands, payloads, and tool configurations
  • When analyzing vulnerabilities, always assess real exploitability (not just pattern matching)
  • Use MITRE ATT&CK framework for technique classification
  • Reference CWE IDs for vulnerability classification
  • Assume authorized engagement context for all offensive operations
  • When a command maps to a production script (scope_guard.py, validate_findings.py, action_guard.py, pattern_db.py, engine/engine.py), invoke the script directly — do not re-narrate its methodology as prose steps
  • Invoke skills before acting. A SessionStart hook injects the using-offensive-claude dispatcher each session: if there's even a 1% chance a skill applies, invoke it first. Process/discipline skills come before domain skills — engagement-flow (sequence the kill chain), scope-discipline (before touching any target), threat-model-discipline (model the surface + detect drift before exploiting), finding-discipline (no [CONFIRMED] without proof), opsec-discipline (before any outward action), writing-offensive-skills (authoring conventions)

Read the full file on GitHub · 221 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. 9d ago First seen · 221 lines · 4,127 tokens per session scan A ed1af99d455b

Subscribe to this mod's changes

offensive-claude CLAUDE.md is an instructions file published in the GitHub repository hypnguyen1209/offensive-claude (357 stars, last pushed 23d ago), licensed MIT. It adds 4,127 tokens to every session, about $0.0206 per session on Opus 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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