Offensive Security Research Config for Claude Code

A spec-driven offensive security framework for Claude Code — structured engagement workflows based on the Cyber Kill Chain, 31 kill-chain skills (multi-file progressive-disclosure) plus a discipline layer (a SessionStart dispatcher + 6 process/discipline skills), 8 collaborative agents, and a shared 47-file vulnerability reference library. Inspired by GitHub's spec-kit, obra/superpowers, and gadievron/raptor (crash→exploitability + OSS-repo forensics).

Quick Setup

# Method 0: Install as a Claude Code plugin (recommended — auto-loads the skill dispatcher)
/plugin marketplace add hypnguyen1209/offensive-claude
/plugin install offensive-claude@offensive-claude-marketplace

Installing as a plugin registers a SessionStart hook that injects the using-offensive-claude dispatcher into every conversation, so the skill-invocation discipline (scope → finding → OPSEC) is active from the first message.

# Method 1: One-liner install (recommended)
curl -sL https://raw.githubusercontent.com/hypnguyen1209/offensive-claude/main/install.sh | bash
# Method 2: Clone + install script
git clone https://github.com/hypnguyen1209/offensive-claude.git ~/offensive-claude
cd ~/offensive-claude && bash install.sh
# Method 3: Manual copy
git clone https://github.com/hypnguyen1209/offensive-claude.git ~/offensive-claude
cp -r ~/offensive-claude/skills ~/.claude/skills
cp -r ~/offensive-claude/agents ~/.claude/agents
cp -r ~/offensive-claude/templates ~/.claude/templates
cp -r ~/offensive-claude/workflows ~/.claude/workflows
cp -r ~/offensive-claude/commands ~/.claude/commands
cp -r ~/offensive-claude/presets ~/.claude/presets
cp ~/offensive-claude/CLAUDE.md ~/.claude/CLAUDE.md

Skills and agents activate automatically — no additional configuration needed.

Engagement Workflow

Engagements follow the Cyber Kill Chain as a structured 9-phase pipeline with quality gates:

Phase 0    Phase 1    Phase 2      Phase 3     Phase 4       Phase 5       Phase 6    Phase 7       Phase 8
SCOPE  →  RECON  →  WEAPONIZE →  DELIVERY →  EXPLOIT  →  INSTALLATION →   C2    →  ACTIONS ON →  REPORT
                                                                                    OBJECTIVES

Quick Start — Web App Pentest

/engage.init web-app --client ACME
/engage.scope                           # Define targets, ROE, authorization
/engage.recon                           # Subdomain enum, port scan, tech fingerprint
/engage.weaponize                       # Select exploits, design payloads
/engage.exploit                         # Execute exploits, document findings
/engage.report                          # Generate technical report + executive summary

Orchestration Commands

Command Phase Action
/engage.init <preset> Initialize engagement with workflow preset
/engage.scope 0 Define targets, ROE, authorization
/engage.recon 1 Passive/active reconnaissance
/engage.weaponize 2 Payload development, exploit design
/engage.deliver 3 Delivery vector execution
/engage.exploit 4 Exploitation, finding documentation
/engage.install 5 Persistence establishment
/engage.c2 6 C2 infrastructure setup
/engage.actions 7 Objectives execution, lateral movement
/engage.report 8 Report generation
/engage.status Show pipeline status and progress
/engage.gate Validate current phase gate
/engage.crash 4 Crash → root cause (rr) → reachability (gcov/trace) → empirical exploitability verdict
/engage.cvediff 2,4 Find a CVE's canonical fix commit(s) across sources, then scope-gated diff for root cause
/engage.scorecard Calibrate model verdict trust (Wilson-bounded miss-rate) to short-circuit re-validation
/engage.threatmodel 1 Materialize / lint / drift-check the engagement threat model
/engage.memory Recall prior patterns / record confirmed findings (cross-engagement learning)
/engage.pickup Resume an engagement from the engine trace (skip completed steps)

Workflow Presets

Preset Phases Use Case
web-app 0,1,2,3,4,8 OWASP-focused web application assessment
network 0,1,2,4,5,6,7,8 Internal network penetration test
red-team ALL (0-8) Full adversary simulation
cloud 0,1,4,8 AWS/Azure/GCP security audit
mobile 0,1,2,4,8 Android/iOS application pentest
ad-domain 0,1,2,4,5,7,8 Active Directory domain assessment
bug-bounty 0,1,4,8 Bug bounty vulnerability hunting

Quality Gates

Each phase transition validates:

  • Required artifacts exist (templates filled)
  • Findings have mandatory fields (CWE, CVSS, evidence, ATT&CK ID)
  • Gate PASS → suggests next phase + relevant skills
  • Gate FAIL → lists missing items

Structure

.
├── skills/                        # 31 skill modules (progressive-disclosure layout)
│   ├── recon-osint/
│   │   ├── SKILL.md               #   thin router: when-to-activate + technique map + OPSEC/detection
│   │   ├── references/            #   per-skill technique deep-dives (theory + code + detection + OPSEC)
│   │   └── scripts/               #   runnable tooling backing each technique
│   ├── coding-mastery/scripts/_lib/  # shared safety libs: scope_guard, action_guard, http_creds, redact_headers
│   ├── engagement-memory/         #   cross-engagement pattern-learning memory (support skill)
│   ├── using-offensive-claude/    #   SessionStart DISPATCHER — skill-invocation discipline
│   ├── engagement-flow/           #   process skills: sequence the kill chain,
│   ├── scope-discipline/          #   no target without authorization,
│   ├── threat-model-discipline/   #   model the attack surface + detect drift before exploiting,
│   ├── finding-discipline/        #   no [CONFIRMED] without proof,
│   ├── opsec-discipline/          #   detection/cleanup/redaction before acting,
│   ├── writing-offensive-skills/  #   authoring conventions
│   ├── exploit-development/
│   ├── ...
│   └── references/                # shared 47-file vulnerability pattern library
├── .claude-plugin/                # plugin.json + marketplace.json (install as a Claude Code plugin)
├── hooks/                         # SessionStart hook that injects the dispatcher every session
├── .devcontainer/                 # reproducible binary-analysis toolchain (rr/gdb/gcov/afl++) for the
│                                  #   crash→exploitability pipeline; scoped SYS_PTRACE/SYS_PERFMON, not --privileged
├── agents/                        # 8 collaborative sub-agents (incl. finding-validator, finding-checker)
├── engine/                        # bounded, resumable, traceable autopilot runner
│   ├── engine.py                  #   phase runner (budget + loop-detect + trace + resume; not an LLM)
│   ├── budget.py  loop_detector.py  tracer.py
│   ├── rebuttal.py                #   bounded generator↔checker rebuttal loop (default-to-skeptic)
│   └── model_scorecard.py         #   Wilson-bounded, fail-closed model-verdict trust calibration
├── tests/                         # pytest suite for the safety-critical scripts (run: pytest)
├── templates/                     # Structured templates per Kill Chain phase
│   ├── scope/                     #   scope-definition + scope.schema.json/example (machine-readable ROE)
│   ├── threat-model/              #   threat model (assets/entry-points/boundaries/ATT&CK) + drift baseline
│   └── ... (recon, weaponize, delivery, exploit, install, c2, actions, report)
├── workflows/                     # Kill Chain workflow definitions (YAML) + WORKFLOW-ENGINE.md
├── commands/                      # /engage.* orchestration slash commands (incl. memory, pickup)
├── presets/                       # Engagement type presets (7 presets)
├── .github/                       # SECURITY.md (coordinated disclosure) + CI (workflows/tests.yml)
├── TERMS.md                       # Acceptable-use policy / authorization requirement
├── CLAUDE.md                      # System prompt & behavior config
├── settings.json                  # Claude Code settings, permissions, MCP servers
├── install.sh                     # One-liner install script
└── README.md

Safety, Testing & Autonomy

The framework's safety controls are executable, not prose, and covered by an automated test suite:

Control What it does
scope_guard.py Enforces the engagement scope (scope.json); host parsing matches HTTP clients (userinfo/IPv6/IDN safe), fails closed
validate_findings.py Evidence-grounding + per-class FP harness via structured proof signals; native-bug reachability bar (gcov/trace) + [EVD-XXX] citation gate (evidence_kit.py re-verifiable evidence)
safe_subprocess.py Hardened exec for untrusted inputs/repos: shell=False, clean env, bounded+fail-closed, UTF-8 decode, git_safe() (hooks/prompt/host-config/ext-transport disabled)
action_guard.py 3-state gate (allow / require_approval / block): out-of-scope → block, safe-method policy, per-host circuit breaker
redact_headers.py Masks Authorization/Cookie/API-key/JWT at the data boundary (fail-closed) before traffic reaches the model
finding-checker + engine/rebuttal.py Blind artifact-only adversarial checker driving a bounded generator↔checker rebuttal loop (default-to-skeptic; EXHAUSTED/STALLED never accept)
engine/model_scorecard.py Fail-closed model-verdict trust calibration (Wilson 95% upper-bound miss-rate) to short-circuit re-validation only on a proven track record
engagement-memory/ Persists confirmed findings as impact-ranked patterns; recalls top-N prior techniques at recon/weaponize
engine/ Bounded autopilot: hard step/time budget, loop detection, append-only trace, --resume; offensive actions stay operator-gated
tests/ + CI pytest suite (run pytest); GitHub Actions runs it + byte-compile (skills/ + engine/) + shellcheck on every push

All safety code is adversarially red-teamed and regression-tested. See TERMS.md for the authorization requirement — every request the toolkit sends is the operator's responsibility.

Crash → Exploitability Pipeline

For native memory-corruption work, a staged-proof pipeline turns "it crashes" into a defensible, artefact-backed exploitability verdict — run via /engage.crash in the .devcontainer/ toolchain:

  1. Root causerr deterministic record/replay reverse-steps to the corrupting write (rr_root_cause.sh, emits a trace_proof).
  2. Reachabilitygcov line-hit / function trace proves the vulnerable line actually ran; the harness will not mark a native bug [CONFIRMED] without a coverage_proof/trace_proof.
  3. Empirical feasibility — rebuild the crash witness under permissive/distro/hardened/asan profiles and record which still fire (feasibility_profile.py); exploit_context.py then forbids /exploit from using a technique the empirical mitigation map marks blocked.
  4. Path feasibility — branch guards → tri-state SAT/UNSAT (path_conditions.py, Z3 optional; a tool limit is null/manual, never a false "infeasible").

Supporting tools: evidence_kit.py (typed, re-verifiable [EVD-XXX] evidence), variant_hunt.py (one finding → all siblings, clustered by root cause), cve_diff.py (multi-source fix-commit discovery → scope-gated diff), and the incident-response repo-compromise forensics kit.

Skill-Invocation Discipline (dispatcher + process skills)

Installed as a plugin, a SessionStart hook injects the using-offensive-claude dispatcher into every conversation: if there's even a 1% chance a skill applies, invoke it before acting. Process / discipline skills come before domain skills (the offensive analog of brainstorming / TDD / debugging):

Process skill Rule Backed by
engagement-flow Sequence the kill chain with quality gates /engage.*, engine/
scope-discipline No target without authorization scope_guard.py, action_guard.py
threat-model-discipline Model the attack surface + detect drift before exploiting threatmodel_lint.py, /engage.threatmodel
finding-discipline No [CONFIRMED] without proof validate_findings.py, finding-validator, finding-checker
opsec-discipline Decide detection / cleanup / redaction before acting redact_headers.py
writing-offensive-skills Conventions for authoring skills in this repo

Each discipline skill carries an Iron Law + Red-Flags + Rationalizations table (resists shortcutting under pressure). The dispatcher auto-loads; domain skills below are invoked via the Skill tool.

Skills (31 domain)

Each skill is a progressive-disclosure module: a thin SKILL.md router (when-to-activate, a technique map of technique → ATT&CK ID → CWE → reference → script, and an OPSEC/detection summary), backed by per-skill references/ deep-dives and runnable scripts/. Every technique pairs the offensive path with a Sigma/EDR detection signature and OPSEC notes, and cites current (2024–2026) CVEs/techniques. Descriptions use Use when… triggers so the dispatcher routes to the right skill.

# Skill Kill Chain Coverage
01 recon-osint Recon Subdomain enum, CVE lookup, breach intel, DNS history, Shodan/Censys
02 vulnerability-analysis Recon, Exploit Taint analysis, source-sink tracing, false positive discipline
03 exploit-development Weaponize, Exploit ROP chains, heap exploitation, shellcode, deserialization, mitigation bypass
04 reverse-engineering Weaponize, Exploit IDA/Ghidra, Frida, angr, firmware extraction, anti-RE bypass
05 web-pentest Delivery, Exploit SQLi, XSS, SSRF, race conditions, GraphQL, JWT, business logic
06 network-attack Recon, Actions AD exploitation, lateral movement, pivoting, wireless, protocol attacks
07 red-team-ops Install, Actions C2, persistence, privesc, defense evasion, LOLBins, exfiltration
08 cloud-security Recon, Exploit AWS/Azure/GCP privesc, container escape, Kubernetes, IaC review
09 malware-analysis Weaponize Static/dynamic analysis, YARA rules, unpacking, C2 protocol RE
10 ai-security Recon, Exploit Prompt injection, RAG poisoning, model extraction, adversarial ML
11 threat-hunting Report MITRE ATT&CK mapping, Sigma rules, log correlation, behavioral detection
12 privesc-linux Exploit, Actions SUID, capabilities, sudo, kernel exploits, Docker escape, cron abuse
13 privesc-windows Exploit, Actions Token abuse, service exploitation, UAC bypass, credential harvesting
14 coding-mastery Weaponize Python/C/Go/Rust/ASM for exploit dev, scanners, C2, crypto
15 crypto-analysis Recon, Exploit TLS auditing, hash cracking, RSA attacks, side-channel, implementation review
16 incident-response Report Memory forensics (Volatility), timeline analysis, IOC extraction, containment, repo/OSS-compromise forensics (dangling-commit recovery, GH Archive / Wayback / Events API)
17 edr-evasion Delivery, Install Hook unhooking, direct/indirect syscalls, AMSI/ETW bypass, sleep masking
18 initial-access Delivery HTML smuggling, ISO/MOTW bypass, DLL sideload, staged payloads, phishing
19 shellcode-dev Weaponize PEB walk, API hashing, loaders, PE-to-shellcode, cross-platform
20 windows-mitigations Exploit ASLR/DEP/CFG/CET/ACG bypass, WDAC/ASR bypass, PPL exploitation
21 windows-boundaries Exploit, Install Kernel/user boundary, sandbox escape, AppContainer, COM elevation
22 keylogger-arch Install, Actions SetWindowsHookEx, RawInput, direct HID, ETW capture, stealth IOCs
23 mobile-pentest Recon, Exploit Android/iOS, Frida, SSL pinning bypass, exported components, biometric bypass
24 advanced-redteam C2, Actions C2 infra (redirectors, malleable profiles), OPSEC, tiered infrastructure
25 active-directory-attack Exploit, Actions Kerberoasting, NTLM relay, Golden/Silver Ticket, ADCS, delegation abuse
26 cicd-supply-chain Weaponize, Delivery Pipeline poisoning (Actions/GitLab/Jenkins), dependency confusion, OIDC abuse, SLSA/provenance
27 ai-agent-redteam Delivery, Exploit Agentic AI/MCP tool abuse, indirect prompt-injection chains, RAG/memory poisoning, jailbreaks
28 container-k8s-escape Exploit, Actions Container breakout, runc CVEs, K8s RBAC escalation, admission/ingress attacks, node pivot
29 browser-exploitation Weaponize, Exploit V8/JSC JIT type confusion, heap-sandbox & renderer→browser escape, Electron/IPC RCE
30 macos-offensive Exploit, Install TCC/Gatekeeper bypass, keychain, LaunchAgent persistence, ESF evasion (planned)
31 engagement-memory Recon, Weaponize, Report Cross-engagement pattern learning — ranked recall of prior techniques (support)

Agents (8)

Agent Layer Active Phases Role
redteam-planner Planning Scope, Recon, Weaponize, Actions Attack path design, OPSEC strategy
exploit-researcher Execution Recon, Weaponize, Exploit CVE research, exploit chain development
security-reviewer Analysis Recon, Exploit, Report Finding validation, gate checks
reverse-engineer Execution Weaponize, Exploit, Install Binary analysis, vulnerability discovery
ai-researcher Execution Recon, Weaponize, Exploit AI/ML security assessment
network-analyst Analysis Recon, Delivery, C2, Actions Protocol analysis, C2 review
finding-validator Analysis Exploit, Actions, Report Adversarial PASS/KILL/DOWNGRADE verdict on findings
finding-checker Analysis Exploit, Actions, Report Blind artifact-only checker driving the bounded generator↔checker rebuttal loop

Agents collaborate through structured handoffs — planning agents feed execution agents, execution agents feed analysis agents for validation.

Vulnerability References (47 files)

Detailed patterns with vulnerable/secure code examples, organized by category:

  • Taint Analysis (4): source-sink tracing, filter evaluation, threat model, false positive reduction
  • Memory Safety (7): buffer overflow, integer overflow, UAF, null deref, OOB read, unsafe Rust
  • Injection (11): SQL, command, XSS, SSRF, SSTI, XXE, deserialization, path traversal, file upload, prototype pollution, ReDoS
  • Authentication (8): bypass, authorization flaws, session management, hardcoded creds, default creds, brute force, permissions
  • Cryptography (4): weak algorithms, key management, side-channel, certificate validation
  • Concurrency (3): race conditions, TOCTOU, established patterns
  • Web/API (5): CORS, CSRF, open redirect, resource exhaustion, API security
  • Supply Chain (3): dependency confusion, code integrity, ML model files
  • Active Directory (1): delegation, GPO abuse, RODC, SCCM/WSUS, ADCS, trust attacks

MCP Servers

Server Purpose
mitm-search Web search via mcp.mitm.vn
ida-multi-mcp IDA Pro integration (decompile, rename, xrefs, patching)
jadx-mcp-server Android APK decompilation and analysis

How It Works

  1. Claude Code reads CLAUDE.md — sets offensive security persona with Kill Chain methodology
  2. Use /engage.init <preset> to start a structured engagement, or use skills standalone
  3. Each phase has templates, quality gates, skill mappings, and agent coordination
  4. Agents collaborate through structured handoffs — planning → execution → analysis layers
  5. Quality gates validate findings before phase transitions (CWE, CVSS, evidence required)
  6. Reports are generated from structured finding records with evidence linking

Customization

  • Add skills: create skills/<name>/SKILL.md with YAML frontmatter including kill_chain metadata
  • Add agents: create agents/<name>.md with layer, phases, and collaboration metadata
  • Add workflows: create workflows/<name>.yml following the workflow schema
  • Add presets: create presets/<name>/preset.yml with phase/skill/agent selection
  • Add templates: create templates/<phase>/<name>.md with gate and dependency metadata
  • Add MCP servers: edit mcpServers in settings.json

Requirements

  • Claude Code CLI, Desktop App, or VS Code extension
  • For MCP integrations: IDA Pro with ida-multi-mcp plugin, JADX with MCP server