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Solve Challenge

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ljagiello
solve-challenge

Solves CTF challenges by performing first-pass triage, identifying the dominant category, and routing execution to the right specialized ctf-* skill. Use when the user gives you a challenge bundle, a remote service, a suspicious file, or only a vague challenge description and you must determine where to start. Do not use it when the category is already clear and a specialized skill can be invoked directly; this is the dispatcher and recon entrypoint, not the deepest reference for category-specific techniques.

Overview

Publisherljagiello
Repositoryctf-skills
Skill namesolve-challenge
Stars
3.3K
Forks
380
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 ljagiello on GitHub. Read the source before you install it.

Installation

Install the Solve Challenge 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.
  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/ljagiello/ctf-skills.git /tmp/ctf-skills
mkdir -p .claude/skills
cp -r /tmp/ctf-skills/solve-challenge .claude/skills/solve-challenge
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Solve Challenge 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 Solve Challenge 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 Solve Challenge 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.

CTF Challenge Solver

You're a skilled CTF player. Your goal is to solve the challenge and find the flag.

Environment Setup

Two setup strategies depending on your workflow:

Pre-install (recommended before competitions)

Use the central installer entrypoint:

bash
bash scripts/install_ctf_tools.sh all

Run a narrower mode when you only want one tool group:

bash
bash scripts/install_ctf_tools.sh python
bash scripts/install_ctf_tools.sh apt
bash scripts/install_ctf_tools.sh brew
bash scripts/install_ctf_tools.sh gems
bash scripts/install_ctf_tools.sh go
bash scripts/install_ctf_tools.sh manual

The full package lists now live in scripts/install_ctf_tools.sh.

On-demand (during challenges)

Each category skill's SKILL.md has a Prerequisites section listing only the tools needed for that category. Install as you go.

Workflow

Step 0: CTFd Platform Detection

If the CTF platform URL is known, check if it runs CTFd and switch to API-driven navigation:

bash
# Detect CTFd (look for /api/v1/ and /themes/core/)
curl -s "$CTF_URL/api/v1/" | head -5
curl -s "$CTF_URL" | grep -oE '/themes/core/'

If CTFd is detected, ask the user for their API token (generated from CTFd Settings > Access Tokens). The token is not provided by default — the user must create one in the CTFd web UI first. Once provided, set the environment variables and proceed via API:

bash
export CTF_URL="https://ctf.example.com"
export CTF_TOKEN="ctfd_..."  # Ask user for this

Invoke /ctf-misc and load its ctfd-navigation.md for the full API reference and Python client class.

Step 1: Recon

  1. Explore files -- List the challenge directory, run file * on everything
  2. Triage binaries -- strings, xxd | head, binwalk, checksec on binaries
  3. Fetch links -- If the challenge mentions URLs, fetch them FIRST for context
  4. Connect -- Try remote services (nc) to understand what they expect
  5. Read hints -- Challenge descriptions, filenames, and comments often contain clues

Step 2: Categorize

Determine the primary category, then invoke the matching skill.

By file type:

  • .pcap, .pcapng, .evtx, .raw, .dd, .E01 -> forensics
  • .elf, .exe, .so, .dll, binary with no extension -> reverse or pwn (check if remote service provided -- if yes, likely pwn)
  • .py, .sage, .txt with numbers -> crypto
  • .apk, .wasm, .pyc -> reverse
  • .safetensors, .pt, .pth, .bin, .onnx -> ai-ml
  • Web URL or source code with HTML/JS/PHP/templates -> web
  • Images, audio, PDFs with no obvious content -> forensics (steganography)

By challenge description keywords:

  • "buffer overflow", "ROP", "shellcode", "libc", "heap" -> pwn
  • "RSA", "AES", "cipher", "encrypt", "prime", "modulus", "lattice", "LWE", "GCM" -> crypto
  • "XSS", "SQL", "injection", "cookie", "JWT", "SSRF" -> web
  • "disk image", "memory dump", "packet capture", "registry", "power trace", "side-channel", "spectrogram", "audio tracks", "MKV" -> forensics
  • "find", "locate", "identify", "who", "where" -> osint
  • "obfuscated", "packed", "C2", "malware", "beacon" -> malware
  • "prompt injection", "LoRA", "adversarial", "model weights", "embedding" -> ai-ml
  • "jail", "sandbox", "escape", "encoding", "signal", "game", "Nim", "commitment", "Gray code" -> misc

By service behavior:

  • Port with interactive prompt, crash on long input -> pwn
  • HTTP service -> web
  • netcat with math/crypto puzzles -> crypto
  • netcat with restricted shell or eval -> misc (jail)

Step 3: Invoke the Category Skill

Once you identify the category, invoke the matching skill to get specialized techniques:

CategoryInvokeWhen to Use
Web/ctf-webXSS, SQLi, SSTI, SSRF, JWT, file uploads, prototype pollution
Pwn/ctf-pwnBuffer overflow, format string, heap, ROP, sandbox escape
Crypto/ctf-cryptoRSA, AES, ECC, PRNG, ZKP, classical ciphers
Reverse/ctf-reverseBinary analysis, game clients, VMs, obfuscated code
Forensics/ctf-forensicsDisk images, memory dumps, event logs, stego, network captures
OSINT/ctf-osintSocial media, geolocation, DNS, public records
Malware/ctf-malwareObfuscated scripts, C2 traffic, PE/.NET analysis
AI/ML/ctf-ai-mlModel weights (.safetensors, .pt, .pth, .bin, .onnx), prompt injection, LoRA adapters, adversarial examples
Misc/ctf-miscJails, encodings, RF/SDR, esoteric languages, constraint solving

You can also invoke /ctf-<category> to load the full skill instructions with detailed techniques.

Step 4: Pivot When Stuck

If your first approach doesn't work:

  1. Re-examine assumptions -- Is this really the category you think? A "web" challenge might need crypto for JWT forgery. A "forensics" PCAP might contain a pwn exploit to replay.
  2. Try a different category skill -- Many challenges span multiple categories. Invoke a second skill for the cross-cutting technique.
  3. Look for what you missed -- Hidden files, alternate ports, response headers, comments in source, metadata in images.
  4. Simplify -- If an exploit is too complex, check if there's a simpler path (default creds, known CVE, logic bug).
  5. Check edge cases -- Off-by-one, race conditions, integer overflow, encoding mismatches.

Common multi-category patterns:

  • Forensics + Crypto: encrypted data in PCAP/disk image, need crypto to decrypt
  • Web + Reverse: WASM or obfuscated JS in web challenge
  • Web + Crypto: JWT forgery, custom MAC/signature schemes
  • Reverse + Pwn: reverse the binary first, then exploit the vulnerability
  • Forensics + OSINT: recover data from dump, then trace it via public sources
  • Misc + Crypto: jail escape requires building crypto primitives under constraints
  • OSINT + Stego: social media posts with unicode homoglyph steganography (Cyrillic lookalikes encode bits)
  • Web + Forensics: paywall bypass (curl reveals content hidden by CSS overlays)
  • Misc + Crypto + Game Theory: multi-phase interactive challenges with AES decryption → HMAC commitment → combinatorial game solving (GF(256) Nim)
  • Crypto + Geometry + Lattice: multi-layer challenges progressing from spatial reconstruction → subspace recovery → LWE solving → AES-GCM decryption
  • Forensics + Signal Processing: power traces / side-channel analysis requiring statistical analysis of measurement data
  • Forensics + Network + Encoding: timing-based encoding in PCAP (inter-packet intervals encode binary data)

Step 5: Generate Write-up

After solving the challenge, invoke /ctf-writeup to generate a standardized submission-style writeup — concise, reproducible, and ready for competition organizers or teammates to validate.

Flag Formats

Flags vary by CTF. Common formats:

  • flag{...}, FLAG{...}, CTF{...}, TEAM{...}
  • Custom prefixes: check the challenge description or CTF rules for the format (e.g., ENO{...}, HTB{...}, picoCTF{...})
  • Sometimes just a plaintext string with no wrapper

Validation rule (important):

  • If you find multiple flag-like strings, treat them as candidates and validate before finalizing.
  • Prefer the token tied to the intended artifact/workflow (not random metadata noise or obvious decoys).
  • Do a corpus-wide uniqueness check and include the source file/path when reporting.
bash
# Search for common flag patterns in files
grep -rniE '(flag|ctf|eno|htb|pico)\{' .
# Search in binary/memory output
strings output.bin | grep -iE '\{.*\}'

Quick Reference

bash
# Recon
file *                                    # Identify file types
strings binary | grep -i flag             # Quick string search
xxd binary | head -20                     # Hex dump header
binwalk -e firmware.bin                   # Extract embedded files
checksec --file=binary                    # Check binary protections

# Connect
nc host port                              # Connect to challenge
echo -e "answer1\nanswer2" | nc host port # Scripted input
curl -v http://host:port/                 # HTTP recon

# Python exploit template
python3 -c "
from pwn import *
r = remote('host', port)
r.interactive()
"

Challenge

$ARGUMENTS

Frequently asked questions

What does the Solve Challenge AI skill do?

Solves CTF challenges by performing first-pass triage, identifying the dominant category, and routing execution to the right specialized ctf-* skill. Use when the user gives you a challenge bundle, a remote service, a suspicious file, or only a vague challenge description and you must determine where to start. Do not use it when the category is already clear and a specialized skill can be invoked directly; this is the dispatcher and recon entrypoint, not the deepest reference for category-specific techniques.

Why use Solve Challenge on TypingMind?

Because you install it once and use it with any model. Solve Challenge 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 Solve Challenge in TypingMind?

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

Which AI models can use Solve Challenge?

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 Solve Challenge?

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

Is the Solve Challenge AI skill free?

Yes. It is published on GitHub by ljagiello 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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