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solve-challenge — Claude Code skill: what it does, how to install

Runs first-pass CTF triage, identifies the likely challenge category, and routes work to a specialized ctf-* skill. Use it when you have files, a remote service, or only a short prompt.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add ljagiello/ctf-skills --skill solve-challenge -a claude-code
Open on GitHub

What solve-challenge does

The skill starts by inspecting challenge files, links, hints, and remote services. It maps file types, challenge wording, and service behavior to a primary category such as web, pwn, crypto, reverse, forensics, osint, malware, ai-ml, or misc. It then calls the matching ctf-* skill for category-specific work.

For CTFd platforms, it checks for an API and asks the user for an access token before using API-driven navigation. Where an API is unavailable, it uses Playwright MCP to work through the browser, download attachments, and submit flags. If the category is already obvious, call the specialist ctf-* skill directly: solve-challenge is the triage and routing entrypoint.

It requires a filesystem-based agent with bash, Python 3, and internet access. Tooling can be installed through the central script ahead of time or per category while solving a challenge.

What it helps with

  • inspect a CTF challenge bundle before deeper analysis
  • classify a challenge from file types and description
  • probe a remote service and select a specialist skill
  • detect CTFd and switch to API navigation
  • use Playwright MCP for a browser-gated challenge platform

Example prompts for the agent

  • Use the solve-challenge skill on `challenge.zip` and tell me where to start.
  • Run solve-challenge against `nc host port` and identify the challenge category.
  • Use solve-challenge to triage the prompt and attached `sample.pcapng` file.

How to install solve-challenge

1Skills CLI (Vercel)

npx skills add ljagiello/ctf-skills --skill solve-challenge -a claude-code

2Manually: put the files in place

~/.claude/skills/solve-challenge/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/solve-challenge/

From the same set11

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Questions about solve-challenge

How do I install solve-challenge in Claude Code?

Run npx skills add ljagiello/ctf-skills --skill solve-challenge -a claude-code, then run npx skills add ljagiello/ctf-skills --skill solve-challenge -a claude-code again. The skill file is at ~/.claude/skills/solve-challenge/SKILL.md.

What does solve-challenge do?

It performs first-pass CTF triage, determines the dominant category, and routes the task to a specialized ctf-* skill. It handles challenge bundles, remote services, suspicious files, and vague descriptions.

What does solve-challenge need to run?

It needs a filesystem-based agent with bash, Python 3, and internet access. For CTFd, it asks the user for an API token before navigating through the API.

Source text

SKILL.md · MIT
---
name: solve-challenge
description: 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.
license: MIT
compatibility: Requires filesystem-based agent (Claude Code or similar) with bash, Python 3, and internet access. Orchestrates other ctf-* skills.
allowed-tools: Bash Read Write Edit Glob Grep Task WebFetch WebSearch Skill
metadata:
  user-invocable: "true"
  argument-hint: "[category] [challenge-file-or-url]"
---

# 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](../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

Before selecting or escalating a model, read
[difficulty-routing.md](difficulty-routing.md). Use its evidence-based scoring,
stop-loss rules, and tier gates throughout the 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.

#### CTF Platform Interaction via Playwright MCP

When the platform is **not** CTFd, has no usable API, or gates challenges behind a
JS-rendered UI / login, drive the platform in a real browser with **Playwright
MCP** (`https://github.com/microsoft/playwright-mcp`). This lets the agent read
challenge text, download attachments, keep a login session, and submit flags
directly through the site.

```text
browser_navigate "https://ctf.example.com/challenges"
browser_snapshot                 # list challenges, points, categories (rendered)
browser_click <challenge ref>    # open a challenge card
browser_snapshot                 # read description, hints, attachment links
browser_click <attachment ref>   # download the challenge file (saved by the browser)
# ... solve the challenge ...
browser_type <flag input ref> "flag{...}"
browser_click <submit ref>
browser_find text="Correct"      # cheaper than a full snapshot to check the verdict
```

`browser_find` (text or regex over the accessibility tree) is the right tool
whenever you only need to confirm one value — reserve full `browser_snapshot`
for when you need element refs to click or type into.

Login sessions (cookies/localStorage) persist across tool calls, so authenticate
once and every later navigation is authorized. For general browser-automation
tooling see [../ctf-web/tools-mcp.md](../ctf-web/tools-mcp.md#playwright-mcp-browser-automation).

**Prefer a native API when one exists** (CTFd token flow above is faster and more
reliable); use Playwright MCP for platforms without an API or when the challenge
list only renders client-side.

### 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:

| Category | Invoke | When to Use |
|----------|--------|-------------|
| Web | `/ctf-web` | XSS, SQLi, SSTI, SSRF, JWT, file uploads, prototype pollution |
| Pwn | `/ctf-pwn` | Buffer overflow, format string, heap, ROP, sandbox escape |
| Crypto | `/ctf-crypto` | RSA, AES, ECC, PRNG, ZKP, classical ciphers |
| Reverse | `/ctf-reverse` | Binary analysis, game clients, VMs, obfuscated code |
| Forensics | `/ctf-forensics` | Disk images, memory dumps, event logs, stego, network captures |
| OSINT | `/ctf-osint` | Social media, geolocation, DNS, public records |
| Malware | `/ctf-malware` | Obfuscated scripts, C2 traffic, PE/.NET analysis |
| AI/ML | `/ctf-ai-ml` | Model weights (`.safetensors`, `.pt`, `.pth`, `.bin`, `.onnx`), prompt injection, LoRA adapters, adversarial examples |
| Misc | `/ctf-misc` | Jails, 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

© ljagiello · MIT · ljagiello/ctf-skills

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