solve-challenge
Skill5 starsChanged 8 months agoMITView on GitHub
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.
2 other projects use a version of this, 1 of them edited.
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- MateoBogo/CLEAVEedited, first seen Apr 23, 2026
- ljagiello/ctf-skillsword for word, first seen Mar 28, 2026
Other versions2 projects use a version of this.
Word for word · 1
- ljagiello/ctf-skills★ 3.7k100% same
Edited · 1
- MateoBogo/CLEAVE★ 477% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ctf-ai-mlSkill
- ctf-cryptoSkill
- ctf-forensicsSkill
- ctf-malwareSkill
- ctf-miscSkill
- ctf-osintSkill
- ctf-pwnSkill
- ctf-reverseSkill
- ctf-similar-searchSkill
- ctf-webSkill
- ctf-writeupSkill
The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 9 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Use the central installer entrypoint:
- Distinctive: line 29
Run a narrower mode when you only want one tool group:
- Distinctive: line 48
Before selecting or escalating a model, read difficulty-routing.md.
- Distinctive: line 54
If the CTF platform URL is known, check if it runs CTFd and switch to API-driven navigation:
- Distinctive: line 62
If CTFd is detected, ask the user for their API token (generated from CTFd Settings > Access Tokens).
- Very specific: line 73
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 …
- Distinctive: line 160
If your first approach doesn't work:
- Very specific: line 184
After solving the challenge, invoke /ctf-writeup to generate a standardized submission-style writeup — concise, reproducible, and ready for …
- Distinctive: line 194
If you find multiple flag-like strings, treat them as candidates and validate before finalizing.
- Distinctive: line 195
Prefer the token tied to the intended artifact/workflow (not random metadata noise or obvious decoys).
- Distinctive: line 196
Do a corpus-wide uniqueness check and include the source file/path when reporting.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 scripts/install_ctf_tools.sh allRun a narrower mode when you only want one tool group:
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 manualThe 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
Before selecting or escalating a model, read 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:
# 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:
export CTF_URL="https://ctf.example.com"
export CTF_TOKEN="ctfd_..." # Ask user for thisInvoke /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.
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 verdictbrowser_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.
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
- Explore files -- List the challenge directory, run
file *on everything - Triage binaries --
strings,xxd | head,binwalk,checksecon binaries - Fetch links -- If the challenge mentions URLs, fetch them FIRST for context
- Connect -- Try remote services (
nc) to understand what they expect - 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,.txtwith 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:
- 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.
- Try a different category skill -- Many challenges span multiple categories. Invoke a second skill for the cross-cutting technique.
- Look for what you missed -- Hidden files, alternate ports, response headers, comments in source, metadata in images.
- Simplify -- If an exploit is too complex, check if there's a simpler path (default creds, known CVE, logic bug).
- 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.
# 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
# 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
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

