forensics
Skill12 starsChanged 9 months agoMITView on GitHub
Solve CTF forensics challenges: memory dumps, network captures, disk images, and file carving. Use when you see: .vmem .raw .dmp memory dumps, .pcap .pcapng network captures, .dd .E01 disk images, or embedded/hidden files. Triggers: "memory dump", "packet capture", "disk image", "file carving", "deleted files", "volatility". Tools: volatility3, binwalk, foremost, tshark, sleuthkit. NOT for steganography (use stego) or binary exploitation (use pwn).
5 other projects use a version of this.
Adopted by
Most recently taken up by
- buildomator/buildomatortheir own version, first seen Nov 4, 2026
- kazzarahw/skillstheir own version, first seen Sep 30, 2026
- jaskaranhundal/usap-skillstheir own version, first seen Sep 5, 2026
- Shad0wMazt3r/The-Scaffoldingtheir own version, first seen Apr 24, 2026
- ffsshhttiikk/opencode-agents-skillstheir own version, first seen Feb 28, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- buildomator/buildomator★ 102same name
- jaskaranhundal/usap-skills★ 4same name
- Shad0wMazt3r/The-Scaffolding★ 3same name
- ffsshhttiikk/opencode-agents-skills★ 2same name
- kazzarahw/skills★ 0same name
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.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Use this command for challenges involving:
- Very specific: line 47
Read the JSON next_steps object to decide what to do:
- Very specific: line 90
All scripts produce === PARSED RESULTS (JSON) === sections.
- Very specific: line 101
When using /ctf-kit:team-solve with a forensics challenge, the lead spawns 3 specialists:
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CTF Forensics
Analyze and solve forensics challenges.
When to Use
Use this command for challenges involving:
- Memory dumps (.vmem, .raw, .dmp)
- Network captures (.pcap, .pcapng)
- Disk images (.dd, .E01, .raw)
- Embedded/hidden files
- File carving
- Timeline analysis
Bundled Scripts
- check-tools.sh — Verify required forensics tools are installed
- run-binwalk.sh — Scan and extract embedded files. Outputs JSON with signatures, file types, and extraction suggestions.
- run-volatility.sh — Run volatility3 plugins on memory dumps. Outputs JSON with parsed table data and suspicious process detection.
- run-tshark.sh — Analyze PCAP files with protocol statistics. Outputs JSON with protocols, conversations, and HTTP/DNS/FTP suggestions.
- extract-and-analyze.sh — Multi-step pipeline: binwalk extract → file type each → strings on interesting files → flag search. Chains extraction with analysis automatically.
Instructions
- First check tool availability:
bash scripts/check-tools.sh For quick embedded file detection:
bash scripts/run-binwalk.sh $ARGUMENTS bash scripts/run-binwalk.sh <file> --extract # also extractRead the JSON
next_stepsobject to decide what to do:has_archives: true→ extract withbinwalk -ehas_executables: true→ analyze with strings/disassemblerhas_images: true→ check with/ctf-kit:stego
For full extract-and-analyze pipeline (chains binwalk → file → strings):
bash scripts/extract-and-analyze.sh <file>This automatically extracts embedded files, identifies their types, searches for flags and secrets, and suggests next skills to use.
For memory dumps:
bash scripts/run-volatility.sh <dump> # system info bash scripts/run-volatility.sh <dump> windows.pslist # processes bash scripts/run-volatility.sh <dump> windows.netscan # network bash scripts/run-volatility.sh <dump> windows.cmdline # commandsThe JSON output includes parsed table data and flags suspicious processes.
For network captures:
bash scripts/run-tshark.sh <pcap> bash scripts/run-tshark.sh <pcap> "http.request" # with filterThe JSON includes protocol detection (
has_http,has_dns,has_tls) with specific extraction commands.
Multi-Step Workflow
The scripts are designed to chain. A typical forensics workflow:
run-binwalk.sh challenge.bin→ JSON shows archives insideextract-and-analyze.sh challenge.bin→ extracts and analyzes each file- Based on JSON
suggestions, follow up with specific tools
Output Format
All scripts produce === PARSED RESULTS (JSON) === sections. Key fields:
| Field | Description |
signatures | Embedded file signatures found |
file_types | Types of embedded files |
next_steps | Boolean flags for what was found |
suggestions | Actionable next commands |
Team Roles
When using /ctf-kit:team-solve with a forensics challenge, the lead spawns 3 specialists:
| Role | Teammate Name | Focus | Tools | First Action |
| File & Disk | file-carver | File carving, embedded data extraction, disk image mounting, deleted file recovery, filesystem analysis | binwalk, foremost, scripts/run-binwalk.sh, scripts/extract-and-analyze.sh | Run extract-and-analyze pipeline on all challenge files |
| Memory | memory-analyst | Volatility3 plugins, process trees, registry hives, command history, DLL injection, malware indicators | volatility3, scripts/run-volatility.sh | Run pslist, netscan, cmdline, filescan on memory dump |
| Network | network-analyst | Protocol analysis, stream reconstruction, credential extraction, DNS exfiltration, HTTP object carving | tshark, scripts/run-tshark.sh | Run tshark stats, extract HTTP objects, check DNS queries |
When to broadcast
- File carver: "Extracted N files, found image/pcap/binary inside" — other specialists claim the extracted file
- Memory: "Found suspicious process PID with network connection to X" — network analyst filters for that IP
- Network: "HTTP POST contains credentials / encoded data" — file carver or memory analyst cross-references
- Any: "Found the flag" — immediate broadcast, all stop
Example Usage
/ctf-kit:forensics memory.raw
/ctf-kit:forensics capture.pcap
/ctf-kit:forensics disk.imgDoes it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.

