Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal proceedings, or analyzing endpoint compromise scope. Activates for requests involving endpoint forensics, memory analysis, disk forensics, or incident investigation.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionperforming-endpoint-forensics-investigationExecute the skills CLI command in your project's root directory to begin installation:
Fetches performing-endpoint-forensics-investigation from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate performing-endpoint-forensics-investigation. Access via /performing-endpoint-forensics-investigation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
8.6K
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
8.6K
stars
| name | performing-endpoint-forensics-investigation |
| description | 'Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal proceedings, or analyzing endpoint compromise scope. Activates for requests involving endpoint forensics, memory analysis, disk forensics, or incident investigation. ' |
| domain | cybersecurity |
| subdomain | endpoint-security |
| tags | - endpoint - forensics - memory-analysis - disk-imaging - incident-investigation - Volatility |
| version | 1.0.0 |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.PS-01 - PR.PS-02 - DE.CM-01 - PR.IR-01 |
Use this skill when:
Do not use this skill for live threat hunting (use EDR/SIEM) or network forensics.
Collect evidence from most volatile to least volatile:
1. System memory (RAM) - Most volatile
2. Network connections and routing tables
3. Running processes and open files
4. Disk contents (file system)
5. Removable media
6. Logs and backup data - Least volatile
Memory Acquisition:
# WinPMEM (Windows)
winpmem_mini_x64.exe memdump.raw
# FTK Imager - Create memory capture via GUI
# File → Capture Memory → Destination path → Capture Memory
# Linux (LiME kernel module)
sudo insmod lime.ko "path=/evidence/memory.lime format=lime"
Volatile Data Collection:
# Capture running processes
Get-Process | Export-Csv "evidence\processes.csv" -NoTypeInformation
tasklist /v > "evidence\tasklist.txt"
# Capture network connections
netstat -anob > "evidence\netstat.txt"
Get-NetTCPConnection | Export-Csv "evidence\tcp_connections.csv"
# Capture logged-on users
query user > "evidence\logged_users.txt"
# Capture scheduled tasks
schtasks /query /fo CSV /v > "evidence\scheduled_tasks.csv"
# Capture services
Get-Service | Export-Csv "evidence\services.csv"
# Capture DNS cache
ipconfig /displaydns > "evidence\dns_cache.txt"
# FTK Imager - Create forensic disk image
# File → Create Disk Image → Physical Drive → E01 format
# Always verify image hash (MD5/SHA1) matches source
# dd (Linux)
sudo dc3dd if=/dev/sda of=/evidence/disk.dd hash=sha256 log=/evidence/imaging.log
# Verify image integrity
sha256sum /evidence/disk.dd
# Compare with hash generated during imaging
# Identify OS profile
vol -f memdump.raw windows.info
# List running processes
vol -f memdump.raw windows.pslist
vol -f memdump.raw windows.pstree
# Find hidden processes
vol -f memdump.raw windows.psscan
# Analyze network connections
vol -f memdump.raw windows.netscan
# Detect process injection
vol -f memdump.raw windows.malfind
# Extract command line arguments
vol -f memdump.raw windows.cmdline
# Analyze DLLs loaded by processes
vol -f memdump.raw windows.dlllist --pid 1234
# Extract files from memory
vol -f memdump.raw windows.filescan | grep -i "suspicious"
vol -f memdump.raw windows.dumpfiles --pid 1234
# Detect credential theft
vol -f memdump.raw windows.hashdump
vol -f memdump.raw windows.lsadump
# Registry analysis from memory
vol -f memdump.raw windows.registry.printkey --key "Software\Microsoft\Windows\CurrentVersion\Run"
Key forensic artifacts and their tools:
Prefetch Files (C:\Windows\Prefetch\):
Tool: PECmd.exe (Eric Zimmerman)
Shows: Program execution history with timestamps and run counts
Command: PECmd.exe -d "C:\Windows\Prefetch" --csv output\
ShimCache (AppCompatCache):
Tool: AppCompatCacheParser.exe
Shows: Programs that existed on system (even if deleted)
Command: AppCompatCacheParser.exe -f SYSTEM --csv output\
AmCache (C:\Windows\appcompat\Programs\Amcache.hve):
Tool: AmcacheParser.exe
Shows: Program execution with SHA1 hashes and install timestamps
Command: AmcacheParser.exe -f Amcache.hve --csv output\
NTFS artifacts ($MFT, $UsnJrnl, $LogFile):
Tool: MFTECmd.exe
Shows: Complete file system timeline including deleted files
Command: MFTECmd.exe -f "$MFT" --csv output\
Event Logs:
Tool: EvtxECmd.exe
Shows: Security, System, PowerShell, Sysmon events
Command: EvtxECmd.exe -d "C:\Windows\System32\winevt\Logs" --csv output\
Registry Hives (SAM, SYSTEM, SOFTWARE, NTUSER.DAT):
Tool: RECmd.exe with batch files
Shows: User accounts, services, installed software, USB history
Command: RECmd.exe -d "C:\Windows\System32\config" --bn BatchExamples\RECmd_Batch_MC.reb --csv output\
# Use KAPE for automated artifact collection
kape.exe --tsource C: --tdest C:\evidence\kape_output \
--target KapeTriage --module !EZParser
# Create super timeline with plaso/log2timeline
log2timeline.py timeline.plaso disk_image.E01
psort.py -o l2tcsv timeline.plaso -w timeline.csv
# Filter timeline around incident timeframe
psort.py -o l2tcsv timeline.plaso "date > '2026-02-20' AND date < '2026-02-22'" -w filtered_timeline.csv
Structure forensic report:
1. Executive Summary
2. Scope and Methodology
3. Evidence Inventory (with chain of custody)
4. Timeline of Events
5. Findings and Analysis
- Initial access vector
- Persistence mechanisms
- Lateral movement
- Data access/exfiltration
6. Indicators of Compromise (IOCs)
7. Recommendations
8. Appendices (tool output, hashes, raw evidence)
| Term | Definition |
|---|---|
| Order of Volatility | Evidence collection priority from most volatile (RAM) to least volatile (backups) |
| Chain of Custody | Documented record of evidence handling from collection to presentation |
| Write Blocker | Hardware or software device that prevents modification of source evidence |
| Super Timeline | Consolidated chronological view of all artifact timestamps for incident reconstruction |
| Prefetch | Windows artifact recording program execution history |
| ShimCache | Application compatibility artifact tracking program existence on endpoint |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
I recommend performing-endpoint-forensics-investigation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
performing-endpoint-forensics-investigation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in performing-endpoint-forensics-investigation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
performing-endpoint-forensics-investigation reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend performing-endpoint-forensics-investigation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
performing-endpoint-forensics-investigation has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in performing-endpoint-forensics-investigation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: performing-endpoint-forensics-investigation is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: performing-endpoint-forensics-investigation is focused, and the summary matches what you get after install.
performing-endpoint-forensics-investigation reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 38