Oss Forensics
Tommy-yw/RunbookHermes
Supply chain investigation, evidence recovery, and forensic analysis for GitHub repositories.
Agent skill
Conduct disk forensics investigations using forensic imaging, file system analysis, and timeline reconstruction, with tools such as FTK Imager, Autopsy, and The Sleuth Kit, for evidence acquisition…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-disk-forensics-investigation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/performing-disk-forensics-investigation .claude/skills/performing-disk-forensics-investigation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "performing-disk-forensics-investigation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-disk-forensics-investigation into .claude/skills/performing-disk-forensics-investigation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-disk-forensics-investigation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-disk-forensics-investigationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-disk-forensics-investigation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/performing-disk-forensics-investigation .agents/skills/performing-disk-forensics-investigation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performing-disk-forensics-investigation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-disk-forensics-investigation into .agents/skills/performing-disk-forensics-investigation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-disk-forensics-investigation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-disk-forensics-investigation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/performing-disk-forensics-investigation .cursor/skills/performing-disk-forensics-investigation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performing-disk-forensics-investigation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-disk-forensics-investigation into .cursor/skills/performing-disk-forensics-investigation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-disk-forensics-investigation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/performing-disk-forensics-investigation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-disk-forensics-investigation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/performing-disk-forensics-investigation .gemini/skills/performing-disk-forensics-investigation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performing-disk-forensics-investigation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-disk-forensics-investigation into .gemini/skills/performing-disk-forensics-investigation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-disk-forensics-investigation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-disk-forensics-investigationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/performing-disk-forensics-investigation .github/skills/performing-disk-forensics-investigation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performing-disk-forensics-investigation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-disk-forensics-investigation into .github/skills/performing-disk-forensics-investigation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-disk-forensics-investigation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-disk-forensics-investigation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/performing-disk-forensics-investigation .opencode/skills/performing-disk-forensics-investigation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performing-disk-forensics-investigation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-disk-forensics-investigation into .opencode/skills/performing-disk-forensics-investigation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-disk-forensics-investigation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
performing-disk-forensics-investigationConduct disk forensics investigations using forensic imaging, file system analysis, and timeline reconstruction, with tools such as FTK Imager, Autopsy, and The Sleuth Kit, for evidence acquisition…
Performing Disk Forensics Investigation is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Conduct disk forensics investigations using forensic imaging, file system analysis, and timeline reconstruction, with tools such as FTK Imager, Autopsy, and The Sleuth Kit, for evidence acquisition, deleted file recovery, and artifact examination. Use when a security incident requires forensic analysis of persistent storage or when evidence must be preserved for legal or HR proceedings.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security, covering Digital forensics. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Performing Disk Forensics Investigation loads about 2.7k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 915 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 915 words, ~2,684 tokens.
.claude/skills/performing-disk-forensics-investigation/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Do not use for volatile evidence (running processes, network connections); use memory forensics with Volatility instead.
Before touching any storage media, establish chain of custody:
Chain of Custody Record:
━━━━━━━━━━━━━━━━━━━━━━━
Case ID: INC-2025-1547
Evidence ID: EVD-001
Description: Samsung 870 EVO 500GB SSD
Serial Number: S5XXNJ0R912345
Source Host: WKSTN-042
Acquired By: [Analyst Name]
Date/Time: 2025-11-15T16:30:00Z
Write Blocker: Tableau T35u (S/N: T35U-12345)Produce a bit-for-bit copy of the evidence drive:
Using FTK Imager (Windows):
Using dcfldd (Linux):
# Create raw image with hash verification
dcfldd if=/dev/sdb of=/evidence/WKSTN-042.dd \
hash=sha256 hashlog=/evidence/WKSTN-042.sha256 \
bs=4096 conv=noerror,sync
# Verify image integrity
sha256sum /evidence/WKSTN-042.ddImaging Summary:
Source Drive: /dev/sdb (Samsung 870 EVO 500GB)
Image File: WKSTN-042.E01
Image Format: E01 (Expert Witness)
Source Hash: SHA-256: a1b2c3d4e5f6...
Image Hash: SHA-256: a1b2c3d4e5f6... (MATCH)
Sectors Read: 976,773,168
Errors: 0
Duration: 47 minutesOpen the forensic image in Autopsy or FTK and examine the file system:
Key Windows Artifacts to Examine:
User Activity:
- NTUSER.DAT (registry hive per user)
- UsrClass.dat (shellbags, file access history)
- Recent files: %AppData%\Microsoft\Windows\Recent\
- Jump lists: %AppData%\Microsoft\Windows\Recent\AutomaticDestinations\
Program Execution:
- Prefetch: C:\Windows\Prefetch\*.pf
- Amcache: C:\Windows\appcompat\Programs\Amcache.hve
- SRUM: C:\Windows\System32\SRU\SRUDB.dat
- ShimCache: SYSTEM registry hive
Persistence:
- Scheduled Tasks: C:\Windows\System32\Tasks\
- Startup folders: %AppData%\Microsoft\Windows\Start Menu\Programs\Startup\
- Services: SYSTEM registry hive
Network:
- WLAN profiles: C:\ProgramData\Microsoft\Wlansvc\Profiles\
- Browser history: Chrome, Firefox, Edge profile directoriesBuild a comprehensive timeline of file system activity:
Using Autopsy Timeline Module:
Using The Sleuth Kit (command line):
# Generate body file from NTFS image
fls -r -m / WKSTN-042.dd > bodyfile.txt
# Create timeline from body file
mactime -b bodyfile.txt -d > timeline.csv
# Filter timeline to investigation period
grep "2025-11-15" timeline.csv | sort > incident_timeline.csvExtract and analyze specific forensic artifacts:
Compile a forensic analysis report suitable for legal proceedings:
| Term | Definition |
|---|---|
| Forensic Image | Bit-for-bit copy of storage media that preserves all data including deleted files and unallocated space |
| Write Blocker | Hardware or software device that prevents any modification to evidence media during acquisition |
| E01 Format | Expert Witness Format used by EnCase and FTK; supports compression, metadata, and built-in hash verification |
| File Carving | Recovery technique that searches unallocated disk space for file headers and footers to reconstruct deleted files |
| MFT (Master File Table) | NTFS metadata structure containing entries for every file and directory, including deleted entries |
| MAC Timestamps | Modified, Accessed, Created timestamps on files used for timeline reconstruction (NTFS also has Entry Modified) |
| Prefetch | Windows artifact recording program execution metadata; contains execution count, timestamps, and loaded DLLs |
| Unallocated Space | Disk sectors not assigned to any file; may contain remnants of deleted files recoverable through carving |
Context: An employee submitted a resignation and is suspected of copying proprietary files to a USB drive before departing. HR requests a forensic investigation of the employee's workstation.
Approach:
Pitfalls:
DISK FORENSICS INVESTIGATION REPORT
=====================================
Case ID: INC-2025-1547
Evidence: EVD-001 (Samsung 870 EVO 500GB SSD)
Examiner: [Name]
Date of Analysis: 2025-11-16
EVIDENCE INTEGRITY
Source Hash: SHA-256: a1b2c3d4e5f6...
Image Hash: SHA-256: a1b2c3d4e5f6... (VERIFIED MATCH)
Write Blocker: Tableau T35u
PARTITION LAYOUT
Partition 1: NTFS 100 MB (System Reserved)
Partition 2: NTFS 465 GB (C: - OS and Data)
Partition 3: NTFS 500 MB (Recovery)
KEY FINDINGS
1. [Timestamp] - Malware dropper created in %TEMP% (update.exe)
2. [Timestamp] - Scheduled task "WindowsUpdate" created for persistence
3. [Timestamp] - Prefetch shows 14 executions of update.exe
4. [Timestamp] - USB device "Kingston DataTraveler" connected
5. [Timestamp] - 847 files copied to E:\ drive (ShellBag evidence)
RECOVERED ARTIFACTS
- 3 deleted malware samples recovered from unallocated space
- Browser history showing C2 panel access
- Registry evidence of disabled security software
TIMELINE
[Chronological event listing with timestamps and evidence sources]
TOOLS USED
- FTK Imager 4.7.1 (imaging)
- Autopsy 4.21.0 (analysis)
- PECmd 1.5.0 (prefetch parsing)
- MFTECmd 1.2.2 (MFT analysis)© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/performing-disk-forensics-investigation of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Performing Disk Forensics Investigation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performing Disk Forensics Investigation this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Oss ForensicsTommy-yw/RunbookHermes | 546 | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| Ctf Malwareljagiello/ctf-skills | 3.4k | — | ~2.1k | Automated safety check: Notes | MIT | |
| Dfirtransilienceai/communitytools | 563 | — | ~1.5k | Automated safety check: Pass | MIT | |
| TShark Traffic AnalysisAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.8k | Automated safety check: Notes | Custom licence | |
| Runtime Memory Sample Acquisitiondslsdzc/rev-skills | 135 | — | ~2k | Automated safety check: Pass | Apache-2.0 |
Tommy-yw/RunbookHermes
Supply chain investigation, evidence recovery, and forensic analysis for GitHub repositories.
ljagiello/ctf-skills
Provides malware analysis and network traffic techniques for CTF challenges.
transilienceai/communitytools
Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation.
AgentSecOps/SecOpsAgentKit
Guides authorized packet capture and analysis with TShark, Wireshark's command-line tool, for security investigations, malware detection and forensic examination of network traffic.
dslsdzc/rev-skills
Captures an analyzable sample from a live system when the target leaves no file on disk, by finding abnormal executable memory and the execution context that reached it.
zhaoxuya520/reverse-skill
A skill your agent uses for authorized digital forensics including memory dumps, disk timelines, PCAP investigation, artifact triage, and IR evidence preservation.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Categories
Conduct disk forensics investigations using forensic imaging, file system analysis, and timeline reconstruction, with tools such as FTK Imager, Autopsy, and The Sleuth Kit, for evidence acquisition…. Performing Disk Forensics Investigation is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Conduct disk forensics investigations using forensic imaging, file system analysis, and timeline reconstruction, with tools such as FTK Imager, Autopsy, and The Sleuth Kit, for evidence acquisition, deleted file recovery, and artifact examination.
Performing Disk Forensics Investigation fits situations like: A security incident requires forensic analysis of persistent storage; evidence must be preserved for legal.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a claude-code`. Or copy the skill folder (skills/performing-disk-forensics-investigation in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-disk-forensics-investigation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a codex`. Or copy the skill folder (skills/performing-disk-forensics-investigation in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-disk-forensics-investigation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-disk-forensics-investigation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-disk-forensics-investigation, .gemini/skills/performing-disk-forensics-investigation, .github/skills/performing-disk-forensics-investigation and .opencode/skills/performing-disk-forensics-investigation in your project.
Going by SKILL.md and its folder, Performing Disk Forensics Investigation needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Performing Disk Forensics Investigation is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 534 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Performing Disk Forensics Investigation: Oss Forensics (Tommy-yw/RunbookHermes, 546 stars), Ctf Malware (ljagiello/ctf-skills, 3.4k stars), Dfir (transilienceai/communitytools, 563 stars) and TShark Traffic Analysis (AgentSecOps/SecOpsAgentKit, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.