Enterprise Agent Ops
affaan-m/ECC
Operational controls for long-lived or cloud-hosted agent systems — runtime lifecycle (start, pause, stop, restart), observability (logs, metrics, traces), least-privilege safety scopes and kill…
Agent skill
Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill acquiring-disk-image-with-dd-and-dcfldd -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills acquiring-disk-image-with-dd-and-dcfldd --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/acquiring-disk-image-with-dd-and-dcfldd .claude/skills/acquiring-disk-image-with-dd-and-dcfldd && 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 "acquiring-disk-image-with-dd-and-dcfldd" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/acquiring-disk-image-with-dd-and-dcfldd into .claude/skills/acquiring-disk-image-with-dd-and-dcfldd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acquiring-disk-image-with-dd-and-dcfldd", 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/acquiring-disk-image-with-dd-and-dcflddType 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 acquiring-disk-image-with-dd-and-dcfldd -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills acquiring-disk-image-with-dd-and-dcfldd --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/acquiring-disk-image-with-dd-and-dcfldd .agents/skills/acquiring-disk-image-with-dd-and-dcfldd && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "acquiring-disk-image-with-dd-and-dcfldd" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/acquiring-disk-image-with-dd-and-dcfldd into .agents/skills/acquiring-disk-image-with-dd-and-dcfldd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acquiring-disk-image-with-dd-and-dcfldd", 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 acquiring-disk-image-with-dd-and-dcfldd -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills acquiring-disk-image-with-dd-and-dcfldd --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/acquiring-disk-image-with-dd-and-dcfldd .cursor/skills/acquiring-disk-image-with-dd-and-dcfldd && 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 "acquiring-disk-image-with-dd-and-dcfldd" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/acquiring-disk-image-with-dd-and-dcfldd into .cursor/skills/acquiring-disk-image-with-dd-and-dcfldd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acquiring-disk-image-with-dd-and-dcfldd", 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/acquiring-disk-image-with-dd-and-dcfldd--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 acquiring-disk-image-with-dd-and-dcfldd -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills acquiring-disk-image-with-dd-and-dcfldd --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/acquiring-disk-image-with-dd-and-dcfldd .gemini/skills/acquiring-disk-image-with-dd-and-dcfldd && 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 "acquiring-disk-image-with-dd-and-dcfldd" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/acquiring-disk-image-with-dd-and-dcfldd into .gemini/skills/acquiring-disk-image-with-dd-and-dcfldd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acquiring-disk-image-with-dd-and-dcfldd", 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 acquiring-disk-image-with-dd-and-dcflddInstalls 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 acquiring-disk-image-with-dd-and-dcfldd -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/acquiring-disk-image-with-dd-and-dcfldd .github/skills/acquiring-disk-image-with-dd-and-dcfldd && 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 "acquiring-disk-image-with-dd-and-dcfldd" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/acquiring-disk-image-with-dd-and-dcfldd into .github/skills/acquiring-disk-image-with-dd-and-dcfldd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acquiring-disk-image-with-dd-and-dcfldd", 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 acquiring-disk-image-with-dd-and-dcfldd -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 acquiring-disk-image-with-dd-and-dcfldd --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/acquiring-disk-image-with-dd-and-dcfldd .opencode/skills/acquiring-disk-image-with-dd-and-dcfldd && 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 "acquiring-disk-image-with-dd-and-dcfldd" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/acquiring-disk-image-with-dd-and-dcfldd into .opencode/skills/acquiring-disk-image-with-dd-and-dcfldd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acquiring-disk-image-with-dd-and-dcfldd", 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.
acquiring-disk-image-with-dd-and-dcflddCreate forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition.
Acquiring Disk Image With Dd And Dcfldd is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
Its SKILL.md is about 2.2k 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 DevOps & Cloud, covering Incident response. It works with Linux. 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.
Shell commands in SKILL.md call:
apt-getsshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.
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.
Acquiring Disk Image With Dd And Dcfldd loads about 2.2k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 477 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). 477 words, ~2,200 tokens.
.claude/skills/acquiring-disk-image-with-dd-and-dcfldd/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.dd (pre-installed on all Linux systems) or dcfldd (enhanced forensic version)sha256sum, md5sum)# List all connected block devices to identify the target
lsblk -o NAME,SIZE,TYPE,MOUNTPOINT,MODEL
# Verify the device details
fdisk -l /dev/sdb
# Enable software write-blocking (if no hardware blocker)
blockdev --setro /dev/sdb
# Verify read-only status
blockdev --getro /dev/sdb
# Output: 1 (means read-only is enabled)
# Alternatively, use udev rules for persistent write-blocking
echo 'SUBSYSTEM=="block", ATTRS{serial}=="WD-WCAV5H861234", ATTR{ro}="1"' > /etc/udev/rules.d/99-writeblock.rules
udevadm control --reload-rules# Create case directory structure
mkdir -p /cases/case-2024-001/{images,hashes,logs,notes}
# Document source drive information
hdparm -I /dev/sdb > /cases/case-2024-001/notes/source_drive_info.txt
# Record the serial number and model
smartctl -i /dev/sdb >> /cases/case-2024-001/notes/source_drive_info.txt
# Pre-hash the source device
sha256sum /dev/sdb | tee /cases/case-2024-001/hashes/source_hash_before.txt# Basic dd acquisition with progress and error handling
dd if=/dev/sdb of=/cases/case-2024-001/images/evidence.dd \
bs=4096 \
conv=noerror,sync \
status=progress 2>&1 | tee /cases/case-2024-001/logs/dd_acquisition.log
# For compressed images to save space
dd if=/dev/sdb bs=4096 conv=noerror,sync status=progress | \
gzip -c > /cases/case-2024-001/images/evidence.dd.gz
# Using dd with a specific count for partial acquisition
dd if=/dev/sdb of=/cases/case-2024-001/images/first_1gb.dd \
bs=1M count=1024 status=progress# Install dcfldd if not present
apt-get install dcfldd
# Acquire image with built-in hashing and split output
dcfldd if=/dev/sdb \
of=/cases/case-2024-001/images/evidence.dd \
hash=sha256,md5 \
hashwindow=1G \
hashlog=/cases/case-2024-001/hashes/acquisition_hashes.txt \
bs=4096 \
conv=noerror,sync \
errlog=/cases/case-2024-001/logs/dcfldd_errors.log
# Split large images into manageable segments
dcfldd if=/dev/sdb \
of=/cases/case-2024-001/images/evidence.dd \
hash=sha256 \
hashlog=/cases/case-2024-001/hashes/split_hashes.txt \
bs=4096 \
split=2G \
splitformat=aa
# Acquire with verification pass
dcfldd if=/dev/sdb \
of=/cases/case-2024-001/images/evidence.dd \
hash=sha256 \
hashlog=/cases/case-2024-001/hashes/verification.txt \
vf=/cases/case-2024-001/images/evidence.dd \
verifylog=/cases/case-2024-001/logs/verify.log# Hash the acquired image
sha256sum /cases/case-2024-001/images/evidence.dd | \
tee /cases/case-2024-001/hashes/image_hash.txt
# Compare source and image hashes
diff <(sha256sum /dev/sdb | awk '{print $1}') \
<(sha256sum /cases/case-2024-001/images/evidence.dd | awk '{print $1}')
# If using split images, verify each segment
sha256sum /cases/case-2024-001/images/evidence.dd.* | \
tee /cases/case-2024-001/hashes/split_image_hashes.txt
# Re-hash source to confirm no changes occurred
sha256sum /dev/sdb | tee /cases/case-2024-001/hashes/source_hash_after.txt
diff /cases/case-2024-001/hashes/source_hash_before.txt \
/cases/case-2024-001/hashes/source_hash_after.txt# Generate acquisition report
cat << 'EOF' > /cases/case-2024-001/notes/acquisition_report.txt
DISK IMAGE ACQUISITION REPORT
==============================
Case Number: 2024-001
Date/Time: $(date -u +"%Y-%m-%d %H:%M:%S UTC")
Examiner: [Name]
Source Device: /dev/sdb
Model: [from hdparm output]
Serial: [from hdparm output]
Size: [from fdisk output]
Acquisition Tool: dcfldd v1.9.1
Block Size: 4096
Write Blocker: [Hardware/Software model]
Image File: evidence.dd
Image Hash (SHA-256): [from hash file]
Source Hash (SHA-256): [from hash file]
Hash Match: YES/NO
Errors During Acquisition: [from error log]
EOF
# Compress logs for archival
tar -czf /cases/case-2024-001/acquisition_package.tar.gz \
/cases/case-2024-001/hashes/ \
/cases/case-2024-001/logs/ \
/cases/case-2024-001/notes/| Concept | Description |
|---|---|
| Bit-for-bit copy | Exact replica of source including unallocated space and slack space |
| Write blocker | Hardware or software mechanism preventing writes to evidence media |
| Hash verification | Cryptographic hash comparing source and image to prove integrity |
| Block size (bs) | Transfer chunk size affecting speed; 4096 or 64K typical for forensics |
| conv=noerror,sync | Continue on read errors and pad with zeros to maintain offset alignment |
| Chain of custody | Documented trail proving evidence has not been tampered with |
| Split imaging | Breaking large images into smaller files for storage and transport |
| Raw/dd format | Bit-for-bit image format without metadata container overhead |
| Tool | Purpose |
|---|---|
| dd | Standard Unix disk duplication utility for raw imaging |
| dcfldd | DoD Computer Forensics Laboratory enhanced version of dd with hashing |
| dc3dd | Another forensic dd variant from the DoD Cyber Crime Center |
| sha256sum | SHA-256 hash calculation for integrity verification |
| blockdev | Linux command to set block device read-only mode |
| hdparm | Drive identification and parameter reporting |
| smartctl | S.M.A.R.T. data retrieval for drive health and identification |
| lsblk | Block device enumeration and identification |
Scenario 1: Acquiring a Suspect Laptop Hard Drive
Connect the drive via a Tableau T35u hardware write-blocker, identify as /dev/sdb, use dcfldd with SHA-256 hashing, split into 4GB segments for DVD archival, verify hashes match, document in case notes.
Scenario 2: Imaging a USB Flash Drive from a Compromised Workstation
Use software write-blocking with blockdev --setro, acquire with dcfldd including MD5 and SHA-256 dual hashing, image is small enough for single file, verify and store on encrypted case drive.
Scenario 3: Remote Acquisition Over Network
Use dd piped through netcat or ssh for remote acquisition: ssh root@remote "dd if=/dev/sda bs=4096" | dd of=remote_image.dd bs=4096, hash both ends independently to verify transfer integrity.
Scenario 4: Acquiring from a Failing Drive
Use ddrescue first to recover readable sectors, then use dd with conv=noerror,sync to fill gaps with zeros, document which sectors were unreadable in the error log.
Acquisition Summary:
Source: /dev/sdb (500GB Western Digital WD5000AAKX)
Destination: /cases/case-2024-001/images/evidence.dd
Tool: dcfldd 1.9.1
Block Size: 4096 bytes
Duration: 2h 15m 32s
Bytes Copied: 500,107,862,016
Errors: 0 bad sectors
Source SHA-256: a3f2b8c9d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1
Image SHA-256: a3f2b8c9d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1
Verification: PASSED - Hashes match© 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/acquiring-disk-image-with-dd-and-dcfldd of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Acquiring Disk Image With Dd And Dcfldd 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 |
|---|---|---|---|---|---|---|
| Acquiring Disk Image With Dd And Dcfldd this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Enterprise Agent Opsaffaan-m/ECC | 277k | 4 repos | ~384 | Automated safety check: Pass | MIT | |
| Sentinelvinayaklatthe/microsoft-security-skills | 175 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Forensics OsqueryAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.9k | Automated safety check: Notes | Custom licence | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Incident Responsealirezarezvani/claude-skills | 28k | — | ~3.8k | Automated safety check: Pass | MIT |
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A skill your agent uses when a security incident has been detected or declared and needs classification, triage, escalation path determination, and forensic evidence collection.
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Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
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Works with
Categories
Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Acquiring Disk Image With Dd And Dcfldd is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition.
Acquiring Disk Image With Dd And Dcfldd fits situations like: imaging a suspect drive; memory card for investigation; preserving volatile disk evidence during incident response; producing a verified copy for legal.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill acquiring-disk-image-with-dd-and-dcfldd -a claude-code`. Or copy the skill folder (skills/acquiring-disk-image-with-dd-and-dcfldd in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/acquiring-disk-image-with-dd-and-dcfldd in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill acquiring-disk-image-with-dd-and-dcfldd -a codex`. Or copy the skill folder (skills/acquiring-disk-image-with-dd-and-dcfldd in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/acquiring-disk-image-with-dd-and-dcfldd 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 acquiring-disk-image-with-dd-and-dcfldd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/acquiring-disk-image-with-dd-and-dcfldd, .gemini/skills/acquiring-disk-image-with-dd-and-dcfldd, .github/skills/acquiring-disk-image-with-dd-and-dcfldd and .opencode/skills/acquiring-disk-image-with-dd-and-dcfldd in your project.
Going by SKILL.md and its folder, Acquiring Disk Image With Dd And Dcfldd needs Python for the scripts in its folder and the command-line tools its instructions call (apt-get and ssh). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. 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.
Acquiring Disk Image With Dd And Dcfldd 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 2.2k tokens (SKILL.md is roughly 8.8k 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 646 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Acquiring Disk Image With Dd And Dcfldd: Enterprise Agent Ops (affaan-m/ECC, 277k stars), Sentinel (vinayaklatthe/microsoft-security-skills, 175 stars), Forensics Osquery (AgentSecOps/SecOpsAgentKit, 220 stars) and Alibabacloud Ecs Sec Userspace (aliyun/alibabacloud-ecs-troubleshoot-skills, 148 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.