Deepsec Documentation Guide
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
Agent skill
Recovers deleted files from disk images and storage media using PhotoRec's file signature-based carving engine, which works regardless of file system damage or corruption.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill recovering-deleted-files-with-photorec -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills recovering-deleted-files-with-photorec --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/recovering-deleted-files-with-photorec .claude/skills/recovering-deleted-files-with-photorec && 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 "recovering-deleted-files-with-photorec" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/recovering-deleted-files-with-photorec into .claude/skills/recovering-deleted-files-with-photorec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recovering-deleted-files-with-photorec", 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/recovering-deleted-files-with-photorecType 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 recovering-deleted-files-with-photorec -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills recovering-deleted-files-with-photorec --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/recovering-deleted-files-with-photorec .agents/skills/recovering-deleted-files-with-photorec && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "recovering-deleted-files-with-photorec" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/recovering-deleted-files-with-photorec into .agents/skills/recovering-deleted-files-with-photorec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recovering-deleted-files-with-photorec", 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 recovering-deleted-files-with-photorec -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills recovering-deleted-files-with-photorec --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/recovering-deleted-files-with-photorec .cursor/skills/recovering-deleted-files-with-photorec && 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 "recovering-deleted-files-with-photorec" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/recovering-deleted-files-with-photorec into .cursor/skills/recovering-deleted-files-with-photorec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recovering-deleted-files-with-photorec", 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/recovering-deleted-files-with-photorec--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 recovering-deleted-files-with-photorec -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills recovering-deleted-files-with-photorec --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/recovering-deleted-files-with-photorec .gemini/skills/recovering-deleted-files-with-photorec && 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 "recovering-deleted-files-with-photorec" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/recovering-deleted-files-with-photorec into .gemini/skills/recovering-deleted-files-with-photorec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recovering-deleted-files-with-photorec", 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 recovering-deleted-files-with-photorecInstalls 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 recovering-deleted-files-with-photorec -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/recovering-deleted-files-with-photorec .github/skills/recovering-deleted-files-with-photorec && 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 "recovering-deleted-files-with-photorec" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/recovering-deleted-files-with-photorec into .github/skills/recovering-deleted-files-with-photorec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recovering-deleted-files-with-photorec", 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 recovering-deleted-files-with-photorec -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 recovering-deleted-files-with-photorec --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/recovering-deleted-files-with-photorec .opencode/skills/recovering-deleted-files-with-photorec && 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 "recovering-deleted-files-with-photorec" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/recovering-deleted-files-with-photorec into .opencode/skills/recovering-deleted-files-with-photorec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recovering-deleted-files-with-photorec", 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.
recovering-deleted-files-with-photorecRecovers deleted files from disk images and storage media using PhotoRec's file signature-based carving engine, which works regardless of file system damage or corruption.
Recovering Deleted Files With Photorec is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Recovers deleted files from disk images and storage media using PhotoRec's file signature-based carving engine, which works regardless of file system damage or corruption. Use when recovering deleted or lost files from a forensic disk image, damaged storage device, or corrupted file system during evidence recovery.
Its SKILL.md is about 2.3k 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. 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.
5 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-getyumbrewFrom 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.
Recovering Deleted Files With Photorec loads about 2.3k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 499 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 noted patterns worth knowing about, such as sudo or a known installer.
sudo apt-get install testdisksudo yum install testdisksudo photorec /dev/sdbAutomated 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). 499 words, ~2,325 tokens.
.claude/skills/recovering-deleted-files-with-photorec/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.# Install TestDisk (includes PhotoRec) on Debian/Ubuntu
sudo apt-get install testdisk
# On RHEL/CentOS
sudo yum install testdisk
# On macOS
brew install testdisk
# Verify installation
photorec --version
# Create output directory structure
mkdir -p /cases/case-2024-001/recovered/{all,documents,images,databases}
# Verify the forensic image
file /cases/case-2024-001/images/evidence.dd
ls -lh /cases/case-2024-001/images/evidence.dd# Launch PhotoRec against a forensic image
photorec /cases/case-2024-001/images/evidence.dd
# Interactive menu steps:
# 1. Select the disk image: evidence.dd
# 2. Select partition table type: [Intel] for MBR, [EFI GPT] for GPT
# 3. Select partition to scan (or "No partition" for whole disk)
# 4. Select filesystem type: [ext2/ext3/ext4] or [Other] for NTFS/FAT
# 5. Choose scan scope: [Free] (unallocated only) or [Whole] (entire partition)
# 6. Select output directory: /cases/case-2024-001/recovered/all/
# 7. Press C to confirm and begin recovery
# For direct device scanning (with write-blocker)
sudo photorec /dev/sdb# Non-interactive mode with specific file types
photorec /d /cases/case-2024-001/recovered/documents/ \
/cmd /cases/case-2024-001/images/evidence.dd \
partition_table,options,mode,fileopt,search
# Recover only specific file types using photorec command mode
photorec /d /cases/case-2024-001/recovered/documents/ \
/cmd /cases/case-2024-001/images/evidence.dd \
options,keep_corrupted_file,enable \
fileopt,everything,disable \
fileopt,doc,enable \
fileopt,docx,enable \
fileopt,pdf,enable \
fileopt,xlsx,enable \
search
# Recover only image files
photorec /d /cases/case-2024-001/recovered/images/ \
/cmd /cases/case-2024-001/images/evidence.dd \
fileopt,everything,disable \
fileopt,jpg,enable \
fileopt,png,enable \
fileopt,gif,enable \
fileopt,bmp,enable \
fileopt,tif,enable \
search
# Recover database files
photorec /d /cases/case-2024-001/recovered/databases/ \
/cmd /cases/case-2024-001/images/evidence.dd \
fileopt,everything,disable \
fileopt,sqlite,enable \
fileopt,dbf,enable \
search# PhotoRec outputs files into recup_dir.1, recup_dir.2, etc.
ls /cases/case-2024-001/recovered/all/
# Count recovered files by type
find /cases/case-2024-001/recovered/all/ -type f | \
sed 's/.*\.//' | sort | uniq -c | sort -rn > /cases/case-2024-001/recovered/file_type_summary.txt
# Sort recovered files into directories by extension
cd /cases/case-2024-001/recovered/all/
for ext in jpg png pdf docx xlsx pptx zip sqlite; do
mkdir -p /cases/case-2024-001/recovered/sorted/$ext
find . -name "*.$ext" -exec cp {} /cases/case-2024-001/recovered/sorted/$ext/ \;
done
# Generate SHA-256 hashes for all recovered files
find /cases/case-2024-001/recovered/all/ -type f -exec sha256sum {} \; \
> /cases/case-2024-001/recovered/recovered_hashes.txt
# Generate file listing with metadata
find /cases/case-2024-001/recovered/all/ -type f \
-printf "%f\t%s\t%T+\t%p\n" | sort > /cases/case-2024-001/recovered/file_listing.txt# Verify file integrity using file signatures
find /cases/case-2024-001/recovered/all/ -type f -exec file {} \; \
> /cases/case-2024-001/recovered/file_signatures.txt
# Find files with mismatched extension/signature
while IFS= read -r line; do
filepath=$(echo "$line" | cut -d: -f1)
filetype=$(echo "$line" | cut -d: -f2-)
ext="${filepath##*.}"
if [[ "$ext" == "jpg" ]] && ! echo "$filetype" | grep -qi "JPEG"; then
echo "MISMATCH: $filepath -> $filetype"
fi
done < /cases/case-2024-001/recovered/file_signatures.txt > /cases/case-2024-001/recovered/mismatches.txt
# Filter out known-good files using NSRL hash comparison
hashdeep -r -c sha256 /cases/case-2024-001/recovered/all/ | \
grep -vFf /opt/nsrl/nsrl_sha256.txt > /cases/case-2024-001/recovered/unknown_files.txt
# Remove zero-byte and corrupted files
find /cases/case-2024-001/recovered/all/ -type f -empty -delete
find /cases/case-2024-001/recovered/all/ -name "*.jpg" -exec jpeginfo -c {} \; 2>&1 | \
grep "ERROR" > /cases/case-2024-001/recovered/corrupted_images.txt| Concept | Description |
|---|---|
| File carving | Recovering files from raw data using file header/footer signatures |
| File signatures | Magic bytes at the start of files identifying their type (e.g., FF D8 FF for JPEG) |
| Unallocated space | Disk sectors not assigned to any active file; may contain deleted data |
| Fragmented files | Files stored in non-contiguous sectors; harder to carve completely |
| Cluster/Block size | Minimum allocation unit on a file system; affects carving granularity |
| File footer | Byte sequence marking the end of a file (not all formats have footers) |
| Data remanence | Residual data remaining after deletion until sectors are overwritten |
| False positives | Carved artifacts that match signatures but contain corrupted or partial data |
| Tool | Purpose |
|---|---|
| PhotoRec | Open-source file carving tool supporting 300+ file formats |
| TestDisk | Companion tool for partition recovery and repair |
| Foremost | Alternative file carver originally developed by US Air Force OSI |
| Scalpel | High-performance file carver based on Foremost |
| hashdeep | Recursive hash computation and audit tool |
| jpeginfo | JPEG file integrity verification |
| file | Unix utility identifying file types by magic bytes |
| exiftool | Extract metadata from recovered image and document files |
Scenario 1: Recovering Deleted Evidence from a Suspect's USB Drive Image the USB drive with dcfldd, run PhotoRec targeting document and image formats, organize by file type, hash all recovered files, compare against known-bad hash sets, extract metadata from images for GPS and timestamp information.
Scenario 2: Formatted Hard Drive Recovery Run PhotoRec in "Whole" mode against the entire formatted partition, recover all file types, expect higher false positive rate due to file fragmentation, validate recovered files with signature checking, catalog and hash for evidence chain.
Scenario 3: Memory Card from a Surveillance Camera Recover deleted video files (AVI, MP4, MOV) from the memory card image, use targeted file type selection to speed recovery, verify video files are playable, extract frame timestamps, document recovery in case notes.
Scenario 4: Corrupted File System on Evidence Drive When file system metadata is destroyed, PhotoRec bypasses the file system entirely and carves from raw sectors, recover maximum possible data, accept that file names and directory structure will be lost, rename files based on content during review.
PhotoRec Recovery Summary:
Source Image: evidence.dd (500 GB)
Partition: NTFS (Partition 2)
Scan Mode: Free space only
Files Recovered: 4,523
Documents: 234 (doc: 45, docx: 89, pdf: 67, xlsx: 33)
Images: 2,145 (jpg: 1,890, png: 198, gif: 57)
Videos: 34 (mp4: 22, avi: 12)
Archives: 67 (zip: 45, rar: 22)
Databases: 12 (sqlite: 8, dbf: 4)
Other: 2,031
Data Recovered: 12.4 GB
Corrupted Files: 312 (flagged for review)
Output Directory: /cases/case-2024-001/recovered/all/
Hash Manifest: /cases/case-2024-001/recovered/recovered_hashes.txt© 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/recovering-deleted-files-with-photorec of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Recovering Deleted Files With Photorec 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 |
|---|---|---|---|---|---|---|
| Recovering Deleted Files With Photorec this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | |
| Deepsec Documentation Guidevercel-labs/deepsec | 8.1k | — | ~956 | Automated safety check: Pass | Apache-2.0 | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 481 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Security Alert Triageelastic/agent-skills | 592 | 1 repos | ~3.5k | Automated safety check: Notes | Apache-2.0 | |
| Shiro Attack CLISummerSec/ShiroAttack2 | 2.6k | — | ~945 | Automated safety check: Pass | MIT |
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
yan-labs/serenity-aleabitoreddit
Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.
elastic/agent-skills
Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge.
SummerSec/ShiroAttack2
当用户要求利用、检测或测试 Apache Shiro rememberMe 反序列化漏洞 (Shiro-550, CVE-2016-4437) 时使用。触发词包括 "Shiro"、"rememberMe"、"shiro attack"、"CVE-2016-4437"、"Shiro-550"、"爆破 Shiro key"、"利用 Shiro"、"Shiro…
rundeck/rundeck
Verify if a CVE affects the project and remediate it. An agent skill from rundeck/rundeck.
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
Recovers deleted files from disk images and storage media using PhotoRec's file signature-based carving engine, which works regardless of file system damage or corruption. Recovering Deleted Files With Photorec is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Recovers deleted files from disk images and storage media using PhotoRec's file signature-based carving engine, which works regardless of file system damage or corruption.
Recovering Deleted Files With Photorec fits situations like: recovering deleted; lost files from a forensic disk image; damaged storage device; corrupted file system during evidence recovery.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill recovering-deleted-files-with-photorec -a claude-code`. Or copy the skill folder (skills/recovering-deleted-files-with-photorec in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/recovering-deleted-files-with-photorec in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill recovering-deleted-files-with-photorec -a codex`. Or copy the skill folder (skills/recovering-deleted-files-with-photorec in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/recovering-deleted-files-with-photorec 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 recovering-deleted-files-with-photorec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recovering-deleted-files-with-photorec, .gemini/skills/recovering-deleted-files-with-photorec, .github/skills/recovering-deleted-files-with-photorec and .opencode/skills/recovering-deleted-files-with-photorec in your project.
Going by SKILL.md and its folder, Recovering Deleted Files With Photorec needs Python for the scripts in its folder and the command-line tools its instructions call (apt-get, yum and brew). 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 notes only (runs commands with sudo), nothing it rates as a warning. 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.
Recovering Deleted Files With Photorec 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 2.3k tokens (SKILL.md is roughly 9.3k 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 517 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Recovering Deleted Files With Photorec: Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars) and Security Alert Triage (elastic/agent-skills, 592 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.