KubeShark for Kubernetes
LukasNiessen/kubernetes-skill
Keeps Kubernetes manifests, Helm charts and policies grounded by diagnosing six failure modes, such as insecure defaults and API drift, and loading only matching references.
Agent skill
Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-honeypot-for-ransomware-detection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-honeypot-for-ransomware-detection --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/implementing-honeypot-for-ransomware-detection .claude/skills/implementing-honeypot-for-ransomware-detection && 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 "implementing-honeypot-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-honeypot-for-ransomware-detection into .claude/skills/implementing-honeypot-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-honeypot-for-ransomware-detection", 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/implementing-honeypot-for-ransomware-detectionType 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 implementing-honeypot-for-ransomware-detection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-honeypot-for-ransomware-detection --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/implementing-honeypot-for-ransomware-detection .agents/skills/implementing-honeypot-for-ransomware-detection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implementing-honeypot-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-honeypot-for-ransomware-detection into .agents/skills/implementing-honeypot-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-honeypot-for-ransomware-detection", 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 implementing-honeypot-for-ransomware-detection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-honeypot-for-ransomware-detection --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/implementing-honeypot-for-ransomware-detection .cursor/skills/implementing-honeypot-for-ransomware-detection && 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 "implementing-honeypot-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-honeypot-for-ransomware-detection into .cursor/skills/implementing-honeypot-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-honeypot-for-ransomware-detection", 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/implementing-honeypot-for-ransomware-detection--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 implementing-honeypot-for-ransomware-detection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-honeypot-for-ransomware-detection --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/implementing-honeypot-for-ransomware-detection .gemini/skills/implementing-honeypot-for-ransomware-detection && 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 "implementing-honeypot-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-honeypot-for-ransomware-detection into .gemini/skills/implementing-honeypot-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-honeypot-for-ransomware-detection", 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 implementing-honeypot-for-ransomware-detectionInstalls 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 implementing-honeypot-for-ransomware-detection -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/implementing-honeypot-for-ransomware-detection .github/skills/implementing-honeypot-for-ransomware-detection && 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 "implementing-honeypot-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-honeypot-for-ransomware-detection into .github/skills/implementing-honeypot-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-honeypot-for-ransomware-detection", 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 implementing-honeypot-for-ransomware-detection -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 implementing-honeypot-for-ransomware-detection --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/implementing-honeypot-for-ransomware-detection .opencode/skills/implementing-honeypot-for-ransomware-detection && 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 "implementing-honeypot-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-honeypot-for-ransomware-detection into .opencode/skills/implementing-honeypot-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-honeypot-for-ransomware-detection", 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.
implementing-honeypot-for-ransomware-detectionDeploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage.
Implementing Honeypot For Ransomware Detection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage. Configures canary tokens embedded in strategic file locations that trigger alerts when ransomware attempts encryption, uses honeypot network shares that mimic high-value targets, and deploys Thinkst Canary appliances for comprehensive deception-based detection. Activates for requests involving ransomware honeypots, canary files, deception technology for ransomware, or early ransomware alerting.
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).
It sits in DevOps & Cloud, covering Deployment. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
console.canary.toolsFrom 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.
Implementing Honeypot For Ransomware Detection loads about 3.9k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 141 tokens; SKILL.md has 638 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). 638 words, ~3,909 tokens.
.claude/skills/implementing-honeypot-for-ransomware-detection/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Do not use as the sole ransomware detection mechanism. Honeypots are a high-confidence supplementary layer, not a replacement for EDR, network monitoring, and backup protection.
Place canary files in strategic locations that ransomware will encounter during encryption:
# Deploy canary files across all file shares
# Files are named to appear early in alphabetical and directory order
# Ransomware typically encrypts alphabetically or by directory traversal
$shares = @("\\fileserver01\finance", "\\fileserver01\hr", "\\fileserver01\engineering")
$canaryNames = @(
"!_IMPORTANT_DO_NOT_DELETE.docx",
"000_Budget_2026_FINAL.xlsx",
"_Confidential_Employee_Records.pdf",
"AAAA_Quarterly_Report.docx"
)
foreach ($share in $shares) {
foreach ($name in $canaryNames) {
$targetPath = Join-Path $share $name
# Create a legitimate-looking file with canary content
# The file contains a unique token that triggers on access
$content = "This document contains confidential financial data.`n"
$content += "Q4 2025 Revenue: $42.3M | Q1 2026 Forecast: $45.1M`n"
$content += "Prepared by: Finance Department`n"
Set-Content -Path $targetPath -Value $content
# Set file as hidden system to avoid user interaction
$file = Get-Item $targetPath
$file.Attributes = [System.IO.FileAttributes]::Hidden
}
}
# Also deploy in subdirectories (ransomware traverses recursively)
$subDirs = Get-ChildItem -Path "\\fileserver01\finance" -Directory -Recurse | Select-Object -First 20
foreach ($dir in $subDirs) {
$canaryPath = Join-Path $dir.FullName "!_Budget_Summary.xlsx"
Set-Content -Path $canaryPath -Value "Canary file for ransomware detection"
(Get-Item $canaryPath).Attributes = [System.IO.FileAttributes]::Hidden
}Windows FSRM approach:
# Configure FSRM to monitor for ransomware file extensions
# and canary file modifications
Install-WindowsFeature -Name FS-Resource-Manager -IncludeManagementTools
# Create file screen for known ransomware extensions
$ransomExtensions = @(
"*.encrypted", "*.locked", "*.crypto", "*.crypt",
"*.locky", "*.cerber", "*.zepto", "*.thor",
"*.aesir", "*.zzzzz", "*.wallet", "*.onion",
"*.wncry", "*.wcry", "*.lockbit", "*.BlackCat",
"*.ALPHV", "*.rhysida", "*.play"
)
# Create file group for ransomware extensions
New-FsrmFileGroup -Name "Ransomware_Extensions" -IncludePattern $ransomExtensions
# Create file screen template
New-FsrmFileScreenTemplate -Name "Ransomware_Screen" `
-IncludeGroup "Ransomware_Extensions" `
-Active:$false # Passive mode: alert without blocking
# Apply to all monitored shares
$monitoredPaths = @("D:\Shares\Finance", "D:\Shares\HR", "D:\Shares\Engineering")
foreach ($path in $monitoredPaths) {
New-FsrmFileScreen -Path $path -Template "Ransomware_Screen"
}Canary file modification monitoring with PowerShell FileSystemWatcher:
# Real-time canary file monitoring service
$canaryPaths = @(
"D:\Shares\Finance\!_IMPORTANT_DO_NOT_DELETE.docx",
"D:\Shares\HR\000_Budget_2026_FINAL.xlsx",
"D:\Shares\Engineering\_Confidential_Employee_Records.pdf"
)
$watcher = New-Object System.IO.FileSystemWatcher
$watcher.Path = "D:\Shares"
$watcher.Filter = "*"
$watcher.IncludeSubdirectories = $true
$watcher.EnableRaisingEvents = $true
$action = {
$path = $Event.SourceEventArgs.FullPath
$changeType = $Event.SourceEventArgs.ChangeType
$timestamp = $Event.TimeGenerated
# Check if modified file is a canary
$isCanary = $false
foreach ($canary in $canaryPaths) {
if ($path -eq $canary) { $isCanary = $true; break }
}
if ($isCanary -or $changeType -eq "Renamed") {
$alertMsg = "RANSOMWARE ALERT: Canary file modified! Path: $path | Change: $changeType | Time: $timestamp"
# Log to Windows Event Log
Write-EventLog -LogName Application -Source "RansomwareCanary" `
-EventID 9999 -EntryType Error -Message $alertMsg
# Send SIEM alert via syslog
# Trigger automated containment
}
}
Register-ObjectEvent $watcher "Changed" -Action $action
Register-ObjectEvent $watcher "Deleted" -Action $action
Register-ObjectEvent $watcher "Renamed" -Action $actionCreate decoy file shares that appear to contain high-value data:
# Create honeypot share on dedicated server
# This server monitors ALL file access and alerts on any activity
New-Item -Path "D:\HoneypotShares\Executive_Compensation" -ItemType Directory
New-Item -Path "D:\HoneypotShares\M&A_Documents" -ItemType Directory
New-Item -Path "D:\HoneypotShares\Board_Meeting_Notes" -ItemType Directory
New-Item -Path "D:\HoneypotShares\Customer_Database_Exports" -ItemType Directory
# Share with broad read access (enticing to attackers)
New-SmbShare -Name "Executive_Compensation" `
-Path "D:\HoneypotShares\Executive_Compensation" `
-FullAccess "DOMAIN\Domain Users" `
-Description "Executive Compensation Files - Restricted"
# Populate with realistic-looking but fake documents
# Use document templates that look legitimate
$docContent = @"
CONFIDENTIAL - Executive Compensation Summary
FY 2026 Base Salary and Bonus Structures
CEO: [REDACTED] | CFO: [REDACTED] | CTO: [REDACTED]
Total Compensation Package: See Appendix A
"@
Set-Content -Path "D:\HoneypotShares\Executive_Compensation\FY2026_Comp_Summary.txt" -Value $docContent
# Enable detailed audit logging on honeypot share
$acl = Get-Acl "D:\HoneypotShares"
$auditRule = New-Object System.Security.AccessControl.FileSystemAuditRule(
"Everyone", "ReadAndExecute,Write,Delete", "ContainerInherit,ObjectInherit",
"None", "Success,Failure"
)
$acl.AddAuditRule($auditRule)
Set-Acl "D:\HoneypotShares" $acl
# Enable object access auditing via GPO
auditpol /set /subcategory:"File System" /success:enable /failure:enableFor organizations using Thinkst Canary or the free canarytokens.org service:
# Generate canary tokens via API (Thinkst Canary)
# These trigger alerts when documents are opened or URLs are accessed
# Word document token
curl -X POST "https://CONSOLE.canary.tools/api/v1/canarytoken/create" \
-d "auth_token=YOUR_API_TOKEN" \
-d "memo=Finance_Share_Canary" \
-d "kind=doc-msword" \
-o /tmp/canary_budget_report.docx
# PDF document token
curl -X POST "https://CONSOLE.canary.tools/api/v1/canarytoken/create" \
-d "auth_token=YOUR_API_TOKEN" \
-d "memo=HR_Share_Canary" \
-d "kind=pdf-acrobat-reader" \
-o /tmp/canary_employee_handbook.pdf
# Windows folder token (alerts when folder is browsed)
curl -X POST "https://CONSOLE.canary.tools/api/v1/canarytoken/create" \
-d "auth_token=YOUR_API_TOKEN" \
-d "memo=Executive_Folder_Browse" \
-d "kind=windows-dir"
# Deploy Canary appliance (emulates a file server)
# Configure via web console to appear as:
# - Windows file server with SMB shares
# - Contains realistic-looking directories
# - Any access triggers immediate alert with source IP and activity details# siem_integration.py - Forward honeypot alerts to SIEM and trigger containment
import json
import requests
import logging
from datetime import datetime
SIEM_WEBHOOK = "https://siem.company.com/api/alerts"
NAC_API = "https://nac.company.com/api/v1/quarantine"
EDR_API = "https://edr.company.com/api/v1/isolate"
def send_ransomware_alert(source_ip: str, canary_path: str, action: str):
"""Send high-priority alert to SIEM and trigger automated containment."""
alert = {
"timestamp": datetime.utcnow().isoformat(),
"severity": "CRITICAL",
"category": "Ransomware - Canary File Triggered",
"source_ip": source_ip,
"canary_file": canary_path,
"action_detected": action,
"automated_response": "Host isolation initiated",
"mitre_technique": "T1486 - Data Encrypted for Impact",
}
# Send to SIEM
try:
requests.post(SIEM_WEBHOOK, json=alert, timeout=5)
except requests.RequestException as e:
logging.error(f"SIEM alert failed: {e}")
# Automated containment - isolate host via NAC
try:
requests.post(f"{NAC_API}/{source_ip}",
json={"action": "quarantine", "reason": "Ransomware canary triggered"},
timeout=5)
except requests.RequestException as e:
logging.error(f"NAC quarantine failed: {e}")
# Automated containment - isolate host via EDR
try:
requests.post(EDR_API,
json={"ip": source_ip, "action": "isolate"},
timeout=5)
except requests.RequestException as e:
logging.error(f"EDR isolation failed: {e}")
logging.critical(f"RANSOMWARE CANARY ALERT: {source_ip} modified {canary_path} ({action})")| Term | Definition |
|---|---|
| Canary File | A decoy file placed in strategic locations that triggers an alert when modified, renamed, or deleted by ransomware |
| Honeypot Share | A decoy network share designed to attract attackers, where any access is suspicious and triggers alerts |
| Canary Token | A trackable token embedded in a document or URL that reports back when accessed, revealing the accessor's IP and time |
| FSRM | File Server Resource Manager - Windows Server role that monitors file operations and can screen for ransomware extensions |
| Deception Layer | Security architecture layer using decoy assets to detect threats with near-zero false positive rates |
| File System Watcher | System service that monitors real-time file system changes (creation, modification, deletion, rename) |
Context: A retail company deploys canary files across 200 file shares and 3 honeypot shares. At 3:00 AM on a Saturday, the canary monitoring system generates 47 alerts in rapid succession as canary files across 12 shares are modified within 90 seconds.
Approach:
Pitfalls:
## Ransomware Honeypot Deployment Report
**Organization**: [Name]
**Deployment Date**: [Date]
### Canary File Deployment
| Share | Files Deployed | Naming Convention | Alert Method |
|-------|---------------|-------------------|--------------|
| [Share path] | [Count] | [Pattern] | [FSRM/Watcher/Token] |
### Honeypot Shares
| Share Name | Location | Apparent Content | Monitoring |
|-----------|----------|-----------------|------------|
| [Name] | [Server] | [Description] | [Audit/Canary] |
### Alert Integration
- SIEM: [Connected/Not Connected]
- Automated Containment: [EDR Isolation/NAC Quarantine/None]
- Alert SLA: [Expected response time]
### Testing Results
| Test Date | Test Type | Canary Triggered | Alert Received | Containment Executed | Time to Alert |
|-----------|----------|-----------------|----------------|---------------------|---------------|© 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 7 other files (scripts, references, assets) in skills/implementing-honeypot-for-ransomware-detection of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Implementing Honeypot For Ransomware Detection 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 |
|---|---|---|---|---|---|---|
| Implementing Honeypot For Ransomware Detection this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| KubeShark for KubernetesLukasNiessen/kubernetes-skill | 446 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Dependency Auditoralirezarezvani/claude-code-tresor | 777 | — | ~1.2k | Automated safety check: Notes | MIT | |
| CI/CD Pipeline Principlesirahardianto/awesome-agv | 156 | — | ~2.7k | Automated safety check: Notes | MIT | |
| Robotics Securityarpitg1304/robotics-agent-skills | 369 | — | ~7.8k | Automated safety check: Warn | Apache-2.0 | |
| Canary Tripwire Responsedeonmenezes/mantishack | 503 | — | ~376 | Automated safety check: Pass | Apache-2.0 |
LukasNiessen/kubernetes-skill
Keeps Kubernetes manifests, Helm charts and policies grounded by diagnosing six failure modes, such as insecure defaults and API drift, and loading only matching references.
alirezarezvani/claude-code-tresor
Check dependencies for known vulnerabilities using npm audit, pip-audit, etc.
irahardianto/awesome-agv
Rules for designing CI/CD pipelines in layers: universal lint, test and scan stages, container builds with SBOM attestation, and GitOps for orchestrated deployments.
arpitg1304/robotics-agent-skills
Security hardening and best practices for robotic systems, covering SROS2 DDS security, network segmentation, secrets management, secure boot, and the physical-cyber safety intersection.
deonmenezes/mantishack
What to do if a mantiscanary decoy tool ever shows up as tempting or gets called -- treat it as a security incident, not a normal tool result
cloudposse/atmos
Atmos CI: Native CI with GitHub Actions containers, native outputs, SBOM workflow-artifact publication, collapsible log groups, affected/all matrix workflows, OIDC profiles, toolchain-aware jobs…
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
Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage. Implementing Honeypot For Ransomware Detection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage.
Implementing Honeypot For Ransomware Detection fits situations like: alerts when ransomware attempts encryption; uses honeypot network shares that mimic high-value targets; deploys Thinkst Canary appliances for comprehensive deception-based detection.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-honeypot-for-ransomware-detection -a claude-code`. Or copy the skill folder (skills/implementing-honeypot-for-ransomware-detection in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-honeypot-for-ransomware-detection in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-honeypot-for-ransomware-detection -a codex`. Or copy the skill folder (skills/implementing-honeypot-for-ransomware-detection in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-honeypot-for-ransomware-detection 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 implementing-honeypot-for-ransomware-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-honeypot-for-ransomware-detection, .gemini/skills/implementing-honeypot-for-ransomware-detection, .github/skills/implementing-honeypot-for-ransomware-detection and .opencode/skills/implementing-honeypot-for-ransomware-detection in your project.
Going by SKILL.md and its folder, Implementing Honeypot For Ransomware Detection needs Python for the scripts in its folder and the command-line tools its instructions call (curl). Our summary lists: Python 3; A credential in YOUR_API_TOKEN.
SKILL.md names 1 domain. In commands or code: console.canary.tools; the agent is likely to contact it when it follows the instructions. 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.
Implementing Honeypot For Ransomware Detection 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 3.9k tokens (SKILL.md is roughly 16k 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 1.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Implementing Honeypot For Ransomware Detection: KubeShark for Kubernetes (LukasNiessen/kubernetes-skill, 446 stars), Dependency Auditor (alirezarezvani/claude-code-tresor, 777 stars), CI/CD Pipeline Principles (irahardianto/awesome-agv, 156 stars) and Robotics Security (arpitg1304/robotics-agent-skills, 369 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.