Agent skill

Implementing Honeypot For Ransomware Detection

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage.

Apache-2.0Auto-check passedDevOps & Cloud

Install Implementing Honeypot For Ransomware Detection

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-honeypot-for-ransomware-detection -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-honeypot-for-ransomware-detection --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
implementing-honeypot-for-ransomware-detection
GitHub stars
34k
Token cost
~3.9k tokens
SKILL.md length
638 words
Files
8 (incl. scripts, references, assets)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage.

  • Works in 5 steps: Deploy Canary Files on File Shares → Configure File Integrity Monitoring on… → Deploy Honeypot Network Shares → …
  • Alerts when ransomware attempts encryption
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder; calls curl; reaches console.canary.tools

What it does

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.

When your agent uses it

  • Alerts when ransomware attempts encryption
  • Uses honeypot network shares that mimic high-value targets
  • Deploys Thinkst Canary appliances for comprehensive deception-based detection

Example prompts

  • “Use the implementing-honeypot-for-ransomware-detection skill to deploy canary files, honeypot shares, and decoy systems to detect ransomware…”
  • “/implementing-honeypot-for-ransomware-detection”

Requirements

  • Python 3
  • A credential in YOUR_API_TOKEN

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Deploy Canary Files on File Shares
  2. Configure File Integrity Monitoring on Canary Files
  3. Deploy Honeypot Network Shares
  4. Deploy Thinkst Canary Tokens
  5. Integrate Alerts with SIEM and Automated Response

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • console.canary.tools

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~141
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 638 words, ~3,909 tokens.

Download SKILL.mdSave it as .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.
name
implementing-honeypot-for-ransomware-detection
description
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.
domain
cybersecurity
subdomain
ransomware-defense
tags
ransomware, detection, honeypot, canary, defense, deception
version
1.0.0
author
mahipal
license
Apache-2.0
d3fend_techniques
File Metadata Consistency Validation, Content Format Conversion, File Content Analysis, Platform Hardening, File Format Verification
nist_csf
PR.DS-11, RS.MA-01, RC.RP-01, PR.IR-01
mitre_attack
T1078, T1190, T1059, T1486, T1490
mitre_f3.version
1.1

Implementing Honeypot for Ransomware Detection

When to Use

  • Deploying early-warning detection for ransomware encryption attempts using canary files
  • Creating honeypot file shares that detect lateral movement and data staging before encryption
  • Supplementing EDR and SIEM-based detection with deception-layer alerts that have near-zero false positives
  • Detecting ransomware variants that evade signature-based detection by triggering on file modification behavior
  • Validating that ransomware detection capabilities work by testing with controlled encryption tools

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.

Prerequisites

  • File server or NAS infrastructure where canary files can be deployed
  • Windows File Server Resource Manager (FSRM) or equivalent file activity monitoring
  • Thinkst Canary or similar deception platform (optional, for advanced deployment)
  • SIEM platform for centralizing honeypot alerts
  • Administrative access to deploy canary files across file shares
  • Network segment for honeypot systems (if deploying full honeypot servers)

Workflow

Step 1: Deploy Canary Files on File Shares

Place canary files in strategic locations that ransomware will encounter during encryption:

powershell
# 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
}
Step 2: Configure File Integrity Monitoring on Canary Files

Windows FSRM approach:

powershell
# 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:

powershell
# 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 $action
Step 3: Deploy Honeypot Network Shares

Create decoy file shares that appear to contain high-value data:

powershell
# 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:enable
Step 4: Deploy Thinkst Canary Tokens

For organizations using Thinkst Canary or the free canarytokens.org service:

bash
# 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
Step 5: Integrate Alerts with SIEM and Automated Response
python
# 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})")

Key Concepts

TermDefinition
Canary FileA decoy file placed in strategic locations that triggers an alert when modified, renamed, or deleted by ransomware
Honeypot ShareA decoy network share designed to attract attackers, where any access is suspicious and triggers alerts
Canary TokenA trackable token embedded in a document or URL that reports back when accessed, revealing the accessor's IP and time
FSRMFile Server Resource Manager - Windows Server role that monitors file operations and can screen for ransomware extensions
Deception LayerSecurity architecture layer using decoy assets to detect threats with near-zero false positive rates
File System WatcherSystem service that monitors real-time file system changes (creation, modification, deletion, rename)
Show full SKILL.md (292 more words)Show less

Tools & Systems

  • Thinkst Canary: Commercial deception platform providing canary appliances (emulate servers) and canary tokens (trackable documents)
  • Canarytokens.org: Free service from Thinkst for generating basic canary tokens (Word docs, PDFs, URLs, DNS)
  • OpenCanary: Open-source honeypot daemon that emulates common services (SMB, RDP, SSH) and logs access attempts
  • FSRM (File Server Resource Manager): Windows Server built-in tool for file screening, quota management, and ransomware extension detection
  • Elastic Endpoint: Uses canary files internally for ransomware protection, triggering behavioral alerts on canary modification

Common Scenarios

Scenario: Early Detection of BlackByte Ransomware via Canary Files

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:

  1. Canary file alert triggers automated containment: source workstation (10.2.8.55) quarantined via NAC within 30 seconds
  2. SIEM correlation shows the source workstation had EDR alerts for PsExec execution 2 hours earlier (missed by overnight SOC)
  3. Additional canary alerts from 3 other workstations indicate the ransomware is spreading via scheduled tasks
  4. IR team isolates the affected VLAN, preventing encryption of the remaining 188 file shares
  5. The 12 affected shares are restored from immutable backups within 4 hours
  6. Estimated damage prevented: $2.3M in downtime and recovery costs based on the 95% of shares protected

Pitfalls:

  • Placing canary files only in root directories where ransomware may skip them by targeting subdirectories first
  • Using obvious canary names that sophisticated ransomware may recognize and avoid
  • Not testing canary alerting end-to-end, discovering during an actual incident that alerts are not reaching the SOC
  • Generating excessive canary alerts during legitimate file migrations or antivirus scans, causing alert fatigue

Output Format

## 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

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/implementing-honeypot-for-ransomware-detection of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

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Canary Tripwire Responsedeonmenezes/mantishack503—~376Automated safety check: PassApache-2.0

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Questions about Implementing Honeypot For Ransomware Detection

What does Implementing Honeypot For Ransomware Detection do?

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.

When should I use Implementing Honeypot For Ransomware Detection?

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.

How do I install Implementing Honeypot For Ransomware Detection in Claude Code?

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.

How do I install Implementing Honeypot For Ransomware Detection in Codex?

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.

Can I use Implementing Honeypot For Ransomware Detection in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Implementing Honeypot For Ransomware Detection need to run?

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.

Does Implementing Honeypot For Ransomware Detection access the network?

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.

Is Implementing Honeypot For Ransomware Detection safe to install?

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.

What licence does Implementing Honeypot For Ransomware Detection use?

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.

How many tokens does Implementing Honeypot For Ransomware Detection use?

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.

What are the alternatives to Implementing Honeypot For Ransomware Detection?

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.

Who maintains Implementing Honeypot For Ransomware Detection?

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.