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Electronic Funds Transfer: Wire Transfer

Deploys and monitors ransomware canary files using Python's watchdog library, placing decoy files mimicking high-value targets (financial records, credentials, database exports) where ransomware enumerates first, and alerting via email, Slack, or syslog on any read/modify/rename/delete.

Install / Use

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill deploying-ransomware-canary-files

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Category

Security

Supported Platforms

Universal

Our assessment of Electronic Funds Transfer: Wire Transfer

Electronic Funds Transfer: Wire Transfer scores 91/100 on our quality scale, 102nd of 461 Security skills we index (top 23%).

Its SKILL.md is 4.7 KB long, well organised into 11 sections with 1 code example: a solid amount of guidance for an agent.

With 33,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 25 days ago, so Electronic Funds Transfer: Wire Transfer is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

Electronic Funds Transfer: Wire Transfer compared with similar skills

All 4 of these similar skills score higher than Electronic Funds Transfer: Wire Transfer; compare them before choosing.

SkillScoreStarsUpdatedFormat
Electronic Funds Transfer: Wire Transfer (this skill)by mukul9759133.3k25d agoSKILL.md
Agent-Reachby Panniantong10085.4k9d agoCLAUDE.md
headroomby headroomlabs-ai10073.8ktodayCLAUDE.md
Scraplingby D4Vinci10083.5ktodayMCP Server
algorithmic-artby anthropics100177.9k2d agoSKILL.md

Frequently asked questions

How do I install Electronic Funds Transfer: Wire Transfer?
Run npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill "Electronic Funds Transfer: Wire Transfer". The install tabs above show the steps for each supported agent.
Which AI agents does Electronic Funds Transfer: Wire Transfer work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is Electronic Funds Transfer: Wire Transfer safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is Electronic Funds Transfer: Wire Transfer still maintained?
The repository was last updated 25 days ago, so Electronic Funds Transfer: Wire Transfer is actively maintained.

name: deploying-ransomware-canary-files description: Deploys and monitors ransomware canary files using Python's watchdog library, placing decoy files mimicking high-value targets (financial records, credentials, database exports) where ransomware enumerates first, and alerting via email, Slack, or syslog on any read/modify/rename/delete. Use for early-warning ransomware detection on file servers, NAS, or endpoints, or to supplement EDR where agents can't be deployed. domain: cybersecurity subdomain: ransomware-defense tags:

  • ransomware
  • canary-files
  • watchdog
  • detection
  • early-warning
  • deception
  • defense version: 1.0.0 author: mahipal license: Apache-2.0 nist_csf:
  • PR.DS-11
  • RS.MA-01
  • RC.RP-01
  • PR.IR-01 mitre_attack:
  • T1486
  • T1083
  • T1490
  • T1485 mitre_f3: version: '1.1' tactics:
    • monetization techniques:
    • id: F1018 name: Convert to Cryptocurrency tactic: monetization source: f3
    • id: F1017 name: Conversion to Physical Monetary Instruments tactic: monetization source: f3
    • id: F1025.003 name: 'Electronic Funds Transfer: Wire Transfer' tactic: monetization source: f3

Deploying Ransomware Canary Files

When to Use

  • Deploying proactive ransomware detection on file servers, NAS devices, or endpoint systems
  • Building an early-warning system that detects ransomware before it encrypts business-critical data
  • Supplementing EDR solutions with lightweight canary file monitoring on systems where agents cannot be deployed
  • Testing ransomware incident response procedures by simulating canary file triggers
  • Monitoring shared drives, home directories, and backup volumes for unauthorized file operations

Do not use as a replacement for endpoint protection, backup strategy, or network segmentation. Canary files are a detection layer, not a prevention mechanism.

Prerequisites

  • Python 3.8+ with pip
  • watchdog library (pip install watchdog)
  • Write access to directories where canary files will be placed
  • SMTP server credentials or Slack webhook URL for alerting
  • Administrative access for placing canaries in system directories

Workflow

Step 1: Generate Canary Files

Create decoy files with realistic names and content that attract ransomware scanners. Files should have names like Passwords.xlsx, Financial_Report_2026.docx, backup_credentials.csv and contain plausible-looking but fake data. Place them in directories ransomware typically targets first: user desktops, Documents folders, network share roots, and backup paths.

Step 2: Deploy Filesystem Monitor

Use Python's watchdog library with a custom FileSystemEventHandler that watches canary file paths. The handler triggers on on_modified, on_deleted, on_moved, and on_created events for canary files. Any legitimate user or process should never touch these files, so any interaction is a high-confidence indicator of ransomware or unauthorized access.

Step 3: Configure Alert Pipeline

Wire the filesystem monitor to multiple alert channels: email via SMTP, Slack webhook POST, syslog forwarding to SIEM, and local log file. Include the triggering event type, file path, timestamp, and process information (when available) in alert payloads.

Step 4: Validate and Test

Simulate ransomware behavior by programmatically modifying, renaming, and deleting canary files to verify the detection pipeline fires correctly. Measure time-to-alert and validate alert delivery across all configured channels.

Key Concepts

| Term | Definition | |------|------------| | Canary File | A decoy file placed in a monitored directory that triggers an alert when accessed, modified, or deleted | | Watchdog | Python library that monitors filesystem events using OS-native APIs (inotify on Linux, FSEvents on macOS, ReadDirectoryChangesW on Windows) | | Honey File | Synonym for canary file; a fake document designed to attract and detect malicious activity | | Entropy Check | Measuring randomness in file content to detect encryption (ransomware produces high-entropy output) |

Tools & Systems

  • watchdog: Python filesystem monitoring library using OS-native event APIs
  • smtplib: Python standard library for SMTP email alerting
  • requests: HTTP library for Slack webhook integration
  • hashlib: SHA-256 hashing for canary file integrity verification
  • psutil: Process information gathering when canary file access is detected

Output Format

RANSOMWARE CANARY ALERT
========================
Timestamp: 2026-03-11T14:23:07Z
Event: FILE_MODIFIED
Canary File: /srv/shares/finance/Passwords.xlsx
Directory: /srv/shares/finance
SHA-256 Before: a3f2...8b4c
SHA-256 After: 7e91...2d3f
Alert Channels: [email, slack, syslog]
Action: Investigate immediately - potential ransomware activity

Related Skills

View on GitHub
GitHub Stars33.3k
CategorySecurity
Updated25d ago
Forks4.0k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions