Skill Market

implementing deception based detection with canarytoken

Deploy and monitor Canary Tokens via the Thinkst Canary API for deception-based breach detection using web bug

GitHub
githubcommunityai-agentsclaude-codecloud-securitycybersecuritydevsecopsethical-hacking
0.0
0 installs33.4K GitHub starsby mukul975

Skill Introduction

Overview
Deploy and monitor Canary Tokens via the Thinkst Canary API for deception-based breach detection using web bug

Core value

Turns reusable Other know-how into an installable skill, helping users complete github, community, ai-agents, claude-code work faster.

Target users

  • Developers, testers, and maintainers who handle Other tasks in Focus Code.
  • Teams that already trust workflows or content from mukul975.
  • Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

  • Read the skill content first to confirm required inputs, expected outputs, and dependencies.
  • Try it on a small task before relying on it for critical work.
  • Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
  • For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

  • Tasks related to github, community, ai-agents, claude-code that need a reusable execution flow.
  • Converting a community repo, team convention, or personal workflow into day-to-day assistance.
  • Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

  • Results depend on the quality of the original skill content and may need human correction.
  • It does not replace code review, tests, security review, or professional judgment.
  • External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

  • Structured around Other, making it easier to discover and reuse than loose prompt snippets.
  • Marked as GitHub, which helps users judge trust and maintenance expectations.
  • Keeps the original source link available for repository, documentation, or discussion follow-up.
  • Tagged with github, community, ai-agents, claude-code, so it can be filtered by concrete task intent.

Install and use

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focus install implementing-deception-based-detection-with-canarytoken-c71d71
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SKILL.md

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name: implementing-deception-based-detection-with-canarytoken description: Deploy and monitor Canary Tokens via the Thinkst Canary API for deception-based breach detection using web bug tokens, DNS tokens, document tokens, and AWS key tokens. domain: cybersecurity subdomain: deception-technology tags:

  • canarytoken
  • deception
  • honeytokens
  • breach-detection
  • Thinkst-Canary
  • tripwire
  • early-warning version: '1.0' author: mahipal license: Apache-2.0 nist_csf:
  • DE.CM-01
  • DE.AE-06
  • PR.IR-01

Implementing Deception-Based Detection with Canarytoken

Overview

Canary Tokens are lightweight tripwire mechanisms that alert when an attacker accesses a resource. This skill uses the Thinkst Canary REST API to programmatically create tokens (web bugs, DNS tokens, MS Word documents, AWS API keys), deploy them to strategic locations, monitor for triggered alerts, and generate deception coverage reports.

When to Use

  • When deploying or configuring implementing deception based detection with canarytoken capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Thinkst Canary Console or canarytokens.org account
  • API auth token from Canary Console
  • Python 3.9+ with requests
  • File system access for deploying document and file tokens

Steps

  1. Authenticate to the Canary Console API using auth_token
  2. Create web bug (HTTP) tokens for embedding in documents and web pages
  3. Create DNS tokens for monitoring DNS resolution attempts
  4. Create MS Word document tokens for file share deployment
  5. List all active tokens and their trigger history
  6. Query recent alerts for triggered token events
  7. Generate deception coverage report with deployment recommendations

Expected Output

  • JSON report listing all deployed Canary Tokens, trigger history, alert details, and coverage analysis
  • Deployment map showing token types across network segments

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