Agent skill

Implementing Deception Based Detection With Canarytoken

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Deploys and monitors Canary Tokens via the Thinkst Canary REST API for deception-based breach detection, programmatically creating web bug, DNS, MS Word document, and AWS API key tokens and…

Apache-2.0Auto-check passedDevOps & Cloud

Install Implementing Deception Based Detection With Canarytoken

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-deception-based-detection-with-canarytoken -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-deception-based-detection-with-canarytoken --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-deception-based-detection-with-canarytoken .claude/skills/implementing-deception-based-detection-with-canarytoken && 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-deception-based-detection-with-canarytoken
GitHub stars
34k
Token cost
~591 tokens
SKILL.md length
215 words
Files
4 (incl. scripts, references)
Skills in repo
637
Repo updated
First seen
Licence
Apache-2.0

At a glance

Deploys and monitors Canary Tokens via the Thinkst Canary REST API for deception-based breach detection, programmatically creating web bug, DNS, MS Word document, and AWS API key tokens and…

  • Works in 7 steps: Authenticate to the Canary Console API… → Create web bug (HTTP) tokens for… → Create DNS tokens for monitoring DNS… → …
  • Standing up honeytoken tripwires for early breach detection
  • SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
  • Runs Python scripts from its folder

What it does

Implementing Deception Based Detection With Canarytoken is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys and monitors Canary Tokens via the Thinkst Canary REST API for deception-based breach detection, programmatically creating web bug, DNS, MS Word document, and AWS API key tokens and generating deception coverage reports from triggered alerts. Use when standing up honeytoken tripwires for early breach detection or building a deception-technology coverage report.

Its SKILL.md is about 590 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 DevOps & Cloud, covering Test coverage, Deployment and Word documents. It works with Microsoft Word and Amazon Web Services. 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

  • Standing up honeytoken tripwires for early breach detection
  • Building a deception-technology coverage report

Example prompts

  • “Use the implementing-deception-based-detection-with-canarytoken skill to deploy and monitors Canary Tokens via the Thinkst Canary REST API for…”
  • “/implementing-deception-based-detection-with-canarytoken”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  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

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 1 file in scripts/ (Python), which the agent can run.

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

  • Network

    No URLs in SKILL.md.

    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 Deception Based Detection With Canarytoken loads about 591 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 215 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~591
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

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). 215 words, ~591 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-deception-based-detection-with-canarytoken/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
implementing-deception-based-detection-with-canarytoken
description
Deploys and monitors Canary Tokens via the Thinkst Canary REST API for deception-based breach detection, programmatically creating web bug, DNS, MS Word document, and AWS API key tokens and generating deception coverage reports from triggered alerts. Use when standing up honeytoken tripwires for early breach detection or building a deception-technology coverage report.
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
mitre_attack
T1078, T1190, T1059, T1078.004, T1530

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

© 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 3 other files (scripts, references) in skills/implementing-deception-based-detection-with-canarytoken of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Implementing Deception Based Detection With Canarytoken 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.

Implementing Deception Based Detection With Canarytoken compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementing Deception Based Detection With Canarytoken this skillmukul975/Anthropic-Cybersecurity-Skills34k—~591Automated safety check: PassApache-2.0
Spa Add Test Scenariosplunk/splunk-platform-automator137—~2.2kAutomated safety check: PassProprietary
Hcls Deploy Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~813Automated safety check: PassMIT-0
Deployserithemage/serverless-openclaw196—~898Automated safety check: NotesNone
AWS Cdk Developmentzxkane/aws-skills3672 repos~2.5kAutomated safety check: PassMIT
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence

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Questions about Implementing Deception Based Detection With Canarytoken

What does Implementing Deception Based Detection With Canarytoken do?

Deploys and monitors Canary Tokens via the Thinkst Canary REST API for deception-based breach detection, programmatically creating web bug, DNS, MS Word document, and AWS API key tokens and…. Implementing Deception Based Detection With Canarytoken is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys and monitors Canary Tokens via the Thinkst Canary REST API for deception-based breach detection, programmatically creating web bug, DNS, MS Word document, and AWS API key tokens and generating deception coverage reports from triggered alerts.

When should I use Implementing Deception Based Detection With Canarytoken?

Implementing Deception Based Detection With Canarytoken fits situations like: standing up honeytoken tripwires for early breach detection; building a deception-technology coverage report.

How do I install Implementing Deception Based Detection With Canarytoken in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-deception-based-detection-with-canarytoken -a claude-code`. Or copy the skill folder (skills/implementing-deception-based-detection-with-canarytoken in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-deception-based-detection-with-canarytoken in your project. Claude Code loads it when a task matches its description.

How do I install Implementing Deception Based Detection With Canarytoken in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-deception-based-detection-with-canarytoken -a codex`. Or copy the skill folder (skills/implementing-deception-based-detection-with-canarytoken in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-deception-based-detection-with-canarytoken in your project. Codex loads it when a task matches its description.

Can I use Implementing Deception Based Detection With Canarytoken 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-deception-based-detection-with-canarytoken -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-deception-based-detection-with-canarytoken, .gemini/skills/implementing-deception-based-detection-with-canarytoken, .github/skills/implementing-deception-based-detection-with-canarytoken and .opencode/skills/implementing-deception-based-detection-with-canarytoken in your project.

What does Implementing Deception Based Detection With Canarytoken need to run?

Going by SKILL.md and its folder, Implementing Deception Based Detection With Canarytoken needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Implementing Deception Based Detection With Canarytoken access the network?

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.

Is Implementing Deception Based Detection With Canarytoken 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 Deception Based Detection With Canarytoken use?

Implementing Deception Based Detection With Canarytoken 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 Deception Based Detection With Canarytoken use?

About 591 tokens (SKILL.md is roughly 2.4k 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 749 tokens, read only when the agent opens those files.

What are the alternatives to Implementing Deception Based Detection With Canarytoken?

Skills that share tags, products or a category with Implementing Deception Based Detection With Canarytoken: Spa Add Test Scenario (splunk/splunk-platform-automator, 137 stars), Hcls Deploy Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Deploy (serithemage/serverless-openclaw, 196 stars) and AWS Cdk Development (zxkane/aws-skills, 367 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Deception Based Detection With Canarytoken?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,922 GitHub stars. The repository holds 637 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.