Agent skill

Implementing Honeytokens For Breach Detection

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers.

Apache-2.0Auto-check: warningsDevOps & Cloud

Install Implementing Honeytokens For Breach Detection

The automated check flagged lines worth reading first. See the safety section below.

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

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-honeytokens-for-breach-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-honeytokens-for-breach-detection .claude/skills/implementing-honeytokens-for-breach-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-honeytokens-for-breach-detection
GitHub stars
34k
Token cost
~593 tokens
SKILL.md length
139 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers.

  • Works in 5 steps: AWS credential files… → DNS tokens embedded in configuration files → Document beacons (Word/PDF) in sensitive… → …
  • Alerts when accessed by attackers
  • SKILL.md covers When to Use, Prerequisites, Instructions and Examples
  • Runs Python scripts from its folder; reaches canarytokens.org

What it does

Implementing Honeytokens For Breach Detection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers. Uses the Canarytokens API and custom webhook integrations for breach detection. Use when building deception-based early warning systems for intrusion detection.

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 Deployment, Network security and Webhooks. It works with 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

  • Alerts when accessed by attackers
  • Building deception-based early warning systems for intrusion detection

Example prompts

  • “Use the implementing-honeytokens-for-breach-detection skill to deploy canary tokens and honeytokens (fake AWS credentials, DNS canaries, document…”
  • “/implementing-honeytokens-for-breach-detection”

Requirements

  • Python 3

Workflow steps

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

  1. AWS credential files (~/.aws/credentials) with canary keys
  2. DNS tokens embedded in configuration files
  3. Document beacons (Word/PDF) in sensitive file shares
  4. Database honeytoken records in user tables
  5. Web bugs in internal wiki/documentation pages

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

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

    • canarytokens.org

    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 Honeytokens For Breach Detection loads about 593 tokens when it runs, and up to ~975 if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 139 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~593
With references · SKILL.md plus every file in references/, read only if the agent opens them
~975

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: warnings

The automated check found patterns that need a careful read before installing.

  • WarningMentions a credentials file (SSH keys, cloud or package-manager tokens)SKILL.md:70
    1. AWS credential files (~/.aws/credentials) with canary keys
  • WarningMentions a credentials file (SSH keys, cloud or package-manager tokens)SKILL.md:81
    with open("/opt/backup/.aws/credentials", "w") as f:

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). 139 words, ~593 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-honeytokens-for-breach-detection/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
implementing-honeytokens-for-breach-detection
description
Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers. Uses the Canarytokens API and custom webhook integrations for breach detection. Use when building deception-based early warning systems for intrusion detection.
domain
cybersecurity
subdomain
security-operations
tags
deception-technology, honeytokens, canary-tokens, breach-detection, dns-canary, security-operations
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
DE.CM-01, RS.MA-01, GV.OV-01, DE.AE-02
mitre_attack
T1078, T1190, T1059, T1003, T1110

Implementing Honeytokens for Breach Detection

When to Use

  • When deploying or configuring implementing honeytokens for breach detection 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

  • Familiarity with security operations concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

Deploy honeytokens across critical systems to detect unauthorized access. Each token type alerts via webhook when triggered by an attacker.

python
import requests

# Create a DNS canary token via Canarytokens
resp = requests.post("https://canarytokens.org/generate", data={
    "type": "dns",
    "email": "soc@company.com",
    "memo": "Production DB server honeytoken",
})
token = resp.json()
print(f"DNS token: {token['hostname']}")

Token types to deploy:

  1. AWS credential files (~/.aws/credentials) with canary keys
  2. DNS tokens embedded in configuration files
  3. Document beacons (Word/PDF) in sensitive file shares
  4. Database honeytoken records in user tables
  5. Web bugs in internal wiki/documentation pages

Examples

python
# Generate a fake AWS credentials file with canary token
aws_creds = f"[default]\naws_access_key_id = {canary_key_id}\naws_secret_access_key = {canary_secret}\n"
with open("/opt/backup/.aws/credentials", "w") as f:
    f.write(aws_creds)

© 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-honeytokens-for-breach-detection 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 Honeytokens For Breach 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.

Implementing Honeytokens For Breach Detection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementing Honeytokens For Breach Detection this skillmukul975/Anthropic-Cybersecurity-Skills34k—~593Automated safety check: WarnApache-2.0
Cloud Provisioningelastic/agent-skills592—~5.4kAutomated safety check: PassApache-2.0
Hcls Deploy Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~813Automated safety check: PassMIT-0
Deployserithemage/serverless-openclaw196—~898Automated safety check: NotesNone
Robotics Securityarpitg1304/robotics-agent-skills369—~7.8kAutomated safety check: WarnApache-2.0
Flexport Deploy Integrationjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT

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Questions about Implementing Honeytokens For Breach Detection

What does Implementing Honeytokens For Breach Detection do?

Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers. Implementing Honeytokens For Breach Detection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers.

When should I use Implementing Honeytokens For Breach Detection?

Implementing Honeytokens For Breach Detection fits situations like: alerts when accessed by attackers; building deception-based early warning systems for intrusion detection.

How do I install Implementing Honeytokens For Breach Detection in Claude Code?

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

How do I install Implementing Honeytokens For Breach Detection in Codex?

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

Can I use Implementing Honeytokens For Breach 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-honeytokens-for-breach-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-honeytokens-for-breach-detection, .gemini/skills/implementing-honeytokens-for-breach-detection, .github/skills/implementing-honeytokens-for-breach-detection and .opencode/skills/implementing-honeytokens-for-breach-detection in your project.

What does Implementing Honeytokens For Breach Detection need to run?

Going by SKILL.md and its folder, Implementing Honeytokens For Breach Detection needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Implementing Honeytokens For Breach Detection access the network?

SKILL.md names 1 domain. In commands or code: canarytokens.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Implementing Honeytokens For Breach Detection safe to install?

Our automated static check of SKILL.md flagged 2 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Implementing Honeytokens For Breach Detection use?

Implementing Honeytokens For Breach 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 Honeytokens For Breach Detection use?

About 593 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 382 tokens, read only when the agent opens those files.

What are the alternatives to Implementing Honeytokens For Breach Detection?

Skills that share tags, products or a category with Implementing Honeytokens For Breach Detection: Cloud Provisioning (elastic/agent-skills, 592 stars), Hcls Deploy Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Deploy (serithemage/serverless-openclaw, 196 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 Honeytokens For Breach 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.