Agent skill

Implementing Security Chaos Engineering

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Implements security chaos engineering experiments that deliberately disable or degrade security controls to verify detection and response capabilities.

Apache-2.0Auto-check passedDevOps & Cloud

Install Implementing Security Chaos Engineering

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-security-chaos-engineering -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-security-chaos-engineering --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-security-chaos-engineering .claude/skills/implementing-security-chaos-engineering && 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-security-chaos-engineering
GitHub stars
34k
Token cost
~650 tokens
SKILL.md length
143 words
Files
4 (incl. scripts, references)
Skills in repo
637
Repo updated
First seen
Licence
Apache-2.0

At a glance

Implements security chaos engineering experiments that deliberately disable or degrade security controls to verify detection and response capabilities.

  • Works in 5 steps: Open a security group and verify Config… → Disable CloudTrail and verify detection… → Create IAM admin user and verify alert… → …
  • Validating SOC detection coverage and resilience
  • SKILL.md covers When to Use, Prerequisites, Instructions and Examples
  • Runs Python scripts from its folder

What it does

Implementing Security Chaos Engineering is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implements security chaos engineering experiments that deliberately disable or degrade security controls to verify detection and response capabilities. Tests WAF bypass, firewall rule removal, log pipeline disruption, and EDR disablement scenarios using boto3 and subprocess. Use when validating SOC detection coverage and resilience.

Its SKILL.md is about 650 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 Chaos engineering, Cloud networking and Security operations. 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

  • Validating SOC detection coverage and resilience
  • Tasks that involve Chaos engineering
  • Tasks that involve Cloud networking

Example prompts

  • “Use the implementing-security-chaos-engineering skill to implement security chaos engineering experiments that deliberately disable or degrade…”
  • “/implementing-security-chaos-engineering”

Requirements

  • Python 3

Workflow steps

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

  1. Open a security group and verify Config Rule alerts
  2. Disable CloudTrail and verify detection time
  3. Create IAM admin user and verify alert triggers
  4. Simulate log pipeline failure and check monitoring gaps
  5. Deploy test malware hash and verify EDR 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 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 Security Chaos Engineering loads about 650 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 143 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~650
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

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). 143 words, ~650 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-security-chaos-engineering/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
implementing-security-chaos-engineering
description
Implements security chaos engineering experiments that deliberately disable or degrade security controls to verify detection and response capabilities. Tests WAF bypass, firewall rule removal, log pipeline disruption, and EDR disablement scenarios using boto3 and subprocess. Use when validating SOC detection coverage and resilience.
domain
cybersecurity
subdomain
security-operations
tags
security-chaos-engineering, detection-validation, resilience-testing, control-validation, security-operations
version
1.0
author
mahipal
license
Apache-2.0
nist_ai_rmf
MEASURE-2.7, MAP-5.1, MANAGE-2.4
atlas_techniques
AML.T0070, AML.T0066, AML.T0082
nist_csf
DE.CM-01, RS.MA-01, GV.OV-01, DE.AE-02
mitre_attack
T1078, T1190, T1059, T1027, T1070

Implementing Security Chaos Engineering

When to Use

  • When deploying or configuring implementing security chaos engineering 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

Design and execute security chaos experiments that intentionally break security controls to verify that detection, alerting, and response systems work correctly.

python
# Example: Verify detection when a security group is opened
import boto3
ec2 = boto3.client("ec2")

# Chaos experiment: temporarily add 0.0.0.0/0 rule
ec2.authorize_security_group_ingress(
    GroupId="sg-12345",
    IpProtocol="tcp", FromPort=22, ToPort=22,
    CidrIp="0.0.0.0/0",
)
# Verify: does GuardDuty/Config alert fire within SLA?
# Rollback: remove the rule after verification

Key experiments:

  1. Open a security group and verify Config Rule alerts
  2. Disable CloudTrail and verify detection time
  3. Create IAM admin user and verify alert triggers
  4. Simulate log pipeline failure and check monitoring gaps
  5. Deploy test malware hash and verify EDR response

Examples

python
# Rollback function for safe experiment execution
def run_experiment(setup_fn, verify_fn, rollback_fn, timeout=300):
    try:
        setup_fn()
        result = verify_fn(timeout)
    finally:
        rollback_fn()
    return result

© 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-security-chaos-engineering 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 Security Chaos Engineering 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 Security Chaos Engineering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementing Security Chaos Engineering this skillmukul975/Anthropic-Cybersecurity-Skills34k—~650Automated safety check: PassApache-2.0
Querying AWS Cloudwatchaws/agent-toolkit-for-aws2.8k—~3.5kAutomated safety check: PassApache-2.0
Kubeshark KFL2 Filter Referencekubeshark/kubeshark12k—~3.6kAutomated safety check: PassApache-2.0
Nginx To Higress Migrationhigress-group/higress9.5k—~3.9kAutomated safety check: PassApache-2.0
Bfe Rd Workflowbfenetworks/bfe6.3k—~1.3kAutomated safety check: PassApache-2.0
NGINX Ingress Controller Feature Checklistsnginx/kubernetes-ingress5.1k—~1.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Implementing Security Chaos Engineering

What does Implementing Security Chaos Engineering do?

Implements security chaos engineering experiments that deliberately disable or degrade security controls to verify detection and response capabilities. Implementing Security Chaos Engineering is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implements security chaos engineering experiments that deliberately disable or degrade security controls to verify detection and response capabilities.

When should I use Implementing Security Chaos Engineering?

Implementing Security Chaos Engineering fits situations like: validating SOC detection coverage and resilience; tasks that involve Chaos engineering; tasks that involve Cloud networking.

How do I install Implementing Security Chaos Engineering in Claude Code?

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

How do I install Implementing Security Chaos Engineering in Codex?

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

Can I use Implementing Security Chaos Engineering 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-security-chaos-engineering -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-security-chaos-engineering, .gemini/skills/implementing-security-chaos-engineering, .github/skills/implementing-security-chaos-engineering and .opencode/skills/implementing-security-chaos-engineering in your project.

What does Implementing Security Chaos Engineering need to run?

Going by SKILL.md and its folder, Implementing Security Chaos Engineering needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Implementing Security Chaos Engineering 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 Security Chaos Engineering 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 Security Chaos Engineering use?

Implementing Security Chaos Engineering 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 Security Chaos Engineering use?

About 650 tokens (SKILL.md is roughly 2.6k 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 370 tokens, read only when the agent opens those files.

What are the alternatives to Implementing Security Chaos Engineering?

Skills that share tags, products or a category with Implementing Security Chaos Engineering: Querying AWS Cloudwatch (aws/agent-toolkit-for-aws, 2.8k stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars), Nginx To Higress Migration (higress-group/higress, 9.5k stars) and Bfe Rd Workflow (bfenetworks/bfe, 6.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Security Chaos Engineering?

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.