performing-container-escape-detection

Detects container escape attempts by analyzing namespace configurations, privileged container checks, dangerous capability assignments, and host path mounts using the kubernetes Python client. Identifies CVE-2022-0492 style escapes via cgroup abuse. Use when auditing container security posture or investigating escape attempts.

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Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-container-escape-detection

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Installation Guide

How to use performing-container-escape-detection on Cursor

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1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add performing-container-escape-detection
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-container-escape-detection

Fetches performing-container-escape-detection from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/performing-container-escape-detection

Restart Cursor to activate performing-container-escape-detection. Access via /performing-container-escape-detection in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
performing-container-escape-detection
description
'Detects container escape attempts by analyzing namespace configurations, privileged container checks, dangerous capability assignments, and host path mounts using the kubernetes Python client. Identifies CVE-2022-0492 style escapes via cgroup abuse. Use when auditing container security posture or investigating escape attempts. '
domain
cybersecurity
subdomain
container-security
tags
- performing - container - escape - detection
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.PS-01 - PR.IR-01 - ID.AM-08 - DE.CM-01

Performing Container Escape Detection

When to Use

  • When conducting security assessments that involve performing container escape detection
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Familiarity with container security 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

Audit Kubernetes pods for container escape vectors including privileged mode, dangerous capabilities, host namespace sharing, and writable hostPath mounts.

from kubernetes import client, config
config.load_kube_config()
v1 = client.CoreV1Api()

pods = v1.list_pod_for_all_namespaces()
for pod in pods.items:
    for container in pod.spec.containers:
        sc = container.security_context
        if sc and sc.privileged:
            print(f"PRIVILEGED: {pod.metadata.namespace}/{pod.metadata.name}")

Key escape vectors:

  1. Privileged containers (full host access)
  2. CAP_SYS_ADMIN capability
  3. Host PID/Network/IPC namespace sharing
  4. Writable hostPath mounts to / or /etc
  5. Docker socket mount (/var/run/docker.sock)

Examples

# Check for docker socket mounts
for vol in pod.spec.volumes or []:
    if vol.host_path and "docker.sock" in (vol.host_path.path or ""):
        print(f"Docker socket exposed: {pod.metadata.name}")

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.840 reviews
  • C
    Chaitanya PatilDec 28, 2024

    performing-container-escape-detection fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • I
    Ishan ZhangDec 16, 2024

    performing-container-escape-detection reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • A
    Amelia OkaforDec 12, 2024

    Solid pick for teams standardizing on skills: performing-container-escape-detection is focused, and the summary matches what you get after install.

  • M
    Mateo DixitDec 8, 2024

    We added performing-container-escape-detection from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • M
    Mateo KapoorNov 27, 2024

    Keeps context tight: performing-container-escape-detection is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • A
    Aanya BansalNov 23, 2024

    Solid pick for teams standardizing on skills: performing-container-escape-detection is focused, and the summary matches what you get after install.

  • P
    Piyush GNov 19, 2024

    performing-container-escape-detection is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • D
    Daniel BrownNov 7, 2024

    I recommend performing-container-escape-detection for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • A
    Amelia NdlovuOct 26, 2024

    Useful defaults in performing-container-escape-detection — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • S
    Sofia KimOct 18, 2024

    performing-container-escape-detection is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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