analyzing-kubernetes-audit-logs

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-kubernetes-audit-logs
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summary

Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access. Builds threat detection rules from audit event patterns. Use when investigating Kubernetes cluster compromise or building k8s-specific SIEM detection rules.

skill.md
name
analyzing-kubernetes-audit-logs
description
'Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access. Builds threat detection rules from audit event patterns. Use when investigating Kubernetes cluster compromise or building k8s-specific SIEM detection rules. '
domain
cybersecurity
subdomain
container-security
tags
- analyzing - kubernetes - audit - logs
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.PS-01 - PR.IR-01 - ID.AM-08 - DE.CM-01

Analyzing Kubernetes Audit Logs

When to Use

  • When investigating security incidents that require analyzing kubernetes audit logs
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

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

Parse Kubernetes audit log files (JSON lines format) to detect security-relevant events including unauthorized access, privilege escalation, and data exfiltration.

import json

with open("/var/log/kubernetes/audit.log") as f:
    for line in f:
        event = json.loads(line)
        verb = event.get("verb")
        resource = event.get("objectRef", {}).get("resource")
        user = event.get("user", {}).get("username")
        if verb == "create" and resource == "pods/exec":
            print(f"Pod exec by {user}")

Key events to detect:

  1. pods/exec and pods/attach (shell into containers)
  2. secrets access (get/list/watch)
  3. clusterrolebindings creation (RBAC escalation)
  4. Privileged pod creation
  5. Anonymous or system:unauthenticated access

Examples

# Detect secret enumeration
if verb in ("get", "list") and resource == "secrets":
    print(f"Secret access: {user} -> {event['objectRef'].get('name')}")
how to use analyzing-kubernetes-audit-logs

How to use analyzing-kubernetes-audit-logs on Cursor

AI-first code editor with Composer

1

Prerequisites

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

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add analyzing-kubernetes-audit-logs
2

Execute installation command

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

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-kubernetes-audit-logs

The skills CLI fetches analyzing-kubernetes-audit-logs from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/analyzing-kubernetes-audit-logs

Reload or restart Cursor to activate analyzing-kubernetes-audit-logs. Access the skill through slash commands (e.g., /analyzing-kubernetes-audit-logs) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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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

Installation Steps

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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.774 reviews
  • Zara Chen· Dec 28, 2024

    Solid pick for teams standardizing on skills: analyzing-kubernetes-audit-logs is focused, and the summary matches what you get after install.

  • Pratham Ware· Dec 24, 2024

    Useful defaults in analyzing-kubernetes-audit-logs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sophia Anderson· Dec 24, 2024

    We added analyzing-kubernetes-audit-logs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Luis Yang· Dec 20, 2024

    I recommend analyzing-kubernetes-audit-logs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Min Johnson· Dec 8, 2024

    analyzing-kubernetes-audit-logs has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Emma Mensah· Dec 4, 2024

    analyzing-kubernetes-audit-logs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Min Taylor· Dec 4, 2024

    Useful defaults in analyzing-kubernetes-audit-logs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Advait Kapoor· Nov 27, 2024

    Useful defaults in analyzing-kubernetes-audit-logs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • William Brown· Nov 23, 2024

    analyzing-kubernetes-audit-logs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Alexander Gonzalez· Nov 23, 2024

    analyzing-kubernetes-audit-logs has been reliable in day-to-day use. Documentation quality is above average for community skills.

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