Agent skill

Analyzing Kubernetes Audit Logs

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules…

Apache-2.0Auto-check passedDevOps & Cloud

Install Analyzing Kubernetes Audit Logs

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-kubernetes-audit-logs -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-kubernetes-audit-logs --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/analyzing-kubernetes-audit-logs .claude/skills/analyzing-kubernetes-audit-logs && 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
analyzing-kubernetes-audit-logs
GitHub stars
34k
Token cost
~654 tokens
SKILL.md length
128 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules…

  • Works in 5 steps: pods/exec and pods/attach (shell into… → secrets access (get/list/watch) → clusterrolebindings creation (RBAC… → …
  • Investigating a suspected cluster compromise
  • SKILL.md covers When to Use, Prerequisites, Instructions and Examples
  • Runs Python scripts from its folder

What it does

Analyzing Kubernetes Audit Logs is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for…

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 Container orchestration, Authorization and RBAC and Security operations. It works with Kubernetes. 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

  • Investigating a suspected cluster compromise
  • Reconstructing what an attacker did through the API server
  • Writing Kubernetes-specific detection content
  • Syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco

Example prompts

  • “Use the analyzing-kubernetes-audit-logs skill to parse Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC…”
  • “/analyzing-kubernetes-audit-logs”

Requirements

  • Python 3

Workflow steps

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

  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

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

Analyzing Kubernetes Audit Logs loads about 654 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 163 tokens; SKILL.md has 128 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~163
When it runs · the whole SKILL.md, loaded when a task matches
~654
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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). 128 words, ~654 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-kubernetes-audit-logs/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
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, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco. '
domain
cybersecurity
subdomain
container-security
tags
kubernetes-security, container-security, audit-log-analysis, rbac, privilege-escalation, k8s-api-server, threat-detection
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
PR.PS-01, PR.IR-01, ID.AM-08, DE.CM-01
mitre_attack
T1610, T1613, T1078, T1552.007

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.

python
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

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

© 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/analyzing-kubernetes-audit-logs 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

Analyzing Kubernetes Audit Logs 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.

Analyzing Kubernetes Audit Logs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyzing Kubernetes Audit Logs this skillmukul975/Anthropic-Cybersecurity-Skills34k—~654Automated safety check: PassApache-2.0
Operate Kubernetes Toolchaincyberful/cyberful135—~898Automated safety check: PassAGPL-3.0
KubeSphere Multi-Tenant Managementkubesphere/kubesphere17k—~3.1kAutomated safety check: PassCustom licence
Azure Bastion Jitvinayaklatthe/microsoft-security-skills175—~2.2kAutomated safety check: PassMIT
Infra Triagepapadopouloskyriakos/agentic-chatops107—~714Automated safety check: NotesNone
Kubernetesnotque/vexjoy-agent441—~1.5kAutomated safety check: PassMIT

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Works with

Questions about Analyzing Kubernetes Audit Logs

What does Analyzing Kubernetes Audit Logs do?

Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules…. Analyzing Kubernetes Audit Logs is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns.

When should I use Analyzing Kubernetes Audit Logs?

Analyzing Kubernetes Audit Logs fits situations like: investigating a suspected cluster compromise; reconstructing what an attacker did through the API server; writing Kubernetes-specific detection content; syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco.

How do I install Analyzing Kubernetes Audit Logs in Claude Code?

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

How do I install Analyzing Kubernetes Audit Logs in Codex?

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

Can I use Analyzing Kubernetes Audit Logs 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 analyzing-kubernetes-audit-logs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-kubernetes-audit-logs, .gemini/skills/analyzing-kubernetes-audit-logs, .github/skills/analyzing-kubernetes-audit-logs and .opencode/skills/analyzing-kubernetes-audit-logs in your project.

What does Analyzing Kubernetes Audit Logs need to run?

Going by SKILL.md and its folder, Analyzing Kubernetes Audit Logs needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Analyzing Kubernetes Audit Logs 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 Analyzing Kubernetes Audit Logs 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 Analyzing Kubernetes Audit Logs use?

Analyzing Kubernetes Audit Logs 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 Analyzing Kubernetes Audit Logs use?

About 654 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 405 tokens, read only when the agent opens those files.

What are the alternatives to Analyzing Kubernetes Audit Logs?

Skills that share tags, products or a category with Analyzing Kubernetes Audit Logs: Operate Kubernetes Toolchain (cyberful/cyberful, 135 stars), KubeSphere Multi-Tenant Management (kubesphere/kubesphere, 17k stars), Azure Bastion Jit (vinayaklatthe/microsoft-security-skills, 175 stars) and Infra Triage (papadopouloskyriakos/agentic-chatops, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing Kubernetes Audit Logs?

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.