performing-cloud-native-forensics-with-falco
Uses Falco YAML rules for runtime threat detection in containers and Kubernetes, monitoring syscalls for shell spawns, file tampering, network anomalies, and privilege escalation. Manages Falco rules via the Falco gRPC API and parses Falco alert output. Use when building container runtime security or investigating k8s cluster compromises.
Best use case
performing-cloud-native-forensics-with-falco is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Uses Falco YAML rules for runtime threat detection in containers and Kubernetes, monitoring syscalls for shell spawns, file tampering, network anomalies, and privilege escalation. Manages Falco rules via the Falco gRPC API and parses Falco alert output. Use when building container runtime security or investigating k8s cluster compromises.
Teams using performing-cloud-native-forensics-with-falco should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/performing-cloud-native-forensics-with-falco/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How performing-cloud-native-forensics-with-falco Compares
| Feature / Agent | performing-cloud-native-forensics-with-falco | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Uses Falco YAML rules for runtime threat detection in containers and Kubernetes, monitoring syscalls for shell spawns, file tampering, network anomalies, and privilege escalation. Manages Falco rules via the Falco gRPC API and parses Falco alert output. Use when building container runtime security or investigating k8s cluster compromises.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Performing Cloud Native Forensics with Falco
## When to Use
- When conducting security assessments that involve performing cloud native forensics with falco
- 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 cloud 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
Deploy and manage Falco rules for runtime security detection in containerized
environments. Parse Falco alerts for incident response.
```yaml
# Custom Falco rule for detecting shell in container
- rule: Shell Spawned in Container
desc: Detect shell process started in a container
condition: >
spawned_process and container
and proc.name in (bash, sh, zsh, dash, csh)
and not proc.pname in (docker-entrypo, supervisord)
output: >
Shell spawned in container
(user=%user.name command=%proc.cmdline container=%container.name
image=%container.image.repository)
priority: WARNING
tags: [container, shell, mitre_execution]
```
Key detection rules:
1. Shell spawn in non-interactive containers
2. Sensitive file access (/etc/shadow, /etc/passwd)
3. Outbound connections from unexpected containers
4. Privilege escalation via setuid/setgid
5. Container escape via mount or ptrace
## Examples
```bash
# Run Falco with custom rules
falco -r /etc/falco/custom_rules.yaml -o json_output=true
# Parse JSON alerts
cat /var/log/falco/alerts.json | python3 -c "import json,sys; [print(json.loads(l)['output']) for l in sys.stdin]"
```