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AegisOps-AI Skill · Devops

AegisOps AI – Autonomous Governance Orchestrator

Automate security and cost audits with AI.

AegisOps AI audits Linux kernel patches, Terraform cost drifts, and K8s compliance using Gemini 3 Flash. Reduce bill spikes by up to 40%.

  • DevSecOps
  • FinOps
  • Kubernetes
  • Terraform
  • Linux Kernel
  • AI Governance

About This Skill

AegisOps-AI is a professional-grade 'Living Pipeline' integrating advanced AI reasoning into the SDLC. It automates 3 high-stakes audits: Linux kernel patch security, Terraform cost drift detection, and Kubernetes compliance hardening.

Quick Start

  1. 1Install the AegisOps-AI skill on your Antigravity workspace.
  2. 2Connect your GitHub repository and Kubernetes cluster.
  3. 3Run 'aegisops audit kernel' to scan a Linux kernel patch for memory safety issues.
Example Command
aegisops audit terraform --plan-file plan.out

Core Capabilities

Neural Patch Analysis

Performs semantic code reviews of Linux Kernel patches, detecting UAF and stale state vulnerabilities beyond simple pattern matching.

Terraform Cost Drift Detection

Analyzes terraform plan outputs to identify 'Silent Disaster' cost drifts that could cause massive bill spikes.

Kubernetes Compliance Hardening

Translates natural language security intent into hardened 'Least Privilege' securityContexts for deployments.

CI/CD Quality Gating

Blocks non-compliant merges via GitHub Actions by integrating audit results directly into the pull request workflow.

Usage Examples

Before

Manual review of kernel patches takes hours and misses subtle logic bugs.

After

AegisOps AI scans the patch in seconds and flags UAF vulnerabilities with line-level precision.

Input

Check this Terraform plan for cost drifts.

Output

Detected a 35% cost increase due to an unintended instance type change in module 'compute'.

Input

Generate a least-privilege securityContext for my deployment.

Output

Generated securityContext with readOnlyRootFilesystem: true, runAsNonRoot: true, and dropped all capabilities.

SKILL.md

---
name: aegisops-ai
description: "Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance."
risk: safe
source: community
author: Champbreed
date_added: "2026-03-24"
---

# /aegisops-ai — Autonomous Governance Orchestrator

AegisOps-AI is a professional-grade "Living Pipeline" 
that integrates advanced AI reasoning directly into 
the SDLC. It acts as an intelligent gatekeeper for 
systems-level security, cloud infrastructure costs, 
and Kubernetes compliance.

## Goal

To automate high-stakes security and financial audits by:
1. Identifying logic-based vulnerabilities (UAF, Stale 
State) in Linux Kernel patches.
2. Detecting massive "Silent Disaster" cost drifts in 
Terraform plans.
3. Translating natural language security intent into 
hardened K8s manifests.

## When to Use
- **Kernel Patch Review:** Auditing raw C-based Git diffs for memory safety.
- **Pre-Apply IaC Audit:** Analyzing `terraform plan` outputs to prevent bill spikes.
- **Cluster Hardening:** Generating "Least Privilege" securityContexts for deployments.
- **CI/CD Quality Gating:** Blocking non-compliant merges via GitHub Actions.

## When Not to Use

- **Web App Logic:** Do not use for standard web vulnerabilities (XSS, SQLi); use dedicated SAST scanners.
- **Non-C Memory Analysis:** The patch analyzer is optimized for C-logic; avoid using it for high-level languages like Python or JS.
- **Direct Resource Mutation:** This is an *auditor*, not a deployment tool. It does not execute `terraform apply` or `kubectl apply`.
- **Post-Mortem Analysis:** For analyzing *why* a previous AI session failed, use `/analyze-project` instead.

---
## 🤖 Generative AI Integration

AegisOps-AI leverages the **Google GenAI SDK** to implement a "Reasoning Path" for autonomous security and financial audits:

* **Neural Patch Analysis:** Performs semantic code reviews of Linux Kernel patches, moving beyond simple pattern matching to u

Frequently Asked Questions

FAQ

What tools does AegisOps AI integrate with?
AegisOps AI integrates with GitHub Actions for CI/CD gating, Terraform for IaC cost audits, and Kubernetes for cluster compliance hardening.
Who is the target audience for this skill?
DevOps engineers, DevSecOps practitioners, FinOps analysts, and software developers managing Linux kernel patches, Terraform infrastructure, or Kubernetes clusters.
How is AegisOps AI different from traditional SAST scanners?
Unlike standard SAST tools that rely on pattern matching, AegisOps AI uses Gemini 3 Flash for semantic reasoning, enabling it to detect logic-based vulnerabilities like use-after-free in kernel patches and cost drifts in Terraform plans.
What programming languages does AegisOps AI support?
The patch analyzer is optimized for C-language code (Linux kernel patches). It does not support high-level languages like Python or JavaScript for vulnerability analysis.
What results can I expect from using AegisOps AI?
Users can expect automated detection of memory safety bugs in kernel patches, identification of cost drifts that could cause bill spikes of up to 40%, and generation of hardened Kubernetes security contexts in seconds.

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Trigger Phrases

Use these phrases to activate this skill in your AI coding assistant:

audit kernel patchcheck terraform costharden k8s deploymentscan for vulnerabilitiesgenerate security contextblock non-compliant merge
AegisOps AI: Autonomous DevSecOps & FinOps Guardrails for Developers