| name | aegisops-ai |
| description | Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance. |
| type | skill |
| created | 2026-02-27T00:00:00.000Z |
| domain | ai-ml |
| category | llm-agents |
| risk | safe |
| source | community |
| tags | ["skill","ai-ml","llm-agents","aegisops"] |
/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:
- Identifying logic-based vulnerabilities (UAF, Stale
State) in Linux Kernel patches.
- Detecting massive "Silent Disaster" cost drifts in
Terraform plans.
- 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 understand complex memory state logic.
- Intelligent Cost Synthesis: Processes raw Terraform plan diffs through a financial reasoning model to detect high-risk resource escalations and "silent" fiscal drifts.
- Natural Language Policy Mapping: Translates human security intent into syntactically correct, hardened Kubernetes
securityContext configurations.
🧭 Core Modules
1. 🐧 Kernel Patch Reviewer (patch_analyzer.py)
