Agent skill · software engineering · sickn33
aegisops-ai
Autonomous DevSecOps & FinOps Guardrails. Guide to reviewing Linux kernel patches, Terraform cost changes and Kubernetes policy with a separately reviewed upstream tool and configured model.
Why this skill is useful
Adds 3 executable scripts for auditing Linux Kernel patches, Terraform cost drifts, and generating Kubernetes security contexts that are not commonly found in public documentation.
What it needs
Requires google-genai, python-dotenv, python3 installed locally. Requires google-genai account access. About 3k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
/aegisops-ai — Autonomous Governance Orchestrator AegisOps-AI is described by its upstream as a governance 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 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/aegisops-ai