aegisops-ai
FeaturedAutonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.
AI & Automation 281 stars
48 forks Updated 1 months ago MIT
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Skill Content
# /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.
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## 🤖 Generative AI Integration
AegisOps-AI ...
Details
- Author
- lingxling
- Repository
- lingxling/awesome-skills-cn
- Created
- 7 months ago
- Last Updated
- 1 months ago
- Language
- Python
- License
- MIT
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