aegisops-ai

Solid

Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.

AI & Automation 131 stars 27 forks Updated 1 weeks ago MIT

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Quality Score: 91/100

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90
Frontmatter 20%
70
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Issue Health 10%
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License 10%
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Description 5%
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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. --- ## 🤖 Generative AI Integration AegisOps-AI ...

Details

Author
lingxling
Repository
lingxling/awesome-skills-cn
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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