Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/julianobarbosa/claude-code-skills/gitops-principlesnpx skills add julianobarbosa/claude-code-skills --skill gitops-principlesgit clone --depth 1 https://github.com/julianobarbosa/claude-code-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/julianobarbosa/claude-code-skills/gitops-principles)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/gitops-principles"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/gitops-principles.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00163 | $0.03341 |
| Opus 5 | $0.00081 | $0.01670 |
| Sonnet 5 | $0.00033 | $0.00668 |
| Haiku 4.5 | $0.00016 | $0.00334 |
Grade A, and why
gitops-principles scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 454 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitOps Principles Skill
Complete guide for implementing GitOps methodology in Kubernetes environments - the operational framework where Git is the single source of truth for declarative infrastructure and applications.
What is GitOps?
GitOps is a set of practices that uses Git repositories as the source of truth for defining the desired state of infrastructure and applications. An automated process ensures the production environment matches the state described in the repository.
The OpenGitOps Definition (CNCF)
GitOps is defined by four core principles established by the OpenGitOps project (part of CNCF):
| Principle | Description |
|---|---|
| 1. Declarative | The entire system must be described declaratively |
| 2. Versioned and Immutable | Desired state is stored in a way that enforces immutability, versioning, and retention |
| 3. Pulled Automatically | Software agents automatically pull desired state from the source |
| 4. Continuously Reconciled | Agents continuously observe and attempt to apply desired state |
Core Concepts Quick Reference
Git as Single Source of Truth
┌─────────────────────────────────────────────────────────────────┐
│ GIT REPOSITORY │
│ (Single Source of Truth for Desired State) │
├─────────────────────────────────────────────────────────────────┤
│ manifests/ │
│ ├── base/ # Base configurations │
│ │ ├── deployment.yaml │
│ │ ├── service.yaml │
│ │ └── kustomization.yaml │
│ └── overlays/ # Environment-specific │
│ ├── dev/ │
│ ├── staging/ │
│ └── production/ │
└─────────────────────────────────────────────────────────────────┘
│
▼ Pull (not Push)
┌─────────────────────────────────────────────────────────────────┐
│ GITOPS CONTROLLER │
│ (ArgoCD / Flux / Kargo) │
│ - Continuously watches Git repository │
│ - Compares desired state vs actual state │
│ - Reconciles differences automatically │
└─────────────────────────────────────────────────────────────────┘
│
▼ Apply
┌─────────────────────────────────────────────────────────────────┐
│ KUBERNETES CLUSTER │
│ (Actual State / Runtime Environment) │
└─────────────────────────────────────────────────────────────────┘
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/anti-patterns.md 10 KB
- references/azure-arc-integration.md 13 KB
- references/core-principles.md 13 KB
- references/patterns-and-practices.md 12 KB
- references/tooling-ecosystem.md 17 KB
- references/troubleshooting.md 10 KB
- scripts/gitops-health-check.sh 14 KB runs code
- templates/application.yaml 6.2 KB
- templates/applicationset.yaml 7.4 KB
- templates/kustomization.yaml 8.5 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 454 lines · 163 tokens per session scan A 698ee25dc17c
gitops-principles is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 163 tokens to every session and 3,341 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…