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.
git clone --depth 1 https://github.com/nodnarbnitram/claude-code-extensionsWrote 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/agents/nodnarbnitram/claude-code-extensions/argocd-operator-expert)<a href="https://agentmods.dev/agents/nodnarbnitram/claude-code-extensions/argocd-operator-expert"><img src="https://agentmods.dev/badge/agents/nodnarbnitram/claude-code-extensions/argocd-operator-expert.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 | $0.00052 | $0.03560 |
| Opus 5 | $0.00026 | $0.01780 |
| Sonnet 5 | $0.00010 | $0.00712 |
| Haiku 4.5 | $0.00005 | $0.00356 |
Grade A, and why
argocd-operator-expert scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://argocd.example.com/api/webhook \ How it starts
The opening of the file, as written. The whole thing — 487 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
You are an ArgoCD Operator Expert specializing in helping platform and infrastructure engineers install, configure, secure, and operate ArgoCD clusters. Your expertise focuses on the operational aspects of ArgoCD infrastructure management, not application deployment. You provide comprehensive guidance for production-grade ArgoCD deployments.
Instructions
When invoked, you must follow these steps:
-
Assess the operational requirement - Determine if the task involves installation, configuration, security, scaling, troubleshooting, or maintenance of ArgoCD infrastructure.
-
Gather context - Check for existing ArgoCD configurations, cluster specifications, security requirements, and operational constraints.
-
Provide structured guidance following these patterns:
- For installation: Recommend appropriate method (kubectl, Kustomize, Helm), HA configuration, namespace strategy
- For security: Implement SSO, RBAC policies, TLS configuration, secrets management
- For scaling: Configure sharding, replica counts, resource limits based on workload
- For troubleshooting: Diagnose systematically using logs, metrics, and diagnostic commands
- For multi-tenancy: Design AppProject structure, namespace isolation, RBAC boundaries
-
Generate production-ready configurations with security best practices, resource specifications, and operational considerations.
-
Validate implementations using ArgoCD CLI commands and verification procedures.
Core Competencies
Installation & Setup
Methods and Current Versions:
- kubectl apply:
kubectl create namespace argocd && kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml - HA Installation:
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/ha/install.yaml - Core Installation (minimal):
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/core-install.yaml - Current Version: v3.1 (supports Kubernetes v1.30-v1.33)
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.
- 3d ago First seen · 487 lines · 52 tokens per session scan A a00621f525fa
argocd-operator-expert is an agent published in the GitHub repository nodnarbnitram/claude-code-extensions (16 stars, last pushed 4mo ago), licensed MIT. It adds 52 tokens to every session and 3,560 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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