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/engineerwithai/engineerwith-agents/gitops-workflownpx skills add EngineerWithAI/engineerwith-agents --skill gitops-workflowgit clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWrote 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/engineerwithai/engineerwith-agents/gitops-workflow)<a href="https://agentmods.dev/skills/engineerwithai/engineerwith-agents/gitops-workflow"><img src="https://agentmods.dev/badge/skills/engineerwithai/engineerwith-agents/gitops-workflow.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 | $0.00046 | $0.01581 |
| Opus 5 | $0.00023 | $0.00790 |
| Sonnet 5 | $0.00009 | $0.00316 |
| Haiku 4.5 | $0.00005 | $0.00158 |
Grade D, and why
gitops-workflow scanned grade D with 3 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 yesterday.
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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
curl -s https://fluxcd.io/install.sh | sudo bash Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s https://fluxcd.io/install.sh | sudo bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://fluxcd.io/install.sh | sudo bash This is a copy
100% identical to gitops-workflow — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitOps Workflow
Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.
Purpose
Implement declarative, Git-based continuous delivery for Kubernetes using ArgoCD or Flux CD, following OpenGitOps principles.
When to Use This Skill
- Set up GitOps for Kubernetes clusters
- Automate application deployments from Git
- Implement progressive delivery strategies
- Manage multi-cluster deployments
- Configure automated sync policies
- Set up secret management in GitOps
OpenGitOps Principles
- Declarative - Entire system described declaratively
- Versioned and Immutable - Desired state stored in Git
- Pulled Automatically - Software agents pull desired state
- Continuously Reconciled - Agents reconcile actual vs desired state
ArgoCD Setup
1. Installation
# Create namespace
kubectl create namespace argocd
# Install ArgoCD
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml
# Get admin password
kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d
Reference: See references/argocd-setup.md for detailed setup
2. Repository Structure
gitops-repo/
├── apps/
│ ├── production/
│ │ ├── app1/
│ │ │ ├── kustomization.yaml
│ │ │ └── deployment.yaml
│ │ └── app2/
│ └── staging/
├── infrastructure/
│ ├── ingress-nginx/
│ ├── cert-manager/
│ └── monitoring/
└── argocd/
├── applications/
└── projects/
3. Create Application
# argocd/applications/my-app.yaml
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: my-app
namespace: argocd
spec:
project: default
source:
repoURL: https://github.com/org/gitops-repo
targetRevision: main
path: apps/production/my-app
destination:
server: https://kubernetes.default.svc
namespace: production
syncPolicy:
automated:
prune: true
selfHeal: true
syncOptions:
- CreateNamespace=true
What ships with it
2 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.
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.
- yesterday First seen · 286 lines · 46 tokens per session scan D 163a0eb927c8
gitops-workflow is a skill published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 46 tokens to every session and 1,581 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). It is 100% identical to gitops-workflow, differing in 0 lines, and is treated as a copy.
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