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 skills add G1Joshi/Agent-Skills --skill argocdgit clone --depth 1 https://github.com/G1Joshi/Agent-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/g1joshi/agent-skills/argocd)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/argocd"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/argocd/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/g1joshi/agent-skills/argocd"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/argocd.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00044 | $0.01281 |
| Opus 5.5 | $0.00018 | $0.00512 |
| Sonnet 5.5 | $0.00009 | $0.00256 |
| Haiku 4.5 | $0.00004 | $0.00128 |
Grade A, and why
argocd 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 22d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ArgoCD
Argo CD is a declarative GitOps continuous delivery tool for Kubernetes, continuously reconciling active cluster state against Git repositories using ApplicationSets.
When to Use
- GitOps Continuous Delivery for Kubernetes: Declarative synchronization of Kubernetes manifests from Git to live clusters.
- Multi-Cluster Deployment Management: Centrally deploying and managing workloads across dozens of Kubernetes clusters.
- Automated Drift Detection & Self-Healing: Automatically detecting manual cluster mutations and reconciling desired state.
- Progressive Delivery with Argo Rollouts: Coordinating Canary and Blue-Green deployments with automated rollbacks.
Quick Start
# Application.yaml
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: guestbook
namespace: argocd
spec:
project: default
source:
repoURL: https://github.com/argoproj/argocd-example-apps.git
targetRevision: HEAD
path: guestbook
destination:
server: https://kubernetes.default.svc
namespace: guestbook
Core Concepts
Declarative Application CRD
Defining GitOps synchronization between a Git repository and cluster namespace:
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: payment-service-prod
namespace: argocd
finalizers:
- resources-finalizer.argocd.argoproj.io
spec:
project: default
source:
repoURL: https://github.com/org/payment-manifests.git
targetRevision: main
path: environments/production
helm:
valueFiles:
- values.yaml
- values-prod.yaml
destination:
server: https://kubernetes.default.svc
namespace: payments
syncPolicy:
automated:
prune: true # Delete removed resources
selfHeal: true # Revert out-of-band cluster edits
syncOptions:
- CreateNamespace=true
- ApplyOutOfSyncOnly=true
retry:
limit: 5
backoff:
duration: 5s
factor: 2
maxDuration: 3m
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.
- 22d ago Changed · +5 lines 5ee28de89a49
- 26d ago Changed · +107 lines · +22 tokens per session 836db371e208
- 1mo ago First seen · 65 lines · 22 tokens per session scan A 47688d6d15ef
argocd is a skill published in the GitHub repository G1Joshi/Agent-Skills (15 stars, last pushed 23d ago), licensed MIT. It adds 44 tokens to every session and 1,281 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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