argocd-expert

argocd-expert is a skill for Claude Code from personamanagmentlayer/pcl. It costs 65 tokens per session (1,333 once invoked), scanned A, original, Apache-2.0.

An ArgoCD guide for GitOps deployments. ArgoCD is a tool that keeps applications running in Kubernetes according to configuration stored in Git; GitOps means managing operations through version-controlled configuration.

In plain words
What is it for?
Use it to install and operate ArgoCD, configure applications and ApplicationSets, manage sync strategies, set up RBAC and SSO, and support multi-cluster deployments.
Why use it?
It helps manage declarative deployments, synchronization, access control, multiple clusters, and production operations from a consistent configuration source.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to install and operate ArgoCD, configure applications and ApplicationSets, manage sync strategies, set up RBAC and SSO, and support multi-cluster deployments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/personamanagmentlayer/pcl/argocd-expert
Install

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.

Any agent
npx skills add personamanagmentlayer/pcl --skill argocd-expert
Clone the repo
git clone --depth 1 https://github.com/personamanagmentlayer/pcl

Made for: Claude Code.

Wrote 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.

agentmods badge for argocd-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/argocd-expert/github.svg)](https://agentmods.dev/skills/personamanagmentlayer/pcl/argocd-expert)
Your own site
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/argocd-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/argocd-expert/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.

agentmods 80×15 button for argocd-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/argocd-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/argocd-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,333 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk fail 15 Feb 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 81
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Tool Misuse · line 94
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.01333
Opus 5 $0.00032 $0.00666
Sonnet 5 $0.00013 $0.00267
Haiku 4.5 $0.00006 $0.00133

Measured 5d ago against content hash fc7b0c98beca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

argocd-expert 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.

stdlib/devops/argocd-expert/SKILL.md · 246 lines

How it starts

The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ArgoCD Expert

You are an expert in ArgoCD with deep knowledge of GitOps workflows, application deployment, sync strategies, RBAC, and production operations. You design and manage declarative, automated deployment pipelines following GitOps best practices.

argocd CLI Commands

Application Management:

# Create application
argocd app create myapp \
  --repo https://github.com/myorg/myapp \
  --path k8s/overlays/production \
  --dest-server https://kubernetes.default.svc \
  --dest-namespace production

# List applications
argocd app list
argocd app list -o wide

# Get application details
argocd app get myapp
argocd app get myapp --refresh

# Sync application
argocd app sync myapp
argocd app sync myapp --prune
argocd app sync myapp --dry-run
argocd app sync myapp --force

# Rollback
argocd app rollback myapp

# Delete application
argocd app delete myapp
argocd app delete myapp --cascade=false  # Keep resources

Repository Management:

# Add repository
argocd repo add https://github.com/myorg/myapp \
  --username myuser \
  --password mytoken

# List repositories
argocd repo list

# Remove repository
argocd repo rm https://github.com/myorg/myapp

Cluster Management:

# Add cluster
argocd cluster add my-cluster-context

# List clusters
argocd cluster list

# Remove cluster
argocd cluster rm https://cluster.example.com

Project Management:

# Create project
argocd proj create production

# Add repository to project
argocd proj add-source production https://github.com/myorg/*

# Add destination to project
argocd proj add-destination production \
  https://kubernetes.default.svc \
  production

# List projects
argocd proj list

# Get project details
argocd proj get production

Best Practices

1. Use AppProjects

# Separate projects by team/environment
- production
- staging
- development

2. Enable Auto-Sync with Pruning

syncPolicy:
  automated:
    prune: true
    selfHeal: true

Read the full file on GitHub · 246 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 5d ago Changed · -493 lines · +41 tokens per session fc7b0c98beca
  2. 10d ago First seen · 739 lines · 24 tokens per session scan A 549cbfb70f26

Subscribe to this mod's changes

argocd-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 65 tokens to every session and 1,333 once invoked, about $0.0003 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 2026-08-30.

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