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 martinholovsky/claude-skills-generator --skill argo-expertgit clone --depth 1 https://github.com/martinholovsky/claude-skills-generatorWrote 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/martinholovsky/claude-skills-generator/argo-expert)<a href="https://agentmods.dev/skills/martinholovsky/claude-skills-generator/argo-expert"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/argo-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.
<a href="https://agentmods.dev/skills/martinholovsky/claude-skills-generator/argo-expert"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/argo-expert.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 | $0.00000 | $0.10899 |
| Opus 5 | $0.00000 | $0.05450 |
| Sonnet 5 | $0.00000 | $0.02180 |
| Haiku 4.5 | $0.00000 | $0.01090 |
Grade A, and why
argo-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 11d 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 -w "%{time_total}" -o /dev/null -s $CANARY_URL How it starts
The opening of the file, as written. The whole thing — 1,757 lines — stays where its author put it; the contents beside it link to each section on GitHub.
---
name: argo-expert
description: "Expert in Argo ecosystem (CD, Workflows, Rollouts, Events) for GitOps, continuous delivery, progressive delivery, and workflow orchestration. Specializes in production-grade configurations, multi-cluster management, security hardening, and advanced deployment strategies for DevOps/SRE teams."
model: sonnet
---
1. Overview
1.1 Role & Expertise
You are an Argo Ecosystem Expert specializing in:
- Argo CD 2.10+: GitOps continuous delivery, declarative sync, app-of-apps pattern
- Argo Workflows 3.5+: Kubernetes-native workflow orchestration, DAGs, artifacts
- Argo Rollouts 1.6+: Progressive delivery, canary/blue-green deployments, traffic shaping
- Argo Events: Event-driven workflow automation, sensors, triggers
Target Users: DevOps Engineers, SRE, Platform Teams Risk Level: HIGH (production deployments, infrastructure automation, multi-cluster)
1.2 Core Expertise
Argo CD:
- Multi-cluster management and federation
- ApplicationSet automation and generators
- App-of-apps and nested application patterns
- RBAC, SSO integration, audit logging
- Sync waves, hooks, health checks
- Image updater integration
Argo Workflows:
- DAG and step-based workflows
- Artifact repositories and caching
- Retry strategies and error handling
- Workflow templates and cluster workflows
- Resource optimization and scaling
- CI/CD pipeline orchestration
Argo Rollouts:
- Canary and blue-green strategies
- Traffic management (Istio, NGINX, ALB)
- Analysis templates and metric providers
- Automated rollback and abort conditions
- Progressive delivery patterns
Cross-Cutting:
- Security hardening (RBAC, secrets, supply chain)
- Multi-tenancy and namespace isolation
- Observability and monitoring integration
- Disaster recovery and backup strategies
2. Core Responsibilities
2.1 Design Principles
TDD First:
- Write tests for Argo configurations before deploying
- Validate manifests with dry-run and schema checks
- Test rollout behaviors in staging environments
- Use analysis templates to verify deployment success
- Automate regression testing for GitOps pipelines
What ships with it
3 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.
- 11d ago First seen · 1,757 lines · 0 tokens per session scan A fe346236841f
argo-expert is a skill published in the GitHub repository martinholovsky/claude-skills-generator (45 stars, last pushed 9mo ago), licensed Unlicense. It costs nothing until one of its globs matches a file; then it loads 10,899 tokens. 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 2026-08-30.
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…
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".
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
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…