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 nomadgit 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/nomad)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/nomad"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/nomad.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 | $0.00017 | $0.00473 |
| Opus 5 | $0.00009 | $0.00236 |
| Sonnet 5 | $0.00003 | $0.00095 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
nomad 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 4d 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.
What it actually says
Nomad
HashiCorp Nomad is a flexible scheduler that orchestrates just about anything: containers, binaries, or VMs. Nomad 1.8+ (2025) focuses on Workload Identity (JWT) for secure, secret-less authentication.
When to Use
- Simplicity: You don't need the complexity of Kubernetes (etcd, controllers, CRDs).
- Non-Container Workloads: You need to orchestrate raw
java -jarornginxbinaries directly on Linux/Windows. - Edge: Single binary, low resource usage.
Quick Start
job "example" {
datacenters = ["dc1"]
group "cache" {
task "redis" {
driver = "docker"
config {
image = "redis:7"
}
resources {
cpu = 500 # 500 MHz
memory = 256 # 256 MB
}
}
}
}
Core Concepts
Jobs
The unit of work. Defined in HCL (HashiCorp Configuration Language).
Drivers
Nomad uses drivers to run tasks: docker, exec (raw binaries), java, qemu (VMs).
Workload Identity
Nomad issues a JWT to running tasks. Tasks generally trade this JWT with Vault to get database passwords or AWS keys, removing the need to hardcode secrets.
Best Practices (2025)
Do:
- Use Workload Identity: Integrate with Vault and Consul securely.
- Use Consul Connect: For service mesh features (mTLS, observability) between tasks.
- Keep it Simple: Don't try to reimplement K8s on top of Nomad. Embrace the simplicity.
Don't:
- Don't ignore state: Nomad handles stateful workloads, but K8s has a richer ecosystem of Operators for complex databases. Stick to stateless or simple stateful (Redis) on Nomad if possible.
References
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.
- 4d ago First seen · 68 lines · 17 tokens per session scan A 2334e8f6c310
nomad is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 473 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
k8s-manifests
When writing K8s YAML, designing Helm charts, setting resource limits, configuring probes, or reviewing pod security.
service-mesh
Implement service mesh for mTLS, traffic management, and observability — Istio and Linkerd patterns for Kubernetes.
cloud-run-basics
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
shipping-and-launch
Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
apify-actorization
Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.
infrastructure
A guide for cloud-native infrastructure: software and configuration used to run applications in containers and manage cloud resources. It covers Kubernetes, Helm, Kustomize, GitOps tools such as ArgoCD and Flux, and infrastructure-as-code tools such as Terraform and Pulumi.