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/harness/harness-ai/create-servicenpx skills add harness/harness-ai --skill create-servicegit clone --depth 1 https://github.com/harness/harness-aiWrote 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/harness/harness-ai/create-service)<a href="https://agentmods.dev/skills/harness/harness-ai/create-service"><img src="https://agentmods.dev/badge/skills/harness/harness-ai/create-service.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 | $0.00110 | $0.01994 |
| Opus 5 | $0.00055 | $0.00997 |
| Sonnet 5 | $0.00022 | $0.00399 |
| Haiku 4.5 | $0.00011 | $0.00199 |
Grade A, and why
create-service 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 6d 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.
This is a copy
100% identical to create-service — 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Service
Generate Harness Service YAML and push to Harness via MCP.
Instructions
- Detect service type from codebase (if source code is available) - Scan the project for deployment manifests to auto-select the correct
serviceDefinition.typeand manifest configuration:k8s/,kubernetes/,manifests/with YAML files →KuberneteswithK8sManifestkustomization.yaml→KuberneteswithKustomizeChart.yaml,charts/,helm/→NativeHelmwithHelmCharttask-definition.json→ECSwithEcsTaskDefinitionserverless.yml/template.yaml(SAM) →ServerlessAwsLambdafunction.json(Azure) →AzureWebApp.NET+ Windows →WinRm- Traditional app (JAR/WAR) without containers →
Ssh - See
create-pipeline/references/codebase-analysis.mdStep 4 for the full decision tree
- Detect artifact source - Match Dockerfile registry references to artifact source type:
- Docker Hub →
DockerRegistry *.dkr.ecr.*.amazonaws.com→Ecrgcr.io/*-docker.pkg.dev→Gcr*.azurecr.io→Acr
- Docker Hub →
- Confirm with user - Present detected service type, manifest type, and artifact source for confirmation
- Generate YAML following the structure below
- Create via MCP using
harness_createwith resource_typeservice
Service Structure
service:
name: My Service
identifier: my_service
orgIdentifier: default
projectIdentifier: my_project
serviceDefinition:
type: Kubernetes # Kubernetes, NativeHelm, ECS, ServerlessAwsLambda, Ssh, WinRm, AzureWebApp, AzureFunction, CustomDeployment
spec:
artifacts:
primary:
primaryArtifactRef: docker_image
sources:
- identifier: docker_image
type: DockerRegistry
spec:
connectorRef: dockerhub
imagePath: myorg/myimage
tag: <+input>
manifests:
- manifest:
identifier: k8s_manifest
type: K8sManifest
spec:
store:
type: Github
spec:
connectorRef: github_connector
repoName: my-manifests
branch: main
paths: [manifests/]
variables:
- name: replicas
type: String
value: "3"
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.
- 6d ago First seen · 283 lines · 110 tokens per session scan A 9f1dd620b614
create-service is a skill published in the GitHub repository harness/harness-ai (19 stars, last pushed 15d ago), licensed Apache-2.0. It adds 110 tokens to every session and 1,994 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to create-service, differing in 0 lines, and is treated as a copy.
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…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
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".
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…