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/engineerwithai/engineerwith-agents/helm-chart-scaffoldingnpx skills add EngineerWithAI/engineerwith-agents --skill helm-chart-scaffoldinggit clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWrote 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/engineerwithai/engineerwith-agents/helm-chart-scaffolding)<a href="https://agentmods.dev/skills/engineerwithai/engineerwith-agents/helm-chart-scaffolding"><img src="https://agentmods.dev/badge/skills/engineerwithai/engineerwith-agents/helm-chart-scaffolding.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 | $0.00041 | $0.02968 |
| Opus 5 | $0.00020 | $0.01484 |
| Sonnet 5 | $0.00008 | $0.00594 |
| Haiku 4.5 | $0.00004 | $0.00297 |
Grade A, and why
helm-chart-scaffolding 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 2d 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.
- name: wget This is a copy
100% identical to helm-chart-scaffolding — 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 — 545 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Helm Chart Scaffolding
Comprehensive guidance for creating, organizing, and managing Helm charts for packaging and deploying Kubernetes applications.
Purpose
This skill provides step-by-step instructions for building production-ready Helm charts, including chart structure, templating patterns, values management, and validation strategies.
When to Use This Skill
Use this skill when you need to:
- Create new Helm charts from scratch
- Package Kubernetes applications for distribution
- Manage multi-environment deployments with Helm
- Implement templating for reusable Kubernetes manifests
- Set up Helm chart repositories
- Follow Helm best practices and conventions
Helm Overview
Helm is the package manager for Kubernetes that:
- Templates Kubernetes manifests for reusability
- Manages application releases and rollbacks
- Handles dependencies between charts
- Provides version control for deployments
- Simplifies configuration management across environments
Step-by-Step Workflow
1. Initialize Chart Structure
Create new chart:
helm create my-app
Standard chart structure:
my-app/
├── Chart.yaml # Chart metadata
├── values.yaml # Default configuration values
├── charts/ # Chart dependencies
├── templates/ # Kubernetes manifest templates
│ ├── NOTES.txt # Post-install notes
│ ├── _helpers.tpl # Template helpers
│ ├── deployment.yaml
│ ├── service.yaml
│ ├── ingress.yaml
│ ├── serviceaccount.yaml
│ ├── hpa.yaml
│ └── tests/
│ └── test-connection.yaml
└── .helmignore # Files to ignore
2. Configure Chart.yaml
Chart metadata defines the package:
apiVersion: v2
name: my-app
description: A Helm chart for My Application
type: application
version: 1.0.0 # Chart version
appVersion: "2.1.0" # Application version
# Keywords for chart discovery
keywords:
- web
- api
- backend
# Maintainer information
maintainers:
- name: DevOps Team
email: [email protected]
url: https://github.com/example/my-app
# Source code repository
sources:
- https://github.com/example/my-app
# Homepage
home: https://example.com
# Chart icon
icon: https://example.com/icon.png
# Dependencies
dependencies:
- name: postgresql
version: "12.0.0"
repository: "https://charts.bitnami.com/bitnami"
condition: postgresql.enabled
- name: redis
version: "17.0.0"
repository: "https://charts.bitnami.com/bitnami"
condition: redis.enabled
What ships with it
4 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.
- 2d ago First seen · 545 lines · 41 tokens per session scan A 08d6e5114d24
helm-chart-scaffolding is a skill published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 2,968 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to helm-chart-scaffolding, differing in 0 lines, and is treated as a copy.
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