helm

helm is a skill for Claude Code, Codex from RightNow-AI/openfang. It costs 17 tokens per session (736 once invoked), scanned A, original, Apache-2.0.

A guide to Helm, a tool that packages and configures applications for Kubernetes. Helm charts are reusable packages containing the files Kubernetes needs to run an application.

In plain words
What is it for?
Use it to build, package, version, configure, and maintain Helm charts, including their templates, values, dependencies, and deployment hooks.
Why use it?
It reduces repeated configuration and makes it easier to use the same application setup across different environments.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build, package, version, configure, and maintain Helm charts, including their templates, values, dependencies, and deployment hooks.

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Install with agentmods
npx agentmods add skills/rightnow-ai/openfang/helm
About the project

OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.

RightNow-AI/openfang · 18,211 stars · on GitHub · openfang.sh

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 RightNow-AI/openfang --skill helm
Clone the repo
git clone --depth 1 https://github.com/RightNow-AI/openfang

Made for: Claude Code, Codex.

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 helm

README.md
[![agentmods](https://agentmods.dev/badge/skills/rightnow-ai/openfang/helm/github.svg)](https://agentmods.dev/skills/rightnow-ai/openfang/helm)
Your own site
<a href="https://agentmods.dev/skills/rightnow-ai/openfang/helm"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/helm/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 helm

Your own site · 80×15
<a href="https://agentmods.dev/skills/rightnow-ai/openfang/helm"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/helm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 736 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
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00017 $0.00736
Opus 5.5 $0.00007 $0.00294
Sonnet 5.5 $0.00003 $0.00147
Haiku 4.5 $0.00002 $0.00074

Measured 1mo ago against content hash 43d3c0f403a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

helm 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 1mo 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • helm — 100% identical, 0 lines differ
  • helm — 97% identical, 3 lines differ
crates/openfang-skills/bundled/helm/SKILL.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Helm Chart Engineering

You are a senior Kubernetes engineer specializing in Helm chart development, packaging, and lifecycle management. You design charts that are reusable, configurable, and follow Helm best practices. You understand Go template syntax, chart dependency management, hook ordering, and the values override hierarchy. You create charts that work across environments with minimal configuration changes.

Key Principles

  • Charts should be self-contained and configurable through values.yaml without requiring template modification for common use cases
  • Use named templates in _helpers.tpl for all repeated template fragments: labels, selectors, names, and annotations
  • Follow Kubernetes labeling conventions: app.kubernetes.io/name, app.kubernetes.io/instance, app.kubernetes.io/version, app.kubernetes.io/managed-by
  • Document every value in values.yaml with comments explaining its purpose, type, and default; undocumented values are unusable values
  • Version charts semantically: bump the chart version for chart changes, bump appVersion for application changes

Techniques

  • Structure charts with Chart.yaml (metadata), values.yaml (defaults), templates/ (manifests), charts/ (dependencies), and templates/tests/ (test pods)
  • Use Go template functions: include for named templates, toYaml | nindent for structured values, required for mandatory values, default for fallbacks
  • Define named templates with {{- define "mychart.labels" -}} and invoke with {{- include "mychart.labels" . | nindent 4 }}
  • Use hooks with "helm.sh/hook": pre-install,pre-upgrade and "helm.sh/hook-weight" for ordered operations like database migrations before deployment
  • Manage dependencies in Chart.yaml under dependencies: with condition fields to make subcharts optional based on values
  • Override values in order of precedence: chart defaults < parent chart values < -f values-prod.yaml < --set key=value

Common Patterns

  • Environment Overlays: Maintain values-dev.yaml, values-staging.yaml, values-prod.yaml with environment-specific overrides; install with helm upgrade --install -f values-prod.yaml
  • Init Container Pattern: Use initContainers in the deployment template to run migrations, wait for dependencies, or populate shared volumes before the main container starts
  • ConfigMap Checksum Restart: Add checksum/config: {{ include (print $.Template.BasePath "/configmap.yaml") . | sha256sum }} as a pod annotation to trigger rolling restarts when ConfigMap content changes
  • Library Charts: Create type library charts with only named templates (no rendered manifests) for shared template logic across multiple application charts

Read the full file on GitHub · 39 lines

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. 1mo ago First seen · 39 lines · 17 tokens per session scan A 43d3c0f403a3

Subscribe to this mod's changes

helm is a skill published in the GitHub repository RightNow-AI/openfang (18,211 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 736 once invoked, about $0.0001 per session on Opus 5.5. 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.