Instructions for deploying Vector on Kubernetes with Helm. Vector can run as an agent on every node or as a central aggregator to collect, transform, buffer, and forward logs and metrics.

Use it to install Vector agents or aggregators, configure sources and transforms, connect sinks, set replicas, and choose persistent or stateless centralized processing.

It removes the need to design the Helm values and role-specific setup from scratch. It explains which Vector workload type fits node collection or centralized processing.

vector-helm — Skill for Claude Code and Codex by Aidas-dev

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 Aidas-dev/k8s-agent-skills --skill vector-helm

Clone the repo

git clone --depth 1 https://github.com/Aidas-dev/k8s-agent-skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/vector-helm/github.svg)](https://agentmods.dev/skills/aidas-dev/k8s-agent-skills/vector-helm)

Your own site

<a href="https://agentmods.dev/skills/aidas-dev/k8s-agent-skills/vector-helm"><img src="https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/vector-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aidas-dev/k8s-agent-skills/vector-helm"><img src="https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/vector-helm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,704 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.01704
Opus 5	$0.00016	$0.00852
Sonnet 5	$0.00007	$0.00341
Haiku 4.5	$0.00003	$0.00170

Measured 8d ago against content hash 41e87c417957, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

vector-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 8d 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.

skills/vector-helm/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vector — Helm Chart

Repo: https://helm.vector.dev
OCI: oci://ghcr.io/vectordotdev/helm-charts/vector
Latest chart: v0.56.0 (app v0.56.0-distroless-libc)
K8s min: >=1.28.0-0

Quick Install

helm repo add vector https://helm.vector.dev
helm repo update

# Agent (DaemonSet — collect logs from all nodes)
helm install vector-agent vector/vector \
  --namespace vector --create-namespace \
  --set role=Agent \
  --set customConfig.sources.kubernetes_logs.type=kubernetes_logs \
  --set customConfig.sinks.stdout.type=console \
  --set 'customConfig.sinks.stdout.inputs[0]=kubernetes_logs' \
  --set customConfig.sinks.stdout.encoding.codec=json

Roles

Role	Workload	Use Case
`Agent`	DaemonSet	Collect logs/metrics from every node
`Aggregator`	StatefulSet	Centralized processing with persistent buffer
`Stateless-Aggregator`	Deployment	Centralized processing without persistence

# Aggregator (StatefulSet — centralized processing)
helm install vector-aggregator vector/vector \
  --namespace vector \
  --set role=Aggregator \
  --set replicas=3 \
  --set customConfig.sources.vector.type=vector \
  --set customConfig.sources.vector.address=0.0.0.0:6000 \
  --set customConfig.sinks.stdout.type=console \
  --set 'customConfig.sinks.stdout.inputs[0]=vector' \
  --set customConfig.sinks.stdout.encoding.codec=json

Configuration

Pipeline via customConfig

customConfig:
  data_dir: /vector-data-dir
  api:
    enabled: true
    address: 127.0.0.1:8686
  sources:
    kubernetes_logs:
      type: kubernetes_logs
      extra_label_selector: "app!=vector"
    internal_metrics:
      type: internal_metrics
    vector:
      address: 0.0.0.0:6000
      type: vector
      version: "2"

  transforms:
    remap:
      type: remap
      inputs: [kubernetes_logs]
      source: |
        .@timestamp = del(.timestamp)
        .service = .kubernetes.container_name

  sinks:
    console:
      type: console
      inputs: [remap]
      encoding:
        codec: json
    prometheus:
      type: prometheus_exporter
      inputs: [internal_metrics]
      address: 0.0.0.0:9090

Read the full file on GitHub · 192 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.

8d ago First seen · 192 lines · 33 tokens per session scan A 41e87c417957

Subscribe to this mod's changes

vector-helm is a skill published in the GitHub repository Aidas-dev/k8s-agent-skills (2 stars, last pushed 29d ago), licensed MIT. It adds 33 tokens to every session and 1,704 once invoked, about $0.0002 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.

Analytics and metrics Cloud Containers DevOps and cloud

azd-deployment

Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.

sickn33/agentic-awesome-skills · 29 tokens

openshell-cli

Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, policy iteration, settings, service exposure, BYOC workflows, and attached-provider inference. Covers basic through advanced multi-step workflows. Trigger keywords - openshell…

NVIDIA/OpenShell · 128 tokens

langbot-deploy

Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot…

langbot-app/LangBot · 104 tokens

compute-env-setup

Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its…

UnicomAI/wanwu · 134 tokens

azure-cloud-migrate

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud…

microsoft/skills · 106 tokens

atmos-helmfile

Helmfile orchestration: sync/apply/destroy/diff, Kubernetes deployments, varfile generation, EKS integration, source management.

cloudposse/atmos · 33 tokens