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 Aidas-dev/k8s-agent-skills --skill vector-operatorgit clone --depth 1 https://github.com/Aidas-dev/k8s-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/aidas-dev/k8s-agent-skills/vector-operator)<a href="https://agentmods.dev/skills/aidas-dev/k8s-agent-skills/vector-operator"><img src="https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/vector-operator/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.
<a href="https://agentmods.dev/skills/aidas-dev/k8s-agent-skills/vector-operator"><img src="https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/vector-operator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00040 | $0.03245 |
| Opus 5 | $0.00020 | $0.01622 |
| Sonnet 5 | $0.00008 | $0.00649 |
| Haiku 4.5 | $0.00004 | $0.00325 |
Grade A, and why
vector-operator 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.
How it starts
The opening of the file, as written. The whole thing — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vector Operator (kaasops)
Repository: github.com/kaasops/vector-operator
Latest release: v0.4.1 (Jan 12, 2026)
API version: observability.kaasops.io/v1alpha1
Stars: 174 | License: Apache-2.0
CRDs (5)
| CRD | Scope | Deploys |
|---|---|---|
| Vector | Namespace | DaemonSet + Secret + Service + RBAC |
| VectorPipeline | Namespace | Config fragment (auto-routed by source type) |
| ClusterVectorPipeline | Cluster | Cluster-scoped pipeline config |
| VectorAggregator | Namespace | Deployment + Secret + Service + RBAC |
| ClusterVectorAggregator | Cluster | Cluster-scoped aggregator |
Architecture
VectorPipeline (namespaced sources)
│
▼ (auto-routed)
Vector (DaemonSet — agent) ──► VectorAggregator (Deployment — aggregator)
│
▼
Sinks (console, elasticsearch, kafka, etc.)
Pipelines with kubernetes_logs or file-based sources → auto-routed to agent (DaemonSet).
Pipelines with network sources (vector, kafka, socket, http_server) → auto-routed to aggregator (Deployment).
Installation
Helm
helm repo add kaasops https://kaasops.github.io/vector-operator/
helm install vector-operator kaasops/vector-operator \
--namespace vector-system --create-namespace \
--version 0.4.1
CRD Management
createCRD: true (default) — operator manages CRD lifecycle. Warning: removing chart deletes CRDs.
- --createCRD=false # Manage CRDs externally
Vector CR
Agent (DaemonSet)
apiVersion: observability.kaasops.io/v1alpha1
kind: Vector
metadata:
name: vector-agent
namespace: vector
spec:
agent:
image: timberio/vector:0.56.0-distroless-libc
dataDir: /vector-data-dir
expireMetricsSecs: 300
api:
enabled: true
address: "[::]:8686"
healthcheck: true
internalMetrics: true
service: false
resources:
requests:
cpu: 100m
memory: 256Mi
limits:
cpu: 500m
memory: 512Mi
tolerations:
- effect: NoSchedule
key: node-role.kubernetes.io/master
env:
- name: ENVIRONMENT
value: production
annotations:
prometheus.io/scrape: "true"
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 · 461 lines · 40 tokens per session scan A a41660ea44cd
vector-operator is a skill published in the GitHub repository Aidas-dev/k8s-agent-skills (2 stars, last pushed 29d ago), licensed MIT. It adds 40 tokens to every session and 3,245 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.
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