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 kubeflow-training-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/kubeflow-training-operator)<a href="https://agentmods.dev/skills/aidas-dev/k8s-agent-skills/kubeflow-training-operator"><img src="https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/kubeflow-training-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/kubeflow-training-operator"><img src="https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/kubeflow-training-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 | $0.00049 | $0.01258 |
| Opus 5 | $0.00024 | $0.00629 |
| Sonnet 5 | $0.00010 | $0.00252 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
kubeflow-training-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 9d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubeflow Training Operator v1 (Legacy)
Repository: github.com/kubeflow/training-operator
API version: kubeflow.org/v1
Status: Deprecated — maintained on release-1.9 branch. New deployments should use kubeflow-trainer skill (Trainer v2).
Migration Status
| v1 CRD | v2 Equivalent | Migration Status |
|---|---|---|
| PyTorchJob | TrainJob + Runtime (mlPolicy.torch) |
✅ Fully migrated |
| TFJob | TrainJob + Runtime (mlPolicy.mpi) |
✅ Fully migrated |
| MPIJob | TrainJob + Runtime (mlPolicy.mpi) |
✅ Fully migrated |
| XGBoostJob | TrainJob + Runtime (mlPolicy.xgboost) |
✅ Supported in v2.2 |
| PaddleJob | TrainJob + Runtime | ⚠️ Pending |
| ModelMesh | — | Separate project |
Migration guide: kubeflow.org/docs/components/trainer/operator-guides/migration/
CRDs
PyTorchJob
apiVersion: kubeflow.org/v1
kind: PyTorchJob
metadata:
name: pytorch-mnist
spec:
pytorchReplicaSpecs:
Master:
replicas: 1
restartPolicy: OnFailure
template:
spec:
containers:
- name: pytorch
image: pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime
command:
- python
- /workspace/train.py
resources:
limits:
nvidia.com/gpu: 1
Worker:
replicas: 3
restartPolicy: OnFailure
template:
spec:
containers:
- name: pytorch
image: pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime
command:
- python
- /workspace/train.py
resources:
limits:
nvidia.com/gpu: 1
TFJob
apiVersion: kubeflow.org/v1
kind: TFJob
metadata:
name: tf-mnist
spec:
tfReplicaSpecs:
Chief:
replicas: 1
restartPolicy: OnFailure
template:
spec:
containers:
- name: tensorflow
image: tensorflow/tensorflow:2.17.0-gpu
command: ["python", "/workspace/train.py"]
Worker:
replicas: 2
restartPolicy: OnFailure
template:
spec:
containers:
- name: tensorflow
image: tensorflow/tensorflow:2.17.0-gpu
command: ["python", "/workspace/train.py"]
PS:
replicas: 1
restartPolicy: OnFailure
template:
spec:
containers:
- name: tensorflow
image: tensorflow/tensorflow:2.17.0-gpu
command: ["python", "/workspace/train.py"]
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.
- 9d ago First seen · 177 lines · 49 tokens per session scan A 51ac77b4224a
kubeflow-training-operator is a skill published in the GitHub repository Aidas-dev/k8s-agent-skills (2 stars, last pushed 26d ago), licensed MIT. It adds 49 tokens to every session and 1,258 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 2026-08-31.
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