# Run Managed Hugging Face Jobs

Large machine learning workloads need costly hardware and reliable persistence. This skill prepares Hugging Face Jobs with suitable compute, secrets, schedules, and Hub storage.

## Install

```bash
npx skillstore add sickn33/hugging-face-jobs
```

## Metadata

- Status: approved
- Slug: sickn33-hugging-face-jobs
- Skillstore revision: r2
- Version status: missing
- Tree hash: cf7d49ef3a70ed90cad79f57aa4ebe7673ac3c136a48fa1aa17610165b4004b1
- Author: sickn33
- GitHub username: sickn33
- License: Complete terms in LICENSE.txt
- Repository: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/hugging-face-jobs
- Ref: 88a8e9a07f4c54ab105c1c41b6267c287146b07b
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: confirmation\_required
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: network, filesystem, env\_access, external\_commands, scripts
- Quality score: 38
- Quality tier: warning
- Public page: https://skillstore.pages.dev/skills/sickn33-hugging-face-jobs
- Manifest: https://skillstore.pages.dev/api/skills/sickn33-hugging-face-jobs/manifest

## Capabilities

- Prepares inline UV or Docker job submissions for CPU, GPU, and TPU workloads.
- Selects documented hardware flavors and timeouts for different workload sizes.
- Passes Hugging Face authentication through job secrets for Hub operations.
- Lists jobs, inspects status, retrieves logs, and cancels active workloads.
- Creates scheduled jobs and explains webhook-triggered workflows.
- Provides scripts for batch generation, synthetic data, and streaming dataset statistics.

## Use Cases

- Process Large Datasets: Prepare a managed CPU job that transforms data and persists results to a selected Hub repository.
- Run Batch Model Inference: Configure a GPU job that generates responses for a Hub dataset and publishes the completed dataset.
- Automate Recurring Workloads: Create reviewed schedules for periodic processing, monitoring, and Hub updates.

## Prompt Templates

### Prepare a CPU Test

```
Prepare a Hugging Face Job for [task] on cpu-basic. Estimate runtime and cost, then wait for my approval before submission.
```

### Configure Batch Inference

```
Prepare batch inference for dataset [dataset] with model [model]. Recommend hardware, timeout, output repository, and a secure token configuration.
```

### Design a Scheduled Pipeline

```
Design a scheduled job for [task] using schedule [schedule]. Show expected cost, persistence, failure handling, and approval details before creation.
```

### Plan a Reproducible Multi-GPU Run

```
Plan a multi-GPU job for [workload]. Pin scripts and images, set least-privilege secrets, add checkpoints, and define monitoring and cancellation criteria.
```

## Limitations

- Hugging Face Jobs requires an eligible paid account and valid authentication.
- Remote workloads can incur charges and depend on external hardware availability.
- Bundled scripts expect specific models, datasets, dependencies, and output schemas.
- The skill cannot guarantee runtime, final cost, model quality, or service availability.

## Best Practices

- Pin remote scripts, dependencies, models, and container images to immutable versions.
- Confirm hardware, timeout, schedule, destination, and estimated cost before submission.
- Use least-privilege secrets and persist required outputs before the job ends.

## Anti Patterns

- Do not place access tokens in scripts, environment examples, shell substitutions, or command arguments.
- Do not execute scripts or images from mutable branches and tags.
- Do not submit paid or recurring jobs before the user approves the final configuration.

## Security Audit

- Audited at: 2026-07-24T00:31:59.192\+00:00
- Summary: Most static findings are detector noise from Markdown, documentation URLs, safe environment access, and ordinary API examples. Confirmed risks involve exposed tokens and mutable remote code; semantic review also found unpinned images and missing approval gates for paid jobs.

## Stats

- Views: 102
- Downloads: 9
- Favorites: 0
- Popularity score: 0