LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.
Install Hugging Face Jobs
$ npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace hugging-face-jobs --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/hugging-face-jobs .claude/skills/hugging-face-jobs && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "hugging-face-jobs" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/hugging-face-jobs into .claude/skills/hugging-face-jobs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hugging-face-jobs", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/hugging-face-jobsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace hugging-face-jobs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sickn33/hugging-face-jobs .agents/skills/hugging-face-jobs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hugging-face-jobs" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/hugging-face-jobs into .agents/skills/hugging-face-jobs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hugging-face-jobs", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace hugging-face-jobs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sickn33/hugging-face-jobs .cursor/skills/hugging-face-jobs && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hugging-face-jobs" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/hugging-face-jobs into .cursor/skills/hugging-face-jobs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hugging-face-jobs", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiskillstore/marketplace.git --path skills/sickn33/hugging-face-jobs--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace hugging-face-jobs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sickn33/hugging-face-jobs .gemini/skills/hugging-face-jobs && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hugging-face-jobs" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/hugging-face-jobs into .gemini/skills/hugging-face-jobs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hugging-face-jobs", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiskillstore/marketplace hugging-face-jobsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sickn33/hugging-face-jobs .github/skills/hugging-face-jobs && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hugging-face-jobs" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/hugging-face-jobs into .github/skills/hugging-face-jobs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hugging-face-jobs", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace hugging-face-jobs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sickn33/hugging-face-jobs .opencode/skills/hugging-face-jobs && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hugging-face-jobs" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/hugging-face-jobs into .opencode/skills/hugging-face-jobs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hugging-face-jobs", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
hugging-face-jobs- GitHub stars
- 433
- Used in
- 3 other repos
- Token cost
- ~7.9k tokens
- SKILL.md length
- 2,394 words
- Files
- 10 (incl. scripts, references)
- Skills in repo
- 1,044
- Repo updated
- First seen
- Licence
- None found
At a glance
Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.
- Works in 4 steps: ALWAYS use hf_jobs() MCP tool - Submit… → Always handle authentication - Jobs that… → Provide job details after submission -… → …
- Tasks that involve Model hubs and datasets
- SKILL.md covers Overview, When to Use This Skill, Key Directives and Prerequisites Checklist, plus 7 more sections
- Runs Python scripts from its folder; calls hf; reaches huggingface.co and raw.githubusercontent.com; needs HF_TOKEN and HF_WEBHOOK_SECRET
What it does
Hugging Face Jobs is an agent skill from aiskillstore/marketplace. Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.
Its SKILL.md is about 7.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/hardware_guide.md`, `references/hub_saving.md` and `references/token_usage.md`).
It sits in AI & LLM Engineering, covering Model hubs and datasets. It works with Hugging Face. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Tasks that involve Model hubs and datasets
Example prompts
- “/hugging-face-jobs”
Requirements
- Python 3
- Docker
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- ALWAYS use hf_jobs() MCP tool - Submit jobs using hf_jobs("uv", {...}) or hf_jobs("run", {...}). The script parameter accepts Python code…
- Always handle authentication - Jobs that interact with the Hub require HF_TOKEN via secrets. See Token Usage section below.
- Provide job details after submission - After submitting, provide job ID, monitoring URL, estimated time, and note that the user can…
- Set appropriate timeouts - Default 30min may be insufficient for long-running tasks.
What it can do on your machine
Read from SKILL.md and the folder at commit 44923f3. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
hf
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
huggingface.coraw.githubusercontent.com
Also links to:
hf.codocs.astral.sh
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
HF_TOKENHF_WEBHOOK_SECRET
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Hugging Face Jobs loads about 7.9k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 28 tokens; SKILL.md has 2,394 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 2,394 words (~7,904 tokens).
“Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub.”
- name
- hugging-face-jobs
- source
- https://github.com/huggingface/skills/tree/main/skills/huggingface-jobs
- license
- Complete terms in LICENSE.txt
- risk
- unknown
Files
SKILL.md and 9 other files (scripts, references) in skills/sickn33/hugging-face-jobs of aiskillstore/marketplace.
- SKILL.md
- index.html
- references/hardware_guide.md
- references/hub_saving.md
- references/token_usage.md
- references/troubleshooting.md
- scripts/cot-self-instruct.py
- scripts/finepdfs-stats.py
- scripts/generate-responses.py
- skill-report.json
Open the folder on GitHubat commit 44923f3
Used in 3 other repositories
We found 12 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
- sickn33/agentic-awesome-skillsskills/hugging-face-jobsplugins/agentic-awesome-skills/skills/hugging-face-jobs+1 more
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/hugging-face-jobsantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/hugging-face-jobs+1 more
- henryalouf/ruflow.agents/skills/hugging-face-jobs.agents/skills/antigravity-awesome-skills/skills/hugging-face-jobs+4 more
Compare with similar skills
Hugging Face Jobs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hugging Face Jobs this skillaiskillstore/marketplace | 433 | 3 repos | ~7.9k | Automated safety check: Pass | None | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Upload Post Imagehuggingface/blog | 3.5k | — | ~1.1k | Automated safety check: Pass | None | |
| Esmfold2JimLiu/science-skills | 228 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 |
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Questions about Hugging Face Jobs
What does Hugging Face Jobs do?
Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence. Hugging Face Jobs is an agent skill from aiskillstore/marketplace. Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.
When should I use Hugging Face Jobs?
Hugging Face Jobs fits situations like: tasks that involve Model hubs and datasets.
How do I install Hugging Face Jobs in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a claude-code`. Or copy the skill folder (skills/sickn33/hugging-face-jobs in aiskillstore/marketplace) into .claude/skills/hugging-face-jobs in your project. Claude Code loads it when a task matches its description.
How do I install Hugging Face Jobs in Codex?
Run `npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a codex`. Or copy the skill folder (skills/sickn33/hugging-face-jobs in aiskillstore/marketplace) into .agents/skills/hugging-face-jobs in your project. Codex loads it when a task matches its description.
Can I use Hugging Face Jobs in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill hugging-face-jobs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hugging-face-jobs, .gemini/skills/hugging-face-jobs, .github/skills/hugging-face-jobs and .opencode/skills/hugging-face-jobs in your project.
What does Hugging Face Jobs need to run?
Going by SKILL.md and its folder, Hugging Face Jobs needs Python for the scripts in its folder, the command-line tools its instructions call (hf) and credentials named HF_TOKEN and HF_WEBHOOK_SECRET. Our summary lists: Python 3; Docker.
Does Hugging Face Jobs access the network?
SKILL.md names 4 domains. In commands or code: huggingface.co and raw.githubusercontent.com; the agent is likely to contact these when it follows the instructions. As links in the text: hf.co and docs.astral.sh. This is read from the text; nothing was executed.
Is Hugging Face Jobs safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Hugging Face Jobs use?
No licence was found for Hugging Face Jobs or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Hugging Face Jobs use?
About 7.9k tokens (SKILL.md is roughly 32k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.9k tokens, read only when the agent opens those files.
What are the alternatives to Hugging Face Jobs?
Skills that share tags, products or a category with Hugging Face Jobs: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars) and Upload Post Image (huggingface/blog, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hugging Face Jobs?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.