Agent skill

Challenge Download Datasets

by AgibotTech in AgibotTech/genie_sim

Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/downloaddataset.sh.

Custom licenceAuto-check passedBackend & APIs

Install Challenge Download Datasets

skills CLI
$ npx skills add AgibotTech/genie_sim --skill challenge-download-datasets -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgibotTech/genie_sim challenge-download-datasets --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/geniesim_benchmark/skills/robocoliseum/challenge-download-datasets .claude/skills/challenge-download-datasets && rm -rf skills-src

Use ~/.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/

Facts

Skill name
challenge-download-datasets
GitHub stars
1.4k
Token cost
~960 tokens
SKILL.md length
334 words
Files
2 (incl. scripts)
Skills in repo
26
Repo updated
First seen
Licence
Custom licence

At a glance

Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/downloaddataset.sh.

  • Download training data
  • SKILL.md covers Prerequisite — modelscope CLI, Available task suites, Usage and Notes
  • Runs Shell scripts from its folder; calls pip
  • Download the dataset

What it does

Challenge Download Datasets is an agent skill from AgibotTech/genie_sim. Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/downloaddataset.sh. Pulls task-suite data (instruction / manipulation / sim2real) from the agibotworld/GenieSim3.0-Dataset repo into a local dir. Trigger: When the user asks to "下载训练数据", "下载数据集", "拉取 lerobot 数据", "download training data", "download the dataset", "get the lerobot v2.1 data", "download task suite", mentions downloaddataset.sh, ModelScope GenieSim3.0-Dataset, or needs training data to train a challenge…

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/download_dataset.sh`).

It sits in Backend & APIs. The repository describes itself as: Simulation Platform from AgiBot.

When your agent uses it

  • Download training data
  • Download the dataset
  • Get the lerobot v2.1 data
  • Download task suite

Example prompts

  • “下载训练数据”
  • “拉取 lerobot 数据”
  • “download training data”
  • “/challenge-download-datasets”

Requirements

  • Python 3
  • A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit 6ca11c7. 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 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Challenge Download Datasets loads about 960 tokens when it runs. Until then it costs about 139 tokens; SKILL.md has 334 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~960

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 334 words (~960 tokens).

“Download the official LeRobot v2.1 training datasets for the Simulation Challenge from ModelScope (agibot_world/GenieSim3.0-Dataset) via the bundled download_dataset.sh. The data is organized into task suites; pick one or grab all of them.”

— opening of SKILL.md by AgibotTech, Custom licence
name
challenge-download-datasets
metadata.author
zy
metadata.version
1.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in source/geniesim_benchmark/skills/robocoliseum/challenge-download-datasets of AgibotTech/genie_sim.

  • SKILL.md
  • scripts/download_dataset.sh

Open the folder on GitHubat commit 6ca11c7

Compare with similar skills

Challenge Download Datasets 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.

Challenge Download Datasets compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Challenge Download Datasets this skillAgibotTech/genie_sim1.4k—~960Automated safety check: PassCustom licence
Configuring Horizoncoollabsio/coolify63k4 repos~898Automated safety check: PassMIT
Nestjs Best Practicesrolling-scopes/rsschool-app10k6 repos~1.2kAutomated safety check: PassMIT
Sub2API AdminWei-Shaw/sub2api44k1 repos~717Automated safety check: PassLGPL-3.0
Firecrawl Build Onboardingfirecrawl/firecrawl190k1 repos~1.4kAutomated safety check: NotesISC
Obsidian BasesAtmosphere/atmosphere3.8k22 repos~3.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Challenge Download Datasets

What does Challenge Download Datasets do?

Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/downloaddataset.sh. Challenge Download Datasets is an agent skill from AgibotTech/genie_sim.sh.

When should I use Challenge Download Datasets?

Challenge Download Datasets fits situations like: download training data; download the dataset; get the lerobot v2.1 data; download task suite.

How do I install Challenge Download Datasets in Claude Code?

Run `npx skills add AgibotTech/genie_sim --skill challenge-download-datasets -a claude-code`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-download-datasets in AgibotTech/genie_sim) into .claude/skills/challenge-download-datasets in your project. Claude Code loads it when a task matches its description.

How do I install Challenge Download Datasets in Codex?

Run `npx skills add AgibotTech/genie_sim --skill challenge-download-datasets -a codex`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-download-datasets in AgibotTech/genie_sim) into .agents/skills/challenge-download-datasets in your project. Codex loads it when a task matches its description.

Can I use Challenge Download Datasets 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 AgibotTech/genie_sim --skill challenge-download-datasets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/challenge-download-datasets, .gemini/skills/challenge-download-datasets, .github/skills/challenge-download-datasets and .opencode/skills/challenge-download-datasets in your project.

What does Challenge Download Datasets need to run?

Going by SKILL.md and its folder, Challenge Download Datasets needs a shell for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3; A Bash shell.

Does Challenge Download Datasets access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Challenge Download Datasets 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 Challenge Download Datasets use?

Challenge Download Datasets has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Challenge Download Datasets use?

About 960 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Challenge Download Datasets?

Skills that share tags, products or a category with Challenge Download Datasets: Configuring Horizon (coollabsio/coolify, 63k stars), Nestjs Best Practices (rolling-scopes/rsschool-app, 10k stars), Sub2API Admin (Wei-Shaw/sub2api, 44k stars) and Firecrawl Build Onboarding (firecrawl/firecrawl, 190k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Challenge Download Datasets?

AgibotTech (a GitHub organization) maintains it in AgibotTech/genie_sim, which has 1,415 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 7, 2026.

Source: AgibotTech/genie_sim on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.