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Agent skill

Dataset Finder

by LeoYeAI in LeoYeAI/openclaw-master-skills

A skill your agent uses when users need to search for datasets, download data files, or explore data repositories.

ProprietaryAuto-check passedAI & LLM Engineering

Install Dataset Finder

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill dataset-finder -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills dataset-finder --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dataset-finder .claude/skills/dataset-finder && 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
dataset-finder
GitHub stars
2.2k
Token cost
~5.4k tokens
SKILL.md length
872 words
Files
5 (incl. scripts, references)
Skills in repo
1,235
Repo updated
First seen
Licence
Proprietary

At a glance

A skill your agent uses when users need to search for datasets, download data files, or explore data repositories.

  • Works in 4 steps: Multi-Repository Search → Dataset Download → Dataset Preview → …
  • Users need to search for datasets
  • SKILL.md covers Quick Reference, Core Features, Repository-Specific Commands and Dataset Management, plus 4 more sections
  • Runs Python scripts from its folder; calls python, pip and huggingface-cli; reaches kaggle.com and huggingface.co; needs HF_TOKEN

What it does

Dataset Finder is an agent skill from LeoYeAI/openclaw-master-skills. Use this skill when users need to search for datasets, download data files, or explore data repositories. Triggers include: requests to "find datasets", "search for data", "download dataset from Kaggle", "get data from Hugging Face", "find ML datasets", or mentions of data repositories like Kaggle, UCI ML Repository, Data.gov, or Hugging Face. Also use for previewing dataset statistics, generating data cards, or discovering datasets for machine learning projects. Requires OpenClawCLI installation from clawhub.ai.

Its SKILL.md is about 5.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `_meta.json`, `references/readme.md` and `scripts/dataset.py`).

It sits in AI & LLM Engineering, covering Model hubs and datasets, Statistics and Machine learning. It works with Hugging Face, Kaggle and Python. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai.

When your agent uses it

  • Users need to search for datasets
  • Download data files
  • Explore data repositories
  • Include: requests to find datasets

Example prompts

  • “find datasets”
  • “search for data”
  • “download dataset from Kaggle”
  • “/dataset-finder”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Multi-Repository Search
  2. Dataset Download
  3. Dataset Preview
  4. Data Card Generation

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip
    • huggingface-cli

    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:

    • kaggle.com
    • huggingface.co
    • archive.ics.uci.edu
    • catalog.data.gov

    Also links to:

    • clawhub.ai
    • github.com
    • data.gov

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • HF_TOKEN

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

Context cost

Dataset Finder loads about 5.4k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 133 tokens; SKILL.md has 872 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~133
When it runs · the whole SKILL.md, loaded when a task matches
~5.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8k

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 (Proprietary) doesn't allow us to republish the file, so here is its outline and opening line. It has 872 words (~5,357 tokens).

“Search, download, and explore datasets from multiple repositories including Kaggle, Hugging Face, UCI ML Repository, and Data.gov. Preview statistics, generate data cards, and manage datasets for machine learning projects.”

— opening of SKILL.md by LeoYeAI, Proprietary
name
dataset-finder
license
Proprietary

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in skills/dataset-finder of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • references/readme.md
  • scripts/dataset.py
  • scripts/requirements.txt

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Dataset Finder 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.

Dataset Finder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dataset Finder this skillLeoYeAI/openclaw-master-skills2.2k—~5.4kAutomated safety check: PassProprietary
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Qwen Mtp GgufR6410418/Jackrong-llm-finetuning-guide1.7k—~1.7kAutomated safety check: PassMIT
Hugging Face TokenizersOrchestra-Research/AI-Research-SKILLs13k6 repos~3.4kAutomated safety check: PassMIT
Hugging Face Vision Trainerhuggingface/skills11k1 repos~7.5kAutomated safety check: PassApache-2.0
Hugging Face API Tool Builderhuggingface/skills11k2 repos~1.5kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Dataset Finder

What does Dataset Finder do?

A skill your agent uses when users need to search for datasets, download data files, or explore data repositories. Dataset Finder is an agent skill from LeoYeAI/openclaw-master-skills. Use this skill when users need to search for datasets, download data files, or explore data repositories.

When should I use Dataset Finder?

Dataset Finder fits situations like: users need to search for datasets; download data files; explore data repositories; include: requests to find datasets.

How do I install Dataset Finder in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill dataset-finder -a claude-code`. Or copy the skill folder (skills/dataset-finder in LeoYeAI/openclaw-master-skills) into .claude/skills/dataset-finder in your project. Claude Code loads it when a task matches its description.

How do I install Dataset Finder in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill dataset-finder -a codex`. Or copy the skill folder (skills/dataset-finder in LeoYeAI/openclaw-master-skills) into .agents/skills/dataset-finder in your project. Codex loads it when a task matches its description.

Can I use Dataset Finder 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 LeoYeAI/openclaw-master-skills --skill dataset-finder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataset-finder, .gemini/skills/dataset-finder, .github/skills/dataset-finder and .opencode/skills/dataset-finder in your project.

What does Dataset Finder need to run?

Going by SKILL.md and its folder, Dataset Finder needs Python for the scripts in its folder, the command-line tools its instructions call (python, pip and huggingface-cli) and credentials named HF_TOKEN. Our summary lists: Python 3.

Does Dataset Finder access the network?

SKILL.md names 7 domains. In commands or code: kaggle.com, huggingface.co, archive.ics.uci.edu and catalog.data.gov; the agent is likely to contact these when it follows the instructions. As links in the text: clawhub.ai, github.com and data.gov. This is read from the text; nothing was executed.

Is Dataset Finder 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 Dataset Finder use?

Dataset Finder carries a proprietary licence (declared in SKILL.md). It is published on GitHub, but it is not open source: read the licence file before using or sharing it.

How many tokens does Dataset Finder use?

About 5.4k tokens (SKILL.md is roughly 21k 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 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Dataset Finder?

Skills that share tags, products or a category with Dataset Finder: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), Qwen Mtp Gguf (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars), Hugging Face Tokenizers (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Hugging Face Vision Trainer (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dataset Finder?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.