What is huggingface-datasets?

A set of read-only tools for exploring datasets hosted on Hugging Face. It can inspect dataset configurations and splits, preview or search rows, download Parquet files, and read size and statistics information.

Use it to validate datasets, find their subsets and splits, paginate or filter rows, search text, retrieve download links, and inspect dataset statistics.

It avoids downloading an entire dataset just to check its structure or find matching records. This makes dataset inspection easier before processing or analysis.

huggingface-datasets — Skill for Codex by fanfan-de

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/fanfan-de/anybox

agentmods

npx agentmods add skills/fanfan-de/anybox/datasets

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fanfan-de/anybox/datasets/github.svg)](https://agentmods.dev/skills/fanfan-de/anybox/datasets)

Your own site

<a href="https://agentmods.dev/skills/fanfan-de/anybox/datasets"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/datasets/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/fanfan-de/anybox/datasets"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/datasets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,208 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium MCP Rug Pull · line 58
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 76
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 101
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 112
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 118
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00043	$0.01208
Opus 5	$0.00022	$0.00604
Sonnet 5	$0.00009	$0.00242
Haiku 4.5	$0.00004	$0.00121

Measured 9d ago against content hash d882f4e0e6a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

huggingface-datasets scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl "https://datasets-server.huggingface.co/rows?dataset=stanfordnlp/imdb&config=plain_text&split=train&offset=0&length=100"

plugins/Anybox-Plugins/hugging-face/skills/datasets/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hugging Face Dataset Viewer

Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction.

Core workflow

Optionally validate dataset availability with /is-valid.
Resolve config + split with /splits.
Preview with /first-rows.
Paginate content with /rows using offset and length (max 100).
Use /search for text matching and /filter for row predicates.
Retrieve parquet links via /parquet and totals/metadata via /size and /statistics.

Defaults

Base URL: https://datasets-server.huggingface.co
Default API method: GET
Query params should be URL-encoded.
offset is 0-based.
length max is usually 100 for row-like endpoints.
Gated/private datasets require Authorization: Bearer <HF_TOKEN>.

Dataset Viewer

Validate dataset: /is-valid?dataset=<namespace/repo>
List subsets and splits: /splits?dataset=<namespace/repo>
Preview first rows: /first-rows?dataset=<namespace/repo>&config=<config>&split=<split>
Paginate rows: /rows?dataset=<namespace/repo>&config=<config>&split=<split>&offset=<int>&length=<int>
Search text: /search?dataset=<namespace/repo>&config=<config>&split=<split>&query=<text>&offset=<int>&length=<int>
Filter with predicates: /filter?dataset=<namespace/repo>&config=<config>&split=<split>&where=<predicate>&orderby=<sort>&offset=<int>&length=<int>
List parquet shards: /parquet?dataset=<namespace/repo>
Get size totals: /size?dataset=<namespace/repo>
Get column statistics: /statistics?dataset=<namespace/repo>&config=<config>&split=<split>
Get Croissant metadata (if available): /croissant?dataset=<namespace/repo>

Pagination pattern:

curl "https://datasets-server.huggingface.co/rows?dataset=stanfordnlp/imdb&config=plain_text&split=train&offset=0&length=100"
curl "https://datasets-server.huggingface.co/rows?dataset=stanfordnlp/imdb&config=plain_text&split=train&offset=100&length=100"

Read the full file on GitHub · 122 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

agents/openai.yaml 131 B

Changes

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 · 122 lines · 43 tokens per session scan A d882f4e0e6a9

Subscribe to this mod's changes

huggingface-datasets is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 1,208 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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huggingface-datasets