check-dataset-quality

check-dataset-quality is a skill for Claude Code from lawwu/agentic-ml-plugin. It costs 107 tokens per session (2,344 once invoked), scanned A, original, no licence file.

A dataset checking tool for reviewing data before it is used to train a machine-learning model. It supports files, image folders, dataset libraries, and several database systems.

In plain words
What is it for?
Use it to profile and validate CSV, Parquet, JSONL, HuggingFace datasets, image directories, or supported database tables before training.
Why use it?
It helps find data problems that could make training results unreliable, such as missing values, duplicates, uneven classes, accidental overlap between training and test data, and format or schema changes.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the agentic-ml plugin — 15 skills shipped together

Good fit Use it to profile and validate CSV, Parquet, JSONL, HuggingFace datasets, image…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lawwu/agentic-ml-plugin/check-dataset-quality
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lawwu/agentic-ml-plugin --skill check-dataset-quality
Clone the repo
git clone --depth 1 https://github.com/lawwu/agentic-ml-plugin

Made for: Claude Code.

Or install agentic-ml, the plugin that ships this one along with the rest of its 15 skills.

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.

agentmods badge for check-dataset-quality

README.md
[![agentmods](https://agentmods.dev/badge/skills/lawwu/agentic-ml-plugin/check-dataset-quality.svg)](https://agentmods.dev/skills/lawwu/agentic-ml-plugin/check-dataset-quality)
Your own site
<a href="https://agentmods.dev/skills/lawwu/agentic-ml-plugin/check-dataset-quality"><img src="https://agentmods.dev/badge/skills/lawwu/agentic-ml-plugin/check-dataset-quality.svg" alt="Measured on agentmods" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,344 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00107 $0.02344
Opus 5 $0.00053 $0.01172
Sonnet 5 $0.00021 $0.00469
Haiku 4.5 $0.00011 $0.00234

Measured 6d ago against content hash 429996cc5131, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

check-dataset-quality scanned grade A with 0 findings 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 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/profile-dataset.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/agentic-ml/skills/check-dataset-quality/SKILL.md · 248 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 files 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.

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.

  1. 6d ago First seen · 248 lines · 107 tokens per session scan A 429996cc5131

Subscribe to this mod's changes

check-dataset-quality is a skill published in the GitHub repository lawwu/agentic-ml-plugin (3 stars, last pushed 5mo ago), with no licence file. It adds 107 tokens to every session and 2,344 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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