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croissant-validator

croissant-validator is a skill for Claude Code from AI-ModCon/BaseData_Skills. It costs 47 tokens per session (865 once invoked), scanned C, original, no licence file.

A tool for creating and checking Croissant metadata, a standard way to describe machine learning datasets.

In plain words
What is it for?
Use it to validate existing metadata, generate croissant.json files, and check dataset descriptions for compliance.
Why use it?
It helps detect metadata that does not follow the MLCommons Croissant format and supports creating correctly structured dataset descriptions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 5repo 1mo ago C scan 47 tokens no licence

Good fit Use it to validate existing metadata, generate croissant.json files, and check dataset descriptions for compliance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-modcon/basedata_skills/croissant-validator
View source ↗ AI-ModCon/BaseData_Skills
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 AI-ModCon/BaseData_Skills --skill croissant-validator
Clone the repo
git clone --depth 1 https://github.com/AI-ModCon/BaseData_Skills

Made for: Claude Code.

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 croissant-validator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-modcon/basedata_skills/croissant-validator/github.svg)](https://agentmods.dev/skills/ai-modcon/basedata_skills/croissant-validator)
Your own site
<a href="https://agentmods.dev/skills/ai-modcon/basedata_skills/croissant-validator"><img src="https://agentmods.dev/badge/skills/ai-modcon/basedata_skills/croissant-validator/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.

agentmods 80×15 button for croissant-validator

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-modcon/basedata_skills/croissant-validator"><img src="https://agentmods.dev/badge/skills/ai-modcon/basedata_skills/croissant-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 865 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00047 $0.00865
Opus 5.5 $0.00019 $0.00346
Sonnet 5.5 $0.00009 $0.00173
Haiku 4.5 $0.00005 $0.00086

Measured 2mo ago against content hash 2138c58e7c20, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

croissant-validator scanned grade C 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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/generate_croissant_from_csv.py, scripts/validate_croissant.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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf .venv_croissant
skills/croissant-validator/SKILL.md · 109 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

2 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. 2mo ago First seen · 109 lines · 47 tokens per session scan C 2138c58e7c20

Subscribe to this mod's changes

croissant-validator is a skill published in the GitHub repository AI-ModCon/BaseData_Skills (5 stars, last pushed 1mo ago), with no licence file. It adds 47 tokens to every session and 865 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AI
Related

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croissant-validator next to 6 skills from other repositories
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