Real Skill packageSource verifiedClawHub registry

dataset-producer

Produce complete, publish-ready AI/ML datasets in HuggingFace format (parquet shards + README.md with YAML frontmatter + dataset card + provenance script). Use whenever the user wants to create, build, produce, assemble, package, or publish a dataset for training, fine-tuning, evaluation, benchmark.

Identity and source

Publisher attributionDarkDregistry owner unverified by skillvetai
Functional categoryAgent Engineering, Security & Governanceautomatically inferred · 54% rule confidence
Package forminstruction with code28 recorded files
Canonical sourceClawHub registryclawhub:darkd:dataset-producer
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/15/2026.claude/skills/dataset-producer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/15/2026.agents/skills/dataset-producer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/15/2026skills/dataset-producer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @darkd/dataset-producer
clawhub inspect @darkd/dataset-producer --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
28 / 28 inspected as text
Checked
9/15/2026, 5:09:15 PM
Scanner
0.1.3
Policy
1.0.3
3 inferred permission indicators
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
19 dependency and API indicators
  • pypi: datasets >=2.14,<5.1
  • pypi: pyarrow >=14.0
  • pypi: pyyaml >=6.0
  • api: allrecipes.co.uk
  • api: arxiv.org
  • api: clawhub.ai
  • api: creativecommons.org
  • api: datasets-server.huggingface.co
  • api: dl.fbaipublicfiles.com
  • api: github.com
  • api: huggingface.co
  • api: openai.com
  • api: opendatacommons.org
  • api: opensource.org
  • api: spdx.org
  • api: unlicense.org
  • api: www.apache.org
  • api: www.gnu.org
  • api: www.mozilla.org
External clawhub result: suspicious

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/15/2026, 9:40:19 AM
Release binding
Matches this record
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:851a56737996dd588d03723f81489ba2a7759b1ae4fd279bde5905c8208488a1
Show up to 28 recorded paths
  • assets/example_features/benchmark-mcq.json
  • assets/example_features/benchmark-qa.json
  • assets/example_features/chat.json
  • assets/example_features/instruction-tuning.json
  • assets/example_features/preference-dpo.json
  • assets/example_features/pretraining.json
  • assets/example_features/README.md
  • assets/licenses/apache-2.0.txt
  • assets/licenses/cc-by-4.0.txt
  • assets/licenses/cc-by-nc-4.0.txt
  • assets/licenses/mit.txt
  • evals/evals.json
  • references/card-template.md
  • references/clarifying-questions.md
  • references/format-guide.md
  • references/multi-config.md
  • references/quality-checklist.md
  • references/schemas.md
  • references/smoke-test.md
  • references/yaml-spec.md
  • requirements.txt
  • scripts/example_create_dataset.py
  • scripts/make_card.py
  • scripts/produce_dataset.py
  • scripts/smoke_test.py
  • scripts/validate.py
  • skill-card.md
  • SKILL.md

Source changelog

- Initial release of dataset-producer skill for producing complete, publish-ready AI/ML datasets in HuggingFace format. - Automates the entire dataset production pipeline: schema design, validation, parquet sharding, statistics, card generation, and provenance script creation. - Output always includes four required artifacts: sharded parquet data, README.md with YAML frontmatter, a provenance script, and LICENSE/citation. - Supports multiple dataset families, including SFT, chat/dialogue, preference/DPO/RLHF, pretraining corpora, MCQ benchmarks, and QA datasets. - Handles small-data edge cases and common failure modes, ensuring robust production for all dataset sizes.