Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
slug: string
displayName: string
summary: string
description: string
ownerHandle: string
categories: list<item: string>
child 0, item: string
topics: list<item: string>
child 0, item: string
stats: struct<downloads: int64, installs: int64, stars: int64, versions: int64>
child 0, downloads: int64
child 1, installs: int64
child 2, stars: int64
child 3, versions: int64
createdAt: int64
updatedAt: int64
latestVersion: string
crawledAt: int64
i18n: struct<zh: struct<displayName: string, summary: string>, en: struct<displayName: string, summary: st (... 6 chars omitted)
child 0, zh: struct<displayName: string, summary: string>
child 0, displayName: string
child 1, summary: string
child 1, en: struct<displayName: string, summary: string>
child 0, displayName: string
child 1, summary: string
owner: struct<displayName: string, image: string>
child 0, displayName: string
child 1, image: string
repo: string
shardSize: int64
generatedAt: int64
ownerCount: int64
files: list<item: struct<name: string, rows: int64, sha256: string>>
child 0, item: struct<name: string, rows: int64, sha256: string>
child 0, name: string
child 1, rows: int64
child 2, sha256: string
total: int64
i18nCount: int64
shardCount: int64
to
{'repo': Value('string'), 'generatedAt': Value('int64'), 'total': Value('int64'), 'shardSize': Value('int64'), 'shardCount': Value('int64'), 'i18nCount': Value('int64'), 'ownerCount': Value('int64'), 'files': List({'name': Value('string'), 'rows': Value('int64'), 'sha256': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
slug: string
displayName: string
summary: string
description: string
ownerHandle: string
categories: list<item: string>
child 0, item: string
topics: list<item: string>
child 0, item: string
stats: struct<downloads: int64, installs: int64, stars: int64, versions: int64>
child 0, downloads: int64
child 1, installs: int64
child 2, stars: int64
child 3, versions: int64
createdAt: int64
updatedAt: int64
latestVersion: string
crawledAt: int64
i18n: struct<zh: struct<displayName: string, summary: string>, en: struct<displayName: string, summary: st (... 6 chars omitted)
child 0, zh: struct<displayName: string, summary: string>
child 0, displayName: string
child 1, summary: string
child 1, en: struct<displayName: string, summary: string>
child 0, displayName: string
child 1, summary: string
owner: struct<displayName: string, image: string>
child 0, displayName: string
child 1, image: string
repo: string
shardSize: int64
generatedAt: int64
ownerCount: int64
files: list<item: struct<name: string, rows: int64, sha256: string>>
child 0, item: struct<name: string, rows: int64, sha256: string>
child 0, name: string
child 1, rows: int64
child 2, sha256: string
total: int64
i18nCount: int64
shardCount: int64
to
{'repo': Value('string'), 'generatedAt': Value('int64'), 'total': Value('int64'), 'shardSize': Value('int64'), 'shardCount': Value('int64'), 'i18nCount': Value('int64'), 'ownerCount': Value('int64'), 'files': List({'name': Value('string'), 'rows': Value('int64'), 'sha256': Value('string')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
clawhub-skills
Full skill dataset crawled from ClawHub, powering GokuPromptHub.
Complete SKILL.md content for 72,788 unique skills with Chinese translations and owner metadata.
- Shards:
shards/shard-*.jsonl(JSONL, 5000 records per shard, append-order, deduplicated by slug) - Translations (zh): 72,788 skills covered
- Owners: 23,209 owner profiles (displayName + avatar)
- Snapshot: 2026-08-02 05:50:47 UTC
Record schema
{
"slug": "skill-vetter",
"displayName": "Skill Vetter",
"summary": "Security-first skill vetting for AI agents...",
"description": "Full SKILL.md markdown content...",
"ownerHandle": "spclaudehome",
"categories": ["security"],
"topics": ["GitHub", "Permission"],
"stats": {"downloads": 267073, "installs": 12155, "stars": 1278, "versions": 1},
"createdAt": 1769863429632,
"updatedAt": 1778485878349,
"latestVersion": "1.0.0",
"crawledAt": 1785171916944,
"owner": {"displayName": "...", "image": "https://..."},
"i18n": {"zh": {"displayName": "...", "summary": "..."}}
}
Usage
from datasets import load_dataset
ds = load_dataset("json", data_files="shards/shard-*.jsonl", repo_id="GokuScraper/clawhub-skills")
Or download directly:
huggingface-cli download GokuScraper/clawhub-skills --repo-type dataset --include "shards/*"
index.json lists every shard with its sha256 and row count.
Related
- GokuPromptHub - the website built on this data
- OpenClaw/clawhub-security-signals - security scan signals for ClawHub skills (VirusTotal / ClawScan / SkillSpector)
中文说明
从 ClawHub 爬取的完整 AI Agent Skill 数据集，包含 72,788 个去重后的 skill 全文（SKILL.md）、72,788 条中文翻译及 23,209 个作者信息。数据支撑 GokuPromptHub 网站，定期增量更新。
快照时间：2026-08-02 05:50:47 UTC
Support the project
If you find this dataset useful, you can support the project - buy me a coffee!
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