The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
raise DataFilesNotFoundError("No task.toml or instruction.md files found")
datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
gingiris-twitter-agent-ops
Operate evidence-led X/Twitter and related social workflows: original-source intake, voice calibration, single-post or thread selection, reviewed drafts, authorized publishing, delivery readback and measured follow-up. Use for social operations, content planning, publishing checks, analytics and cross-platform adaptation. 适用于社媒运营、文风校准、内容规划、发布回读与数据复盘；区分草稿、发布授权和真实结果，按账号与任务选择格式，不把历史经验当通用平台规则。
Use this workflow / 使用场景
Category: Content/Social. Version: 2.3.1. Distribution checked: 2026-11-08.
This repository distributes an agent instruction package, not a training dataset. Read the task scope and prerequisites in SKILL.md before running it. 这是 Agent 操作指南包，不是训练数据集。输入、产出、前置条件与完整步骤以 SKILL.md 为准。
Install from the maintained source / 安装
npx skills add Gingiris-1031/gingiris-skills --skill gingiris-twitter-agent-ops
For an offline copy, download the complete folder including references and scripts; downloading only this README is insufficient. OpenClaw users should follow the source installation guide; runtime compatibility is separate from file availability.
Start with a concrete task / 开始使用
Provide your product or source material, target audience/market, current constraint and desired deliverable. Ask the agent to apply gingiris-twitter-agent-ops, separate observations from hypotheses, and identify missing evidence before external actions. Examples in a guide are not proof of your own results.
请提供产品或原始材料、目标用户/市场、当前约束和期望交付物。要求 Agent 使用 gingiris-twitter-agent-ops，区分事实、假设和待验证项；涉及对外操作时遵循你的授权范围。
Source and updates
Maintained source · Report an issue · Browse workflows
MIT licensed. No guaranteed ranking, revenue or audience growth. Platform listing and download counts do not establish successful execution.
- Downloads last month
- 136