Datasets:

Gingiris
/

oss-growth-attribution

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.

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OSS Growth Attribution

An evidence-backed AI agent skill for reconstructing how an open-source project grew: GitHub star stages, launch and amplification channels, representative posts and videos, contribution ranges, and attribution limits.

It is designed for questions such as:

Which channels actually contributed to this repository's growth?
What content coincided with each GitHub star spike?
Did Reddit, Hacker News, Product Hunt, GitHub Trending, KOLs, or localized media matter?
Which conclusions are observed, inferred, or modeled?

Install

# skills.sh / GitHub source
npx skills add Gingiris-1031/gingiris-skills --skill oss-growth-attribution

# ClawHub
clawhub install oss-growth-attribution

Then ask your agent:

Use $oss-growth-attribution to investigate owner/repository and produce a staged channel and key-content attribution report with original links.

What the skill does

Resolves the canonical GitHub repository.
Builds a timestamped star and release timeline.
Searches GitHub Trending, Reddit, Hacker News, Product Hunt, X, LinkedIn, Instagram, TikTok, YouTube, developer media, technical blogs, and localized communities.
Preserves original content URLs and observed public metrics.
Aligns publication events with changes in star velocity.
Separates observed, inferred, and modeled findings.
Reports unsupported hypotheses instead of inventing channel impact.

Attribution guardrails

Search results are discovery aids, not final evidence.
GitHub Trending is treated as both an outcome and an amplifier.
Percentage contributions are modeled ranges, not fake last-click precision.
Without first-party traffic, referral, or UTM data, uncertainty is at least ±10–15 percentage points.
Product Hunt or Show HN impact requires a canonical page or strong corroboration.

Included files

SKILL.md — core workflow and required report structure
agents/openai.yaml — agent UI metadata
references/api-playbook.md — GitHub API and discovery queries
references/evidence-schema.md — normalized content evidence fields
references/attribution-model.md — event scoring and stage definitions

Verified distribution

The published skill passed the official Skill validator, the Gingiris monorepo validator, GitHub/skills.sh clean installation, ClawHub clean installation, and byte-level source comparison.

中文简介

OSS Growth Attribution 用于重建开源项目的真实增长来源：结合 GitHub Star 时间线、版本发布、GitHub Trending、Reddit、Hacker News、Product Hunt、社媒 KOL、短视频、技术媒体和本地化内容，输出分阶段渠道归因报告及关键内容原始链接。

所有结论都会标记为“已观测 / 推断 / 模型估算”。找不到证据的渠道会明确列入未验证假设，不会因为某个平台常用于开源增长就强行分配贡献。

License

MIT. ClawHub distribution is released under MIT-0 according to that registry's publishing terms.

加入出海社群与购买资料包 · Community & Resources

加入出海社群： 微信添加 staywildgrow，留言「加入社群」即可。
购买资料包： 微信添加 staywildgrow，咨询购买 Gingiris 出海资料包，价格 599 元人民币。
Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).
Get the resource pack: Add staywildgrow on WeChat to purchase the Gingiris global growth resource pack for CNY 599.

社群与资料包为可选入口，不影响本开源 Skill 的安装和使用。

The community and paid resource pack are optional; neither is required to install or use this open-source skill.

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