Hugging Face's logo

Datasets:
Gingiris
/
oss-growth-attribution

Tasks:
Text Generation
Text Classification
Languages:
English
Chinese
Size:
n<1K
Tags:
open-source
oss-marketing
growth-attribution
github-stars
github-trending
hacker-news
License:
Dataset card Files
xet
 Community
oss-growth-attribution / README.md
Gingiris's picture
Gingiris
Publish OSS growth attribution skill v1.0.0
5d5bcb3 verified
preview code
|
Raw
History Blame Contribute Delete
3.77 kB
metadata 
license: mit
language:
  - en
  - zh
pretty_name: OSS Growth Attribution — Evidence-Backed GitHub Star and Channel Analysis
task_categories:
  - text-generation
  - text-classification
tags:
  - open-source
  - oss-marketing
  - growth-attribution
  - github-stars
  - github-trending
  - hacker-news
  - product-hunt
  - reddit-marketing
  - developer-marketing
  - content-attribution
  - channel-attribution
  - agent-skill
  - claude-skill
  - codex-skill
  - llm-prompt
size_categories:
  - n<1K

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

  1. Resolves the canonical GitHub repository.
  2. Builds a timestamped star and release timeline.
  3. Searches GitHub Trending, Reddit, Hacker News, Product Hunt, X, LinkedIn, Instagram, TikTok, YouTube, developer media, technical blogs, and localized communities.
  4. Preserves original content URLs and observed public metrics.
  5. Aligns publication events with changes in star velocity.
  6. Separates observed, inferred, and modeled findings.
  7. 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.