| --- |
| 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 |
|
|
| ```bash |
| # 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 |
|
|
| - [GitHub source](https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/oss-growth-attribution) |
| - [ClawHub v1.0.0](https://clawhub.ai/gingiris-1031/skills/oss-growth-attribution) |
| - [Gingiris Growth Tools](https://gingiris.tools/skills/) |
|
|
| 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. |
|
|
