Search recent repo activities

---

description: "Fetch recent GitHub activity from the Nom feed" argument-hint: "[org/repo] [--search QUERY] [--type TYPE] [--org ORG] [--from DATE] [--to DATE] [--limit N] [--rss]" allowed-tools: ["Bash(curl:*)"]

Fetch GitHub activity from Nom (beta.nomit.dev) and present it clearly.

Base URL: https://beta.nomit.dev

$ARGUMENTS parsing rules:

• If the first argument looks like org/repo (contains /), use the repo feed at /api/feed/{org}/{repo}
• Otherwise use the global feed at /api/feed
• --search TEXT — free-text search (full-text on title/summary)
• --type TYPE — filter by event type: pull_request, issue, release, push
• --org ORG — filter by GitHub org (global feed only)
• --from DATE / --to DATE — date range (ISO 8601, e.g. 2026-01-01) (global feed only)
• --limit N — results to return (default 20, max 100)
• --rss — fetch RSS XML instead of JSON (repo feed: /api/feed/{org}/{repo}/rss; global: /api/feed/rss)

Build q for global feed by joining filters: e.g. type:pull_request org:vercel from:2026-01-01 plus any --search text.

API endpoints (JSON):

• Global feed: GET /api/feed
• Repo feed: GET /api/feed/{org}/{repo}

RSS endpoints (if --rss):

• Global: GET /api/feed/rss
• Repo: GET /api/feed/{org}/{repo}/rss

Use curl to fetch the response. For JSON, present results as a clean readable summary. For each item show:

• Event type label (PR / Issue / Release / Push)
• Title as a markdown link to the URL
• One-line AI summary
• Author and timestamp (relative if possible)

Response shape: { items: [...], pagination: { offset, limit, has_more } }. Each item has id, type, org, repo, title, summary, url, author, contributors, updated_at.

Example output format:

**PR** [Add turbo support](https://github.com/vercel/next.js/pull/123)
timneutkens · 2 hours ago
Adds experimental Turbo support to the build pipeline, cutting build times by ~40%.

**Release** [v14.2.0](https://github.com/vercel/next.js/releases/tag/v14.2.0)
vercel-release-bot · 1 day ago
Major release introducing partial pre-rendering and improved image optimisation.