gh-weekly-updates 0.1.1

Automatically discover and summarise your weekly GitHub impact

gh-weekly-updates

Automatically discover and summarise your weekly GitHub impact using AI.

gh-weekly-updates collects your GitHub activity — pull requests authored & reviewed, issues created & commented on, discussions — and generates a structured Markdown summary using GitHub Models.

Features

• Auto-discover repos via the GitHub GraphQL Contributions API, or provide an explicit list
• Collect detailed activity: PRs, reviews, issues, issue comments, discussions
• AI-powered summarisation via GitHub Models (openai/gpt-4.1 by default)
• Structured output: Wins / Strategic Influence / Challenges with inline links
• Push to a repo: automatically commit summaries to a GitHub repo for sharing
• Fully configurable: org, repos, model, prompt — via YAML config or CLI flags
• Custom prompts: tailor the AI summary to your team's format

Installation

pip install gh-weekly-updates

Requirements

• Python 3.11+
• A GitHub personal access token (PAT) or the GitHub CLI (gh) authenticated
  • Required scopes: repo, read:org
  • The token also needs access to GitHub Models for AI summarisation

Quick start

# Authenticate with the GitHub CLI (easiest)
gh auth login

# Run with defaults — covers the past week
gh-weekly-updates

# Or specify a date range
gh-weekly-updates --since 2025-06-01 --until 2025-06-07

Configuration

Create a config.yaml (see config.example.yaml):

# GitHub org to scope repo discovery to
org: my-org

# Explicit repo list (skips auto-discovery)
repos:
  - my-org/api-service
  - my-org/web-app

# GitHub Model for summarisation
model: openai/gpt-4.1

# Push summary to a repo under weekly-updates/
push_repo: my-user/my-updates

# Custom system prompt (inline)
prompt: |
  You are an engineering manager writing a concise weekly summary...

# Or load prompt from a file
# prompt_file: my-prompt.txt

CLI reference

Usage: gh-weekly-updates [OPTIONS]

Options:
  --config PATH    Path to YAML config file. Default: ./config.yaml
  --since TEXT      Start date (ISO 8601). Default: previous Monday.
  --until TEXT      End date (ISO 8601). Default: now.
  --user TEXT       GitHub username. Default: authenticated user.
  --repos TEXT      Comma-separated list of repos (owner/name).
  --org TEXT        GitHub org to scope repo discovery to.
  --output PATH    Write summary to a file instead of stdout.
  --push TEXT       Push summary to a GitHub repo (owner/name).
  --model TEXT      GitHub Model to use. Default: openai/gpt-4.1.
  --verbose         Enable debug logging.
  --help            Show this message and exit.

Authentication

gh-weekly-updates resolves a GitHub token in this order:

1. GITHUB_TOKEN environment variable
2. gh auth token (GitHub CLI)

For GitHub Enterprise with SSO, ensure the token is authorised for your org.

Using with GitHub Actions

You can run gh-weekly-updates on a schedule in a GitHub Actions workflow:

name: Weekly Impact Summary

on:
  schedule:
    - cron: '0 9 * * 1'  # Every Monday at 9am UTC
  workflow_dispatch:

jobs:
  summarise:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-python@v5
        with:
          python-version: '3.12'

      - name: Install gh-weekly-updates
        run: pip install gh-weekly-updates

      - name: Generate summary
        env:
          GITHUB_TOKEN: ${{ secrets.GH_PAT }}
        run: |
          gh-weekly-updates \
            --config config.yaml \
            --push my-user/my-updates

Note: The default GITHUB_TOKEN provided by Actions has limited scope. Use a Personal Access Token stored as a repository secret with repo and read:org scopes, plus GitHub Models access.

Development

git clone https://github.com/sahansera/gh-weekly-updates.git
cd gh-weekly-updates
python -m venv .venv && source .venv/bin/activate
make dev   # install in editable mode with dev deps
make run   # run with defaults
make lint  # ruff check

See CONTRIBUTING.md for more details.

License

MIT