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Weekly

Get weekly stats for your repos by email

Every Monday you see stars, forks, open issues and open pull requests for your repos, and how they changed since last week.

Runs
Weekly
Apps
GitHub
AI
Not needed
Access
Metadata: read

Send this to your assistant

Create a ClickRuntime automation: every Monday at 9am, email me stars, forks, open issues and open pull requests for acme/app and acme/docs, compared with last week.

Paste it into your assistant. It tells you what it will send or change before it runs live.

First time? Adding ClickRuntime to your assistant takes about two minutes.

Why use it

Why teams use this automation

Open source maintainers and developer-tool founders often ask the same question on Monday: is the project growing? Stars, forks, open issues and open pull requests all live on different pages, and the numbers mean little without last week's figures to compare against. So they guess from memory, or screenshot the repository page and lose the comparison.

Every week the current numbers for each repository are fetched, including community health data, and compared against the figures stored from the previous run. The results go out as an email or Slack message showing each metric with its change, such as 14 new stars and 3 more open issues, then the new numbers are saved for next week.

Maintainers who report to a sponsor, companies with several public repos and teams that review project health weekly.

What you get out of it

  • Growth shows up as a number

    Seeing that stars rose by 40 this week gives you a concrete way to judge a launch or a conference talk, instead of relying on a vague sense that interest picked up.

  • Open issue creep gets caught

    If open issues climb by ten every week while pull requests stay flat, the report makes that drift visible long before the backlog becomes unmanageable. Seeing the trend early lets you schedule a triage day.

  • Sponsors and bosses get evidence

    A short weekly log of project health makes it easy to show employers or sponsors that the work is paying off, with a trend rather than a single screenshot. That is often exactly what a grant or sponsorship renewal requires.

  • Several repositories in one report

    Maintainers with a family of repos see them side by side, which makes it clear where attention is going and which projects are quietly stalling. Choosing where to spend limited volunteer time becomes much easier.

  • History is stored automatically

    Because last week's numbers are kept for comparison, there is a running record to review at year end, and nobody has to create a spreadsheet to keep it. Records like this are hard to recreate after the fact.

How it works

What happens, step by step

  1. Every Monday, the automation collects the stars, forks, open issues and open pull requests for your GitHub repos.

  2. It compares each number with last week's, which it saved on the previous run.

  3. You get the report by email or Slack, with the change next to each number.

Before it runs live

  • Connect GitHub

What you get

RunsWeekly
Get weekly stats for your repos by emailtoday, 9:00Succeeded
Email · Weekly repo statsacme/app: stars 4,812 (+37) · forks 391 (+4) · issues 128 (-6) · prs 19 (+2)

Build your own

Need it to work differently?

This template is a starting point. Copy the prompt and change it, or describe a different automation from scratch, with your own conditions, more apps or an AI step. Your assistant writes it, tests it and runs it on ClickRuntime.
  • Your own rules

    Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.

  • Any number of apps

    One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.

  • AI where it helps

    Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.

  • On a schedule or on each event

    Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.

Changes you can ask for

  • Run it at a different time, more or less often, or only on weekdays
  • Add an AI step, for example to summarize, sort or draft a reply
  • Add another app, for example also send it to Slack
  • Combine it with other GitHub steps into one automation

Under the hood

The code that runs this automation

This is the Python script that runs each time the automation starts. Your AI assistant writes it for you when you send the prompt, and you allow each step in your assistant. To change how the automation works, describe the change to your assistant and it updates the script for you. For every function it can use, see the script reference.
weekly_repository_stats_report.pyexample
from clickruntime import on_trigger, credentials, http, state, notify

def gh(method, path, **kw):
    resp = http.request(method, f"https://api.github.com{path}", headers={
        "Authorization": f"Bearer {credentials.connection('github', 'work')}",
        "Accept": "application/vnd.github+json"}, **kw)
    resp.raise_for_status()
    return resp.json() if resp.content else None

REPOS = ["acme/app", "acme/docs"]

@on_trigger
def run(event):
    last = state.get("last") or {}
    now, lines = {}, []
    for repo in REPOS:
        info = gh("GET", f"/repos/{repo}")
        prs = gh("GET", "/search/issues", params={"q": f"repo:{repo} is:pr is:open", "per_page": 1})["total_count"]
        stats = {"stars": info["stargazers_count"], "forks": info["forks_count"],
                 "issues": info["open_issues_count"] - prs, "prs": prs}
        prev = last.get(repo, {})
        lines.append(f"{repo}: " + " · ".join(
            f"{k} {v}" + (f" ({v - prev[k]:+d})" if k in prev else "") for k, v in stats.items()))
        now[repo] = stats
    notify.email_me("Weekly repo stats", "\n".join(lines))
    state.set("last", now)
    return now

FAQ

Common questions

Which numbers does the report include?
Stars, forks, open issues and open pull requests for each repository, along with the change from the previous week. Community profile data, such as whether a README or license exists, can be included if you want it.
What does the first report show?
The first run has no earlier numbers to compare with, so it shows the current values and records them. From the second week onward, each metric includes the difference from the week before. From there it keeps a running comparison.
Can I send it to Slack instead of email?
Yes, either one or both. A Slack post suits a team channel where the project's health is discussed weekly, while email suits a personal log or a note forwarded to a sponsor. You can also set a different recipient for each.
What permissions does it need?
Metadata: read. Nothing else in your accounts is used.
Does it need AI?
No. It runs without AI, so it doesn't use your plan's AI allowance.
How many runs does it use?
One run each time it runs (weekly). Checks that find nothing to do and stop right away aren't counted.
Can I change how it works?
Yes. Describe the change to your AI assistant, for example a different schedule, channel or filter. It updates the automation, tests it and tells you what changed.

Set up “Get weekly stats for your repos by email” from your assistant

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