What Counts as a "Good First Issue" on Good First Issue?

Updated

A "good first issue" on goodfirstissue.org is a GitHub issue that is still open, unclaimed, and small enough to finish — typically tagged by maintainers as beginner-friendly. The site surfaces these from 241k indexed repositories, listing 139k beginner-friendly issues, and adds its own signals like a difficulty rating and a newbie-friendliness score so you can judge fit before you start.

The two layers of "good first issue"

There are two different things going on, and it helps to keep them separate.

Maintainer labels. The core signal comes from the repository itself. Maintainers tag issues they consider approachable — the excerpt shows labels like bug, status/needs-triage, needs triage, check:passed, and streams:add. These tags are the maintainers' own invitation: they're saying the task is scoped and they'll engage with a newcomer who picks it up.

Platform signals. Good First Issue adds its own layer on top, because a label alone doesn't tell you how hard the work actually is. The site shows:

  • Difficulty — a 1–5 scale (examples in the excerpt: 1/5, 2/5)
  • Estimated time — "Under an hour" or "1–3 hours"
  • Newbie friendliness — a 0–100 score (examples: 98/100, 86/100, 82/100, 78/100)
  • Maintainer responsiveness — "Maintainers usually reply within 1 day" or "within 2 days"

So a "good first issue" isn't just a label — it's a label plus evidence that the task is small and the maintainers are likely to respond.

What the site means by "still open, unclaimed, and small enough to finish"

That phrase is the practical filter, and each word matters:

Condition What it rules out
Still open Issues already resolved or closed
Unclaimed Issues someone else has already taken (the site even has an "Already taken" report option)
Small enough to finish Tasks too large for a first contribution

The "Report a problem with this issue" menu confirms the intent. You can flag an issue as Already taken, Not beginner-friendly, Stale or invalid, or Something else. That means the listing is meant to be self-correcting: if a task turns out to be harder than advertised, the community can say so.

Reading the difficulty and friendliness scores

The scores exist to stop you from starting something you can't finish. A few patterns from the excerpt:

  • Difficulty 1/5, under an hour, 98/100 — a typo fix in a course repo (因因为 → 因为). This is about as safe as a first contribution gets.
  • Difficulty 1/5, under an hour, 82/100 — a documentation clarification about a sensor unit. Still small, slightly less certain.
  • Difficulty 2/5, 1–3 hours, 86/100 — a bug report about missing NSG rules, tagged status/needs-triage. More investigation required.
  • Difficulty 2/5, 1–3 hours, 78/100 — a numerical bug returning NaN under specific library semantics. The lowest friendliness score shown, and the most technical.

The pattern: as difficulty rises and the friendliness score falls, the issue needs more domain knowledge and more back-and-forth. A high friendliness score with a 1/5 difficulty is the clearest green light.

Why these labels help newcomers

Without them, a first-time contributor faces a search problem: thousands of open issues, no way to tell which are actually doable. The labels and scores solve three specific problems:

  1. Scope — "Under an hour" tells you the task has a defined end, so you won't get pulled into an open-ended refactor.
  2. Skill match — a 1/5 difficulty typo fix needs no project knowledge; a 2/5 numerical bug needs you to understand the library's semantics.
  3. Response risk — "Maintainers usually reply within 1 day" tells you your pull request won't sit ignored, which is the most common reason first contributions stall.

How to use this when picking an issue

  • Start with Difficulty 1/5 and Under an hour if this is your first contribution anywhere.
  • Treat the newbie friendliness score as a tiebreaker between two issues of similar difficulty.
  • Check the maintainer reply time before committing — a fast-responding maintainer makes a small task much easier to land.
  • If you open an issue and find it's already claimed or harder than described, use the report menu rather than pushing through.

The site also lets you browse by technology (JavaScript, Python, Go, and more) or pick projects "most likely to merge your first pull request," which narrows the field further once you know what you want to work in.