Aeneaj/qobuz-dl-go erreicht einen Gesundheitsindex von 56 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei AI Readiness (81/100) ab, am schwächsten bei Security (37/100). Zuletzt vor 3 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
56
gesamt / 100
Mittel
Software-Gesundheitsindex
Metriken werden auf einer standardisierten Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr gewichtetes Mittel, kalibriert auf die Verteilung des öffentlichen Registers, sodass die Stufen Perzentilbedeutung tragen; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze Gefährdet von 34.
56
Außergewöhnlich93-100Die Spitzengruppe des Registers (≈ obere 5 %); erfüllt im Wesentlichen alle geprüften Kriterien
Gut65-79Gesund; Lücken sind begrenzt und beherrschbar
Mittel50-64Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Schwach35-49Wesentliche Schwächen in mehreren Bereichen
Gefährdet20-34Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-19Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Der gewichtete Gesamtwert 54 wird auf der veröffentlichten Indexskala auf 56 kalibriert (Register-Kalibrierung 2026-08-02).
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Trägt ein bewusst kleines Gewicht (4 %): Agenten-Tooling ist ein echtes Pflegesignal, doch ein Repository ohne jedes Signal kann weiterhin 100/100 erreichen.
Handhabbare Dateigrößen — 0/31 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_language
Go
largest_source_bytes
46.856
source_files_sampled
31
oversized_source_files
0
Eckdaten
41GitHub-Sterne
1Mitwirkende
47Commits, letzte 12 Monate
3Tage seit letztem Push
7Releases
1Bus-Faktor
1offene Issues
GoPaket-Ökosysteme
Warnungen zur Datenerhebung
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 8 ⇿
0Sterne
8Forks
2Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 0Minor 1Patch 1
OpenSSF Scorecard 3.7 / 10
3.7Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-30 14:10 UTC
Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
JSON-Rohbericht maschinenlesbar
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"body": "downloader was the least covered package (24.1%) and the one holding the\nmost logic. Nothing exercised the pieces together: metadata parsing, path\nbuilding, the worker pool, tagging and the downloads DB were each tested\nin isolation, or not at all.\n\nAdd a fake Qobuz API (album/get, track/getFileUrl)\n[…]\nct is that track/getFileUrl is\nnever called, so the test counts those instead. Six mutations, all now\ndetected.\n\nPackage coverage 24.1% -> 39.5%.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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"body": "While an mpb container is live it owns the cursor, repositioning and\nrepainting every 150ms. Raw fmt.Printf calls underneath it corrupt the\ndrawing, and the worst offenders ran from the worker goroutines, so with\n--workers 3 several could land mid-repaint at once. It garbled output\nprecisely when a \n[…]\nnd\n range over a string directly instead of []rune(string), clearing the\n last staticcheck findings. staticcheck is now silent across the repo.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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"body": "Coverage figures had drifted well off: the file claimed lyrics 100% and\ndownloader 35%, against measured 74.1% and 24.3%. Replace them with the\nvalues from go test -cover, and note that cmd/qobuz-dl reads 0% because\nits tests build the binary and drive it as a subprocess, so nothing is\ninstrumented \n[…]\ncores, not\n the number of passes.\n\nMark the three debt items done and promote the downloader integration\ntests to the one open item of any size.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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{
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{
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{
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
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"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
],
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"generated_at": "2026-07-30T14:11:05.423804Z",
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"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/Aeneaj/qobuz-dl-go.svg",
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}
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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v2.5.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
