hannesm/patch erreicht einen Gesundheitsindex von 49 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Vitality (61/100) ab, am schwächsten bei Security (36/100). Zuletzt vor 21 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
49
gesamt / 100
Gefährdet
Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
49
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende 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.
463 Follower278 öffentliche Reposseit März 2010@robur-coop
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? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
Handhabbare Dateigrößen — keine Quelldateien erkannt
Verwendete Eingangsdaten
primary_language
OCaml
largest_source_bytes
—
source_files_sampled
0
oversized_source_files
0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Handhabbare Dateigrößen. Die verbleibenden Gewichte wurden renormalisiert.
Eckdaten
24GitHub-Sterne
6Mitwirkende
17Commits, letzte 12 Monate
21Tage seit letztem Push
11Releases
1Bus-Faktor
7offene Issues
—Paket-Ökosysteme
Warnungen zur Datenerhebung
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 5 ⇿
0Sterne
5Forks
7Releases
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 3Minor 0Patch 1
Jeder Punkt umfasst 7 Tage.
OpenSSF Scorecard 3.6 / 10
3.6Gesamtwert
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 · 2026-07-27 11:06 UTC
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
Registry
Paket
Version
Beziehung
Abhängigkeits-Advisories nicht bewertet
Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies to assess
JSON-Rohbericht maschinenlesbar
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{
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{
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{
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{
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{
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"weight": 0.2,
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"notes": [],
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{
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"points": 24,
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{
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{
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{
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{
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]
},
{
"key": "documentation",
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{
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{
"key": "documentation_directory",
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{
"key": "documentation_homepage_site",
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{
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{
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{
"key": "wiki",
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"detail": null,
"points": 0,
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],
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{
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{
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"key": "sast",
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{
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{
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{
"key": "ai_readiness",
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"value": 40,
"weight": 0,
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"key": "ai_agent_context",
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"note": null,
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"components": [
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"points": 0,
"status": "missed",
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{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
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{
"key": "legible_commit_history",
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{
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"inputs": {
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"components": [
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"points": 0,
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{
"key": "automated_tests",
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"points": 22,
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{
"key": "lint_format_config",
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"points": 0,
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{
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"points": 11,
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{
"key": "reproducible_environment",
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"points": 0,
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"details": [],
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{
"key": "demonstrated_agent_practice",
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"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
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{
"key": "automated_maintenance",
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{
"key": "openssf_scorecard_pinned_dependencies",
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"key": "manageable_file_sizes",
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
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},
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"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/h/hannesm/patch.svg",
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}
Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
