fugue/fregot erreicht einen Gesundheitsindex von 31 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Sustainability & Governance (52/100) ab, am schwächsten bei Vitality (19/100). Zuletzt vor 1492 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
31
gesamt / 100
Gefährdet
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.
31
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 41 wird auf der veröffentlichten Indexskala auf 36 kalibriert (Register-Kalibrierung 2026-08-02).
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
seit 1494 Tagen kein menschlicher Commitautomatisierte Commits ausgenommenReleases stehen stillOpenSSF Scorecard meldet es als ungepflegt
Stille allein ist nie der Befund — eine kleine, fertige Bibliothek braucht womöglich jahrelang keinen Commit. Dieser Hinweis verlangt beides: lange keinen menschlichen Commit und Pflichten, denen das Projekt sichtbar nicht nachkommt. Automatisierte Commits gelten nicht als Pflege.
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.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 10 ⇿
0Sterne
10Forks
25Releases
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 8Patch 17
Jeder Punkt umfasst 3 Tage.
OpenSSF Scorecard 4.0 / 10
4.0Gesamtwert
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 · 2026-08-01 07:59 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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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "release_discipline",
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"name": "Release discipline",
"note": null,
"notes": [],
"value": 47,
"inputs": {
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"points": 27,
"status": "met",
"details": [
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}
],
"max_points": 27
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{
"key": "release_recency",
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"status": "missed",
"details": [
{
"code": "release_recency",
"params": {
"days": 1495
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}
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{
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{
"key": "openssf_scorecard_signed_releases",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "abandonment",
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"name": "Abandonment",
"note": null,
"notes": [],
"value": 85,
"inputs": {
"cap": null,
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]
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],
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{
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"metrics": [
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"note": null,
"notes": [],
"value": 52,
"inputs": {
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"points": 38.4,
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}
],
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{
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{
"code": "forks",
"params": {
"count": 10
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}
],
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{
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]
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{
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"notes": [],
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"inputs": {
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{
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{
"code": "license_spdx",
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"key": "contributing_guide",
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"status": "missed",
"details": [],
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{
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{
"key": "issue_template",
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}
],
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{
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"code": "bus_factor",
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}
],
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{
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{
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"max_points": 10
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},
{
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"code": "excluded_no_data",
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}
},
{
"code": "weights_renormalized",
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"components": [
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"code": "issues_closed_share",
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}
],
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{
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"code": "decided_prs_merged",
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{
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{
"key": "openssf_scorecard_code_review",
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]
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{
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"notes": [],
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"code": "owner_organization",
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{
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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": 0.19,
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"key": "engineering_practices",
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"notes": [],
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"code": "ci_workflows",
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{
"key": "tests_present",
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{
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]
},
{
"key": "documentation",
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"inputs": {
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"key": "documentation_directory",
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{
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"key": "wiki",
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"points": 0,
"status": "missed",
"details": [],
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]
}
],
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{
"key": "security",
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"weight": 0.16,
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{
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"value": 40,
"inputs": {
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{
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"status": "missed",
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{
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{
"key": "contributors",
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{
"key": "dangerous_workflow",
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{
"key": "dependency_update_tool",
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{
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{
"key": "license",
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"points": 2.5,
"status": "met",
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{
"key": "maintained",
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "packaging",
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"status": "excluded",
"details": [
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"code": "no_data",
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"max_points": 5
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{
"key": "pinned_dependencies",
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"status": "missed",
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{
"key": "sast",
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"status": "missed",
"details": [],
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{
"key": "security_policy",
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"status": "partial",
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{
"key": "signed_releases",
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"status": "missed",
"details": [],
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{
"key": "token_permissions",
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{
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},
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"notes": [
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"code": "jurisdiction_evidence_limits",
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],
"value": 100,
"inputs": {
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"components": [
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"code": "jurisdiction_no_match",
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],
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]
}
],
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{
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"weight": 0.04,
"metrics": [
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"key": "ai_agent_context",
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"notes": [],
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"inputs": {
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"components": [
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"key": "agent_instructions",
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"status": "missed",
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{
"key": "machine_readable_docs_llms_txt",
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"code": "legible_history",
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],
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]
},
{
"key": "ai_verify_loop",
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"note": null,
"notes": [],
"value": 51,
"inputs": {
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"toolchain_manifests": [],
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"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
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"code": "file_list",
"params": {
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}
],
"max_points": 18
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{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
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{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
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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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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 v2.3.1, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
