onesuper/tui-use erreicht einen Gesundheitsindex von 51 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei AI Readiness (63/100) ab, am schwächsten bei Security (33/100). Zuletzt vor 113 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
51
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.
51
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 51 wird auf der veröffentlichten Indexskala auf 51 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.
Liefert Releases aus — 9 Versions-Tags (keine GitHub-Releases)
27/36
Release-Aktualität — letztes Release vor 113 Tagen
27/27
Release-Rhythmus — ein Release etwa alle 0,4 Tage
0/10
OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count
9
latest_release_tag
v0.1.18
releases_from_tags
ja
days_since_latest_release
113
mean_days_between_releases
0,4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Issue-Lösungsquote — keine Issues oder keine Daten
30/30
PR-Annahme — 6/6 entschiedene PRs gemergt
0/13
Newcomer PR acceptance — kein PR eines Erstbeitragenden in 30 Tagen entschieden
1.5/15
OpenSSF Scorecard: Code-Review — Found 3/21 approved changesets -- score normalized to 1
Verwendete Eingangsdaten
merged_prs
6
open_issues
0
closed_issues
0
prs_merged_7d
0
prs_decided_7d
0
prs_merged_30d
0
prs_decided_30d
0
issue_closed_ratio
—
closed_unmerged_prs
0
first_time_authors_30d
0
first_time_prs_merged_30d
0
first_time_prs_decided_30d
0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, newcomer_pr_acceptance. Die verbleibenden Gewichte wurden renormalisiert.
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
GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
deps.dev does not index npm:tui-use@0.1.20; advisories assessed against the repository dependency graph instead
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 20 ⇿
0Sterne
20Forks
9Releases
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 0Patch 9
OpenSSF Scorecard 3.2 / 10
3.2Gesamtwert
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 · 2026-08-02 21:31 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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]
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],
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},
{
"key": "security",
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"notes": [
{
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"signed_releases"
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}
},
{
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"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 3.2
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{
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{
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{
"key": "cii_best_practices",
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{
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{
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{
"key": "dangerous_workflow",
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"points": 10,
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{
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{
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{
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{
"key": "maintained",
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{
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{
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{
"key": "sast",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "security_policy",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "signed_releases",
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"code": "no_data",
"params": {}
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],
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{
"key": "token_permissions",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
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},
{
"key": "vulnerabilities",
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
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"red_flag": false,
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"policy_countries": [
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"Iran",
"North Korea"
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"commit_weight_rule": {
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"min_commit_share": 0.1
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"review_only_matches": 0,
"below_threshold_exposures": [],
"assessed_self_published_locations": 4
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{
"key": "policy_exposure_multiplier",
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"detail": "no confirmed policy-scope location match",
"points": 100,
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"details": [
{
"code": "jurisdiction_no_match",
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],
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},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 63,
"weight": 0.04,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 79,
"inputs": {
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"legible_history_share": 0.64,
"agent_instruction_files": [
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"CLAUDE.md"
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"agent_instruction_max_bytes": 1034
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{
"key": "agent_instructions",
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"detail": "AGENTS.md, CLAUDE.md",
"points": 45,
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"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md"
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}
],
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{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
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"details": [],
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{
"key": "legible_commit_history",
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{
"key": "ai_verify_loop",
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{
"key": "automated_tests",
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{
"key": "lint_format_config",
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{
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{
"key": "reproducible_environment",
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{
"key": "demonstrated_agent_practice",
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{
"key": "ai_code_legibility",
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{
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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)."
}
],
"metrics_version": "2.2.0"
},
"warnings": [
"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",
"deps.dev does not index npm:tui-use@0.1.20; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-08-02T21:32:01.448818Z",
"schema_version": "0.29.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/onesuper/tui-use.svg",
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}
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