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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 06:49 UTC

superkabuki / threefive

threefive is the #1 SCTE-35 parser on the planet. If it can be done with SCTE-35,threefive can do it. MPEGTS, HLS, DASH, yes.

PythonGPL-2.0★ 21 Sterne⑂ 4 Forksseit März 2025Auf GitHub ansehen ↗

superkabuki/threefive erreicht einen Gesundheitsindex von 51 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (89/100) ab, am schwächsten bei AI Readiness (25/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

51
gesamt / 100
Mittel

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.

51
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)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

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.

Eigentümerschaft

Adrian of DoomPersönliches Konto
5 Follower18 öffentliche Reposseit Nov. 2024

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIthreefive3.0.95-334vor 0 Tagen

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

89Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
32.5/36Commit-Rhythmus — 47/52 Wochen mit Commits
18/18Commit-Volumen — 853 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year853
human_commit_share
days_since_last_push0
active_weeks_last_year47
Wie die Bewertung erfolgt
16.2/27Liefert Releases aus — 10 Versions-Tags (keine GitHub-Releases)
27/36Release-Aktualität — letztes Release vor 166 Tagen
27/27Release-Rhythmus — ein Release etwa alle 36 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count10
latest_release_tagv3.0.71
releases_from_tagsja
days_since_latest_release166
mean_days_between_releases36
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

37Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
21.1/60Stars — 21 Stars
4/25Forks — 4 Forks
0/15Watcher — 1 Watcher
Verwendete Eingangsdaten
forks4
stars21
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (GPL-2.0)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

45Gefährdet · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits
1.4/13.5Breite der Beitragenden — 1 Beitragende
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Verwendete Eingangsdaten
bus_factor1
contributors_sampled1
top_contributor_share1
Wie die Bewertung erfolgt
40.9/46.8Issue-Lösungsquote — 88 % der Issues geschlossen
12.8/38.3PR-Annahme — 1/3 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs1
open_issues1
closed_issues7
issue_closed_ratio0,875
closed_unmerged_prs2
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
5.6/25Reichweite des Inhabers — 5 Follower von superkabuki
12.6/25Kontohistorie — 18 öffentliche Repos, Kontoalter ca. 1 Jahre
Verwendete Eingangsdaten
followers5
owner_typeUser
is_verified
owner_loginsuperkabuki
public_repos18
account_age_days595
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 334 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesthreefive
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

41Gefährdet · 20 % des Gesamtindex
Wie die Bewertung erfolgt
0/24CI-Workflows
0/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cinein
has_testsnein
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://iodisco.com/scte35
10/10Repository-Beschreibung
10/10Topics — 17 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsadbreak, adrianofdoom, adtech, hls-live-streaming, hls-scte35, python3, scte-35, scte35, threefive, mpegts, scte-214, scte-35-hls, fu-based-technology, video, video-streaming, scte35-2, ads
has_wikija
homepagehttps://iodisco.com/scte35
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

37Gefährdet · 16 % des Gesamtindex

Sicherheitslage

37Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — keine Daten
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
0/10Dangerous-Workflow — keine Daten
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
0/5Pinned-Dependencies — keine Daten
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — keine Daten
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated12
scorecard_versionv5.5.0
checks_inconclusive6
scorecard_aggregate3,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. Die verbleibenden Gewichte wurden renormalisiert.

AI Readiness

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.

25Kritisch · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile
0/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsnein
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung, OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/51 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes29.854
source_files_sampled51
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

21GitHub-Sterne
1Mitwirkende
853Commits, letzte 12 Monate
0Tage seit letztem Push
10Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme

Weitere Details

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 · 2026-07-17 06:49 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
k. A.CI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
k. A.Dangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
k. A.Pinned-Dependenciesno dependencies found
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
k. A.Token-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten 0

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.

RegistryPaketVersionBeziehung
JSON-Rohbericht maschinenlesbar
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          },
          {
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            "inputs": {
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                "points": 22.5,
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      {
        "key": "governance",
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        "metrics": [
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                "key": "commit_distribution",
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                "max_points": 13.5
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                "key": "openssf_scorecard_contributors",
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                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
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            "key": "responsiveness",
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            "components": [
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                "status": "partial",
                "details": [
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                      "share": 88
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "status": "partial",
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                "max_points": 38.25
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                "key": "openssf_scorecard_code_review",
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                "points": 0,
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            ]
          },
          {
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            "notes": [
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                "code": "excluded_no_data",
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            "value": 35,
            "inputs": {
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              "account_age_days": 595
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            "components": [
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                "key": "ownership_backing",
                "name": "Ownership backing",
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                "details": [
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                ],
                "max_points": 30
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              {
                "key": "verified_domain",
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                "details": [
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              {
                "key": "owner_reach",
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                "detail": "5 followers of superkabuki",
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                "status": "partial",
                "details": [
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                    "code": "owner_followers",
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                ],
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                "key": "track_record",
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            "note": null,
            "notes": [],
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        ],
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                "code": "excluded_no_data",
                "params": {
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                    "token_permissions"
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              },
              {
                "code": "weights_renormalized",
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            "value": 37,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 12,
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              "checks_inconclusive": 6,
              "scorecard_aggregate": 3.7
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            "components": [
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                "key": "binary_artifacts",
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                "detail": "no binaries found in the repo",
                "points": 7.5,
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                "details": [],
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                "key": "branch_protection",
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                "key": "ci_tests",
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                "details": [
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                    "code": "no_data",
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                "max_points": 2.5
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              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
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              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
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                "status": "missed",
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              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
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                "status": "missed",
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                "max_points": 2.5
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              {
                "key": "dangerous_workflow",
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                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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              {
                "key": "license",
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                "detail": "license file detected",
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              {
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                "details": [],
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              {
                "key": "packaging",
                "name": "Packaging",
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                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
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              {
                "key": "sast",
                "name": "SAST",
                "detail": "no SAST tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
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                "points": 0,
                "status": "missed",
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                "max_points": 5
              },
              {
                "key": "signed_releases",
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                "points": 0,
                "status": "excluded",
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                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 7.5
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              {
                "key": "token_permissions",
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                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 7.5
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              {
                "key": "vulnerabilities",
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                "detail": "0 existing vulnerabilities detected",
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                "max_points": 7.5
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          {
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              {
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                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 2
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                "key": "policy_exposure_multiplier",
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                "max_points": 100
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "critical",
        "name": "AI Readiness",
        "value": 25,
        "weight": 0,
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                "key": "machine_readable_docs_llms_txt",
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              {
                "key": "legible_commit_history",
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                    "code": "no_data",
                    "params": {}
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                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
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            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
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                "name": "Static type checking",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
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                "key": "reproducible_environment",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
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                "points": 0,
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                "details": [
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                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "no dependencies found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 10
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          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
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              "largest_source_bytes": 29854,
              "source_files_sampled": 51,
              "oversized_source_files": 0
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                "key": "type_checkable_code",
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                "points": 0,
                "status": "missed",
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                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
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                "detail": "0/51 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
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                      "kb": 60,
                      "sampled": 51,
                      "oversized": 0
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                ],
                "max_points": 55
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          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
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                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T06:49:52.184723Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/superkabuki/threefive.svg",
  "full_name": "superkabuki/threefive",
  "license_state": "standard",
  "license_spdx": "GPL-2.0"
}

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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.11.0 — vollständige Methodik · Metriken-Wiki.

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