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Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 01:16 UTC

ahupp / python-magic

A python wrapper for libmagic

PythonEigene Lizenz★ 2.914 Sterne⑂ 304 Forksseit März 2010Auf GitHub ansehen ↗

ahupp/python-magic erreicht einen Gesundheitsindex von 57 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Community & Adoption (66/100) ab, am schwächsten bei AI Readiness (45/100). Zuletzt vor 1 Tag aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

57
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.

57
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

Adam HuppPersönliches Konto
98 Follower28 öffentliche Reposseit Dez. 2008Facebook

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIpython-magic0.4.27-27vor 1505 Tagenmimemagicfile

Metriken nach Kategorie

Vitalität

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

50Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 1 Tagen
5.5/36Commit-Rhythmus — 8/52 Wochen mit Commits
10/18Commit-Volumen — 12 Commits im letzten Jahr
5/10OpenSSF Scorecard: Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
Verwendete Eingangsdaten
commits_last_year12
human_commit_share0,98
days_since_last_push1
active_weeks_last_year8

Release-Disziplin

40Gefährdet
Wie die Bewertung erfolgt
16.2/27Liefert Releases aus — 20 Versions-Tags (keine GitHub-Releases)
0/36Release-Aktualität — letztes Release vor 1.505 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 84,7 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count20
latest_release_tag0.4.27
releases_from_tagsja
days_since_latest_release1.505
mean_days_between_releases84,7
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?

66Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
56.2/60Stars — 2.914 Stars
20.7/25Forks — 304 Forks
9.1/15Watcher — 45 Watcher
Verwendete Eingangsdaten
forks304
stars2.914
watchers45
growth_stateorganic
growth_factor_pct100
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
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?

58Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
6.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 70 % der Commits
13.5/13.5Breite der Beitragenden — 57 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 32 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled57
top_contributor_share0,697
Wie die Bewertung erfolgt
41.7/46.8Issue-Lösungsquote — 89 % der Issues geschlossen
24.7/38.3PR-Annahme — 89/138 entschiedene PRs gemergt
6/15OpenSSF Scorecard: Code-Review — Found 10/21 approved changesets -- score normalized to 4
Verwendete Eingangsdaten
merged_prs89
open_issues24
closed_issues200
issue_closed_ratio0,893
closed_unmerged_prs49
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
14.3/25Reichweite des Inhabers — 98 Follower von ahupp
22.6/25Kontohistorie — 28 öffentliche Repos, Kontoalter ca. 17 Jahre
Verwendete Eingangsdaten
followers98
owner_typeUser
is_verified
owner_loginahupp
public_repos28
account_age_days6.427
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

69Mittel
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
4/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 1.505 Tagen
20/20Versionshistorie — 27 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespython-magic
ecosystemspypi
any_deprecatednein
min_days_since_publish1.505

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

63Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 1 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — ruff.toml, tox.ini
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests — 7 out of 16 merged PRs checked by a CI test -- score normalized to 4
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

49Gefährdet · 16 % des Gesamtindex

Sicherheitslage

49Gefährdet
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
1/2.5CI-Tests — 7 out of 16 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 10/21 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 32 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5Lizenz — license file detected
3.8/7.5Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
0/5Packaging — keine Daten
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4,9
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. 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.

45Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
16.9/40Lesbare Commit-Historie — 31 von 98 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,316
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — ruff.toml, tox.ini
11/11Statische Typprüfung — magic/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
8/8Automatisierte Wartung — 2 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configsmagic/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,02
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (magic/py.typed)
55/55Handhabbare Dateigrößen — 0/7 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes16.393
source_files_sampled7
oversized_source_files0

Eckdaten

2.914GitHub-Sterne
57Mitwirkende
12Commits, letzte 12 Monate
1Tage seit letztem Push
20Releases
1Bus-Faktor
24offene Issues
PyPIPaket-Ökosysteme

Weitere Details

Stern- und Fork-Verlauf 2.914 ★ / 304 ⇿
2.914Sterne
304Forks
20Releases

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.

Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.

05001.0001.5002.0002.5003.0002.914284202010-082018-072026-06
Major 0Minor 0Patch 20

Jeder Punkt umfasst 15 Tage.

OpenSSF Scorecard 4.9 / 10
4.9Gesamtwert

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 · 2026-07-22 01:16 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
4CI-Tests7 out of 16 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 10/21 approved changesets -- score normalized to 4
10Contributorsproject has 32 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
5Maintained7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
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
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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          "headline": "Add \"magic-1.dll\" to the list of DLL files to search for on Windows",
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          "headline": "Support file 5.41.",
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          "body": "I can't repro this, but PR #250 suggests that some versions of\nlibmagic will return a mimetype that doesn't include a charset,\nleading to an exception.  Fall back to an empty charset in this case.",
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          "headline": "Fix compat mode handling with empty mime string",
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          "body": "__del__ is called regardless of whether __init__ passed, so the cookie\nattribute may not exits. This can be seen with:\n\npython3 -c \"import magic; magic.Magic(foo=None)\"\n\nAlso discussed in https://github.com/ahupp/python-magic/pull/222#issuecomment-675354824",
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          "headline": "Revert \"Fix bug in Magic when destructor called too early\"",
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                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "at_risk",
        "name": "Security",
        "value": 49,
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        "metrics": [
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                "params": {
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                }
              },
              {
                "code": "weights_renormalized",
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            "value": 49,
            "inputs": {
              "source": "openssf_scorecard",
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              "checks_inconclusive": 2,
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                "key": "binary_artifacts",
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                "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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                "key": "code_review",
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                "detail": "Found 10/21 approved changesets -- score normalized to 4",
                "points": 3,
                "status": "partial",
                "details": [],
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                "key": "contributors",
                "name": "Contributors",
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                "points": 2.5,
                "status": "met",
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              {
                "key": "dangerous_workflow",
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                "points": 10,
                "status": "met",
                "details": [],
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              {
                "key": "dependency_update_tool",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5",
                "points": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
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              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "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",
                "name": "SAST",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
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              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
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                "points": 0,
                "status": "missed",
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              {
                "key": "vulnerabilities",
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                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
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          {
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            "notes": [
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              "red_flag": false,
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                "Iran",
                "North Korea"
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                "status": "met",
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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",
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        "name": "AI Readiness",
        "value": 45,
        "weight": 0,
        "metrics": [
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            "name": "Agent context & guidance",
            "note": null,
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            "value": 17,
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
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                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
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            "note": null,
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            "value": 52,
            "inputs": {
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              "lockfiles": [],
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              "bootstrap_files": [],
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              "has_linter_config": true,
              "typecheck_configs": [
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              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.02
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            "components": [
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                "key": "one_command_bootstrap",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
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              {
                "key": "automated_tests",
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                "points": 22,
                "status": "met",
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              {
                "key": "lint_format_config",
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                "status": "met",
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                "key": "static_type_checking",
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                "points": 11,
                "status": "met",
                "details": [
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                "key": "reproducible_environment",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
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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."
      }
    ],
    "metrics_version": "1.13.0"
  },
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  "report_type": "repository",
  "generated_at": "2026-07-22T01:16:28.853251Z",
  "schema_version": "0.26.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/ahupp/python-magic.svg",
  "full_name": "ahupp/python-magic",
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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 v1.13.0, Schema v0.26.0 — vollständige Methodik · Metriken-Wiki.

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