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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-28 14:46 UTC

Infinidat / munch

A Munch is a Python dictionary that provides attribute-style access (a la JavaScript objects).

PythonMIT★ 785 Sterne⑂ 85 Forksseit März 2012ForkAuf GitHub ansehen ↗

Infinidat/munch erreicht einen Gesundheitsindex von 26 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Sustainability & Governance (60/100) ab, am schwächsten bei Vitality (15/100). Zuletzt vor 783 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

26
gesamt / 100
Kritisch

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.

26
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.

Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.

Eigentümerschaft

Infinidat Ltd.Organisation
15 Follower174 öffentliche Reposseit Apr. 2012

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPImunch4.0.0-15vor 1123 Tagenmunchdictmappingcontainercollection

Metriken nach Kategorie

Vitalität

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

15Kritisch · 22 % des Gesamtindex
Wie die Bewertung erfolgt
0/36Push-Aktualität — letzter Push vor 783 Tagen
0/36Commit-Rhythmus — 0/52 Wochen mit Commits
0/18Commit-Volumen — 0 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year0
human_commit_share1
days_since_last_push783
active_weeks_last_year0

Release-Disziplin

36Gefährdet
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 3 Releases veröffentlicht
0/36Release-Aktualität — letztes Release vor 1.123 Tagen
5.4/27Release-Rhythmus — ein Release etwa alle 1.082,5 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count3
latest_release_tag4.0.0
releases_from_tagsnein
days_since_latest_release1.123
mean_days_between_releases1.082,5
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?

49Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
46.9/60Stars — 785 Stars
16/25Forks — 85 Forks
7.5/15Watcher — 23 Watcher
Verwendete Eingangsdaten
forks85
stars785
watchers23
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
0/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmenein
has_licensenein
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?

60Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
10.6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 53 % der Commits
13.5/13.5Breite der Beitragenden — 18 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled18
top_contributor_share0,527
Wie die Bewertung erfolgt
36.7/46.8Issue-Lösungsquote — 78 % der Issues geschlossen
26.5/38.3PR-Annahme — 36/52 entschiedene PRs gemergt
4.5/15OpenSSF Scorecard: Code-Review — Found 9/26 approved changesets -- score normalized to 3
Verwendete Eingangsdaten
merged_prs36
open_issues11
closed_issues40
issue_closed_ratio0,784
closed_unmerged_prs16
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
8.7/25Reichweite des Inhabers — 15 Follower von Infinidat
25/25Kontohistorie — 174 öffentliche Repos, Kontoalter ca. 14 Jahre
Verwendete Eingangsdaten
followers15
owner_typeOrganization
is_verified
owner_loginInfinidat
public_repos174
account_age_days5.210

Paketpflege

69Mittel
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
4/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 1.123 Tagen
20/20Versionshistorie — 15 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesmunch
ecosystemspypi
any_deprecatednein
min_days_since_publish1.123

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

52Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .pylintrc, tox.ini
0/9.6Pre-Commit-Hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 14 merged PRs checked by a CI test -- score normalized to 0
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfigja
has_linter_configja
has_precommit_confignein

Dokumentation

25Kritisch
Wie die Bewertung erfolgt
0/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — http://github.com/Infinidat/munch
0/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepagehttp://github.com/Infinidat/munch
has_readmenein
has_docs_dirnein
has_descriptionnein

Sicherheit

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

38Gefährdet · 16 % des Gesamtindex

Sicherheitslage

38Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
0/2.5CI-Tests — 0 out of 14 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 9/26 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, 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.

41Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
20.3/40Lesbare Commit-Historie — 38 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,38
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .pylintrc, tox.ini
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
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_filesMakefile
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/7 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes22.499
source_files_sampled7
oversized_source_files0

Eckdaten

785GitHub-Sterne
18Mitwirkende
0Commits, letzte 12 Monate
783Tage seit letztem Push
3Releases
1Bus-Faktor
11offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Community profile unavailable
  • No resolved dependencies carried a version and a supported ecosystem

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 85 ⇿
0Sterne
85Forks
3Releases

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.

0204060801008522014-072020-022025-10
Major 2Minor 1Patch 0

Jeder Punkt umfasst 11 Tage.

OpenSSF Scorecard 3.8 / 10
3.8Gesamtwert

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 · 2026-07-28 14:46 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
0CI-Tests0 out of 14 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 9/26 approved changesets -- score normalized to 3
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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 1

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 1 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIimportlib-metadataindirekt
Abhängigkeits-Advisories nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem

JSON-Rohbericht maschinenlesbar
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      "languages": {
        "Python": 42055,
        "Makefile": 410
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      "pushed_at": "2024-06-05T07:50:35Z",
      "created_at": "2012-03-08T21:20:50Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-21T10:36:09Z",
      "description": "A Munch is a Python dictionary that provides attribute-style access (a la JavaScript objects).",
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          "body": null,
          "is_bot": false,
          "headline": "remove dependabot",
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          "is_bot": false,
          "headline": "Update changelog for 4.0.0",
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          "committed_at": "2023-07-01T09:47:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bb4681bf505196f953c19a3f91b3f1897f17bdec",
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          "is_bot": false,
          "headline": "remove six dependency (#97)",
          "author_name": "David Sternlicht",
          "author_login": "d1618033",
          "committed_at": "2023-07-01T09:39:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "13c503d5619177ec22aca27937bd69fcfffb8a5e",
          "body": "* issue-76: Update README with installation instructions\r\n\r\n* issue-76: remove travis",
          "is_bot": false,
          "headline": "issue-76: Update README with installation instructions (#95)",
          "author_name": "David Sternlicht",
          "author_login": "d1618033",
          "committed_at": "2023-05-14T12:42:48Z",
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          "author_login": "d1618033",
          "committed_at": "2023-05-14T12:26:47Z",
          "body_truncated": false,
          "is_coding_agent": false
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        {
          "oid": "013ebcae8b232e8c4d1f316fb57077fb0e43eb29",
          "body": null,
          "is_bot": false,
          "headline": "Create python-publish.yml",
          "author_name": "David Sternlicht",
          "author_login": "d1618033",
          "committed_at": "2023-05-14T10:50:26Z",
          "body_truncated": false,
          "is_coding_agent": false
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        {
          "oid": "ac45751320a5f5db17d5b3372b21b9e4c5dd6c60",
          "body": null,
          "is_bot": false,
          "headline": "issue-91: Fix munchify for tuples of lists (#93)",
          "author_name": "David Sternlicht",
          "author_login": "d1618033",
          "committed_at": "2023-02-05T09:21:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "28c1256e76c00f42aa9315015283f0bba8819c4c",
          "body": "Add a Dependabot configuration that checks once a week if the GitHub Actions are still using the latest version. If not, it opens a PR to update them.\r\n\r\nIt will actually open very few PRs, since we only have major versions specified (like v3), so only on a major v4 release it will update and open a PR.\r\n\r\nSee https://docs.github.com/en/code-security/dependabot/working-with-dependabot/keeping-your-actions-up-to-date-with-dependabot",
          "is_bot": false,
          "headline": "Add Dependabot configuration for GitHub Actions updates (#90)",
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          "oid": "d9cfeac3d770be37f49dcf4a53379d08a7d28acf",
          "body": "* add upgrade pip and build tools\r\n\r\n* fix test readme\r\n\r\n* Install yaml too, remove skip older python versions\r\n\r\n* fix req\r\n\r\n* Install yaml for tests\r\n\r\n* restrict branches\r\n\r\n* remove unused import",
          "is_bot": false,
          "headline": "Fix CI (#89)",
          "author_name": "David Sternlicht",
          "author_login": "d1618033",
          "committed_at": "2022-10-24T07:41:01Z",
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          "oid": "fd5a3db49cd3971a16fdfa86377ed14f5811163c",
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          "is_bot": false,
          "headline": "Require Python >=3.6 and upgrade syntax (#87)",
          "author_name": "Ewout ter Hoeven",
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          "committed_at": "2022-10-24T06:50:53Z",
          "body_truncated": false,
          "is_coding_agent": false
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        {
          "oid": "098ca90ba8a6108a39f213d88825a53f4ef0836f",
          "body": "* CI: Add pylint job\r\n\r\n* CI: Install testing optional dependencies from setup.cfg\r\n\r\nInstall the testing dependencies from setup.cfg, including pylint, which makes sure the right version of pylint is installed",
          "is_bot": false,
          "headline": "CI: Add pylint job (#88)",
          "author_name": "Ewout ter Hoeven",
          "author_login": "EwoutH",
          "committed_at": "2022-10-19T05:00:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5d63a9ee4938160f5ce6a4c271da707b13ff9c6f",
          "body": "Fix https://github.com/Infinidat/munch/issues/81\r\n\r\nCo-authored-by: David Sternlicht <d1618033@gmail.com>",
          "is_bot": false,
          "headline": "Update __init__.py (#82)",
          "author_name": "Maxime Boissonneault",
          "author_login": "mboisson",
          "committed_at": "2022-10-18T16:23:37Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c72b51bb961b3e7c1f58776d0b68a88654b5f3fa",
          "body": "* #75 Allow importing even when VERSION read fails\r\n\r\nSometimes the contents of `importlib_metadata.version(__name__)` do not only contain numbers. Sometimes `importlib_metadata.version(__name__)` fails completely.\r\n\r\nI observed that on pipenv/Google AppEngine Python 2.7.\r\n\r\nThis PR sets VERSION to \n[…]\ntlib_metadata.version fails\r\n\r\nCo-authored-by: Daniel Gillet <dan.gillet737@gmail.com>\r\n\r\nCo-authored-by: David Sternlicht <d1618033@gmail.com>\r\nCo-authored-by: Daniel Gillet <dan.gillet737@gmail.com>",
          "is_bot": false,
          "headline": "#75 Allow importing even when VERSION read fails (#77)",
          "author_name": "Maximillian Dornseif",
          "author_login": "mdornseif",
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                "key": "openssf_scorecard_contributors",
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                "key": "verified_domain",
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                "key": "owner_reach",
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                "key": "track_record",
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                    "code": "account_age_years",
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            "key": "package_maintenance",
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            "name": "Package maintenance",
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              "ecosystems": "pypi",
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                "key": "published_resolvable",
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                "key": "publish_recency",
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                "key": "version_history",
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                "key": "not_deprecated",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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                "key": "linter_config",
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                "key": "openssf_scorecard_ci_tests",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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                "key": "code_review",
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                "key": "contributors",
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              {
                "key": "dangerous_workflow",
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              },
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                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "license",
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                "key": "maintained",
                "name": "Maintained",
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                "key": "packaging",
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                "key": "sast",
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                "key": "security_policy",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "detail": "detected GitHub workflow tokens with excessive permissions",
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                "status": "missed",
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              {
                "key": "vulnerabilities",
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            ]
          },
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            "value": 100,
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              "review_only_matches": 0,
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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?"
      },
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        "key": "ai_readiness",
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        "weight": 0,
        "metrics": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
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                "key": "machine_readable_docs_llms_txt",
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                "detail": null,
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                "key": "legible_commit_history",
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                "points": 20.3,
                "status": "partial",
                "details": [
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                "max_points": 40
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          },
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            "key": "ai_verify_loop",
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            "notes": [],
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                "key": "one_command_bootstrap",
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                "key": "static_type_checking",
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              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
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              {
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                "detail": "no agent-authored commits among the last 100",
                "points": 0,
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                "max_points": 10
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              {
                "key": "automated_maintenance",
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                "detail": "no automated dependency updates observed",
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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          {
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            "inputs": {
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              "largest_source_bytes": 22499,
              "source_files_sampled": 7,
              "oversized_source_files": 0
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            "components": [
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                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/7 source files over 60KB",
                "points": 55,
                "status": "met",
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                ],
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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"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Community profile unavailable",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-28T14:46:39.521617Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/i/Infinidat/munch.svg",
  "full_name": "Infinidat/munch",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.