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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-15 04:02 UTC

nominal-io / nominal-client

Python client for Nominal test data storage & compute

PythonApache-2.0★ 12 Sterne⑂ 3 Forksseit Juli 2024Auf GitHub ansehen ↗

nominal-io/nominal-client erreicht einen Gesundheitsindex von 72 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei Community & Adoption (48/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

72
gesamt / 100
Gut

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.

72
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

NominalOrganisation
34 Follower25 öffentliche Reposseit Okt. 2022

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPInominal1.153.0-208vor 0 Tagen

Metriken nach Kategorie

Vitalität

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

99Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
34.6/36Commit-Rhythmus — 50/52 Wochen mit Commits
18/18Commit-Volumen — 366 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year366
human_commit_share
days_since_last_push0
active_weeks_last_year50

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 3,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tagv1.153.0
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases3,1
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?

48Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
16.9/60Stars — 12 Stars
2.5/25Forks — 3 Forks
3.9/15Watcher — 6 Watcher
Verwendete Eingangsdaten
forks3
stars12
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja

Nachhaltigkeit & Governance

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

77Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
16.4/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 27 % der Commits
13.5/13.5Breite der Beitragenden — 37 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled37
top_contributor_share0,269
Wie die Bewertung erfolgt
46.8/46.8Issue-Lösungsquote — 100 % der Issues geschlossen
33.2/38.3PR-Annahme — 738/849 entschiedene PRs gemergt
12/15OpenSSF Scorecard: Code-Review — Found 26/29 approved changesets -- score normalized to 8
Verwendete Eingangsdaten
merged_prs738
open_issues0
closed_issues2
issue_closed_ratio1
closed_unmerged_prs111
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
11.1/25Reichweite des Inhabers — 34 Follower von nominal-io
17.7/25Kontohistorie — 25 öffentliche Repos, Kontoalter ca. 3 Jahre
Verwendete Eingangsdaten
followers34
owner_typeOrganization
is_verified
owner_loginnominal-io
public_repos25
account_age_days1.358

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 208 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesnominal
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

73Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 7 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://nominal-io.github.io/nominal-client/
10/10Repository-Beschreibung
0/10Topics
0/10Wiki
Verwendete Eingangsdaten
topics
has_wikinein
homepagehttps://nominal-io.github.io/nominal-client/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

50Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 26/29 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 20 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
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
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
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5
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.

52Mittel · 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 — justfile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesjustfile
has_devcontainernein
has_linter_confignein
typecheck_configsnominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed)
54.8/55Handhabbare Dateigrößen — 1/222 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes81.147
source_files_sampled222
oversized_source_files1

Eckdaten

12GitHub-Sterne
37Mitwirkende
366Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
2Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 5.0 / 10
5.0Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-15 04:02 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 26/29 approved changesets -- score normalized to 8
10Contributorsproject has 20 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
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
4Vulnerabilities6 existing vulnerabilities detected
Direkte Abhängigkeiten 17
RegistryPaketVersionsvorgabeManifest
PyPIconjure-python-client>=3.1.0,<4pyproject.toml
PyPIexceptiongroup>=1.3.0pyproject.toml
PyPInominal-api==0.1305.0pyproject.toml
PyPInominal-api-protos==0.1305.0pyproject.toml
PyPItruststore>=0.10.4pyproject.toml
PyPItyping-extensions>=4,<5pyproject.toml
PyPIpandas>=2.0.0pyproject.toml
PyPIpolars>=1.0.0pyproject.toml
PyPIpython-dateutil>=2.8.2pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPIrequests>=2.32.0pyproject.toml
PyPIurllib3>=2.7.0pyproject.toml
PyPIffmpeg-python>=0.2.0pyproject.toml
PyPIclick>=8,<9pyproject.toml
PyPIrich>=14.1.0pyproject.toml
PyPItabulate>=0.9.0,<0.10pyproject.toml
PyPInominal-streaming==0.8.2pyproject.toml
Alle Abhängigkeiten 83

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 17 direkte und 66 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIclick8.3.0direkt
PyPIconjure-python-client3.1.0direkt
PyPIexceptiongroup1.3.0direkt
PyPIffmpeg-python0.2.0direkt
PyPInominal-api0.1305.0direkt
PyPInominal-api-protos0.1305.0direkt
PyPInominal-streaming0.8.2direkt
PyPIpandas2.3.3direkt
PyPIpolars1.34.0direkt
PyPIpython-dateutil2.9.0.post0direkt
PyPIpyyaml6.0.3direkt
PyPIrequests2.32.5direkt
PyPIrich14.2.0direkt
PyPItabulate0.9.0direkt
PyPItruststore0.10.4direkt
PyPItyping-extensions4.15.0direkt
PyPIurllib32.7.0direkt
PyPIbabel2.17.0indirekt
PyPIbackrefs5.9indirekt
PyPIcertifi2025.10.5indirekt
PyPIcharset-normalizer3.4.3indirekt
PyPIcolorama0.4.6indirekt
PyPIcoverage7.10.7indirekt
PyPIet-xmlfile2.0.0indirekt
PyPIfuture1.0.0indirekt
PyPIghp-import2.1.0indirekt
PyPIgoogleapis-common-protos1.75.0indirekt
PyPIgriffe1.14.0indirekt
PyPIgrpcio1.81.1indirekt
PyPIhatchlingindirekt
PyPIidna3.10indirekt
PyPIiniconfig2.1.0indirekt
PyPIjinja23.1.6indirekt
PyPImarkdown3.9indirekt
PyPImarkdown-it-py4.0.0indirekt
PyPImarkupsafe3.0.3indirekt
PyPImdurl0.1.2indirekt
PyPImergedeep1.3.4indirekt
PyPImkdocs1.6.1indirekt
PyPImkdocs-autorefs1.4.3indirekt
PyPImkdocs-click0.9.0indirekt
PyPImkdocs-get-deps0.2.0indirekt
PyPImkdocs-material9.6.21indirekt
PyPImkdocs-material-extensions1.3.1indirekt
PyPImkdocstrings0.30.1indirekt
PyPImkdocstrings-python1.18.2indirekt
PyPImypy1.18.2indirekt
PyPImypy-extensions1.1.0indirekt
PyPInominal1.153.0indirekt
PyPInominalindirekt
PyPInominal-tdms1.143.0indirekt
PyPInominal-video0.1.9indirekt
PyPInptdms1.10.0indirekt
PyPInptdmsindirekt
PyPInumpy2.3.3indirekt
PyPInumpy2.2.6indirekt
PyPIopenpyxl3.1.5indirekt
PyPIpackaging25.0indirekt
PyPIpaginate0.5.7indirekt
PyPIpandas-stubs2.3.2.250926indirekt
PyPIpathspec0.12.1indirekt
PyPIplatformdirs4.5.0indirekt
PyPIpluggy1.6.0indirekt
PyPIpolars-runtime-321.34.0indirekt
PyPIprotobuf6.33.6indirekt
PyPIpygments2.19.2indirekt
PyPIpymdown-extensions10.16.1indirekt
PyPIpytest8.4.2indirekt
PyPIpytest-cov5.0.0indirekt
PyPIpytz2025.2indirekt
PyPIpyyaml-env-tag1.1indirekt
PyPIruff0.12.1indirekt
PyPIsix1.17.0indirekt
PyPItomli2.3.0indirekt
PyPItypes-grpcio1.0.0.20260614indirekt
PyPItypes-protobuf4.25.0.20240417indirekt
PyPItypes-python-dateutil2.9.0.20251008indirekt
PyPItypes-pytz2025.2.0.20250809indirekt
PyPItypes-pyyaml6.0.12.20250915indirekt
PyPItypes-requests2.32.4.20250913indirekt
PyPItypes-tabulate0.9.0.20241207indirekt
PyPItzdata2025.2indirekt
PyPIwatchdog6.0.0indirekt
JSON-Rohbericht maschinenlesbar
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      "pushed_at": "2026-07-14T22:18:56Z",
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    "popularity": {
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      "stars": 12,
      "watchers": 6,
      "open_issues_and_prs": 32
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    "ai_readiness": {
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      "example_dirs": [],
      "has_llms_txt": false,
      "has_dockerfile": false,
      "has_mcp_signal": false,
      "bootstrap_files": [
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      "api_schema_files": [],
      "has_devcontainer": false,
      "typecheck_configs": [
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      "largest_source_bytes": 81147,
      "source_files_sampled": 222,
      "oversized_source_files": 1,
      "agent_instruction_files": [],
      "agent_instruction_max_bytes": null
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    "dependencies": {
      "manifests": [
        "pyproject.toml"
      ],
      "ecosystems": [
        "pypi"
      ],
      "dependencies": [
        {
          "name": "conjure-python-client",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=3.1.0,<4"
        },
        {
          "name": "exceptiongroup",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=1.3.0"
        },
        {
          "name": "nominal-api",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": "==0.1305.0"
        },
        {
          "name": "nominal-api-protos",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
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        },
        {
          "name": "truststore",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=0.10.4"
        },
        {
          "name": "typing-extensions",
          "manifest": "pyproject.toml",
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          "version_constraint": ">=2.0.0"
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          "name": "polars",
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          "ecosystem": "pypi",
          "version_constraint": ">=1.0.0"
        },
        {
          "name": "python-dateutil",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=2.8.2"
        },
        {
          "name": "pyyaml",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=6.0"
        },
        {
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                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
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                "status": "partial",
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                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
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                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
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                "max_points": 7.5
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                "key": "token_permissions",
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                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
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                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
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            "value": 100,
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              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 6
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
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                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
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                ],
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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",
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        "weight": 0,
        "metrics": [
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            "name": "Agent context & guidance",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
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                    "code": "no_agent_instructions",
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                "max_points": 45
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                "key": "machine_readable_docs_llms_txt",
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                "status": "missed",
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                "key": "legible_commit_history",
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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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            "value": 78,
            "inputs": {
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              "has_tests": true,
              "lockfiles": [
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              "bootstrap_files": [
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              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
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                "packages/nominal-tdms/nominal/tdms/py.typed"
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              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
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                "name": "One-command bootstrap",
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                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
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              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
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                "key": "static_type_checking",
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                "detail": "nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed",
                "points": 11,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                "max_points": 11
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              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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": "dependency not pinned by hash detected -- score normalized to 3",
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                "status": "partial",
                "details": [],
                "max_points": 10
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          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
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              "largest_source_bytes": 81147,
              "source_files_sampled": 222,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
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                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed",
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                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/222 source files over 60KB",
                "points": 54.8,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
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                      "sampled": 222,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "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": "2026-07-15T04:02:44.166502Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/nominal-io/nominal-client.svg",
  "full_name": "nominal-io/nominal-client",
  "license_state": "standard",
  "license_spdx": "Apache-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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