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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:42 UTC

ollama / ollama-python

Ollama Python library

PythonMIT★ 10.294 Sterne⑂ 1.111 Forksseit Dez. 2023Auf GitHub ansehen ↗

ollama/ollama-python erreicht einen Gesundheitsindex von 68 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Community & Adoption (75/100) ab, am schwächsten bei AI Readiness (40/100). Zuletzt vor 1 Tag aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

68
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.

68
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

OllamaOrganisation
9.631 Follower4 öffentliche Reposseit Nov. 2023

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIollama0.6.2-35vor 78 Tagen

Metriken nach Kategorie

Vitalität

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

71Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 1 Tagen
9/36Commit-Rhythmus — 13/52 Wochen mit Commits
13/18Commit-Volumen — 27 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year27
human_commit_share
days_since_last_push1
active_weeks_last_year13
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 34 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 78 Tagen
27/27Release-Rhythmus — ein Release etwa alle 42 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count34
latest_release_tagv0.6.2
releases_from_tagsnein
days_since_latest_release78
mean_days_between_releases42

Community & Verbreitung

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

75Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
60/60Stars — 10.294 Stars
25/25Forks — 1.111 Forks
10.5/15Watcher — 78 Watcher
Verwendete Eingangsdaten
forks1.111
stars10.294
watchers78
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_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?

70Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
14.1/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 37 % der Commits
13.5/13.5Breite der Beitragenden — 37 Beitragende
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Verwendete Eingangsdaten
bus_factor2
contributors_sampled37
top_contributor_share0,373
Wie die Bewertung erfolgt
31/46.8Issue-Lösungsquote — 66 % der Issues geschlossen
20.2/38.3PR-Annahme — 155/293 entschiedene PRs gemergt
12/15OpenSSF Scorecard: Code-Review — Found 22/26 approved changesets -- score normalized to 8
Verwendete Eingangsdaten
merged_prs155
open_issues112
closed_issues221
issue_closed_ratio0,664
closed_unmerged_prs138
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 9.631 Follower von ollama
10.4/25Kontohistorie — 4 öffentliche Repos, Kontoalter ca. 2 Jahre
Verwendete Eingangsdaten
followers9.631
owner_typeOrganization
is_verified
owner_loginollama
public_repos4
account_age_days968

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 78 Tagen
20/20Versionshistorie — 35 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesollama
ecosystemspypi
any_deprecatednein
min_days_since_publish78

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

66Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 27 out of 29 merged PRs checked by a CI test -- score normalized to 9
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://ollama.com
10/10Repository-Beschreibung
10/10Topics — 2 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsollama, python
has_wikinein
homepagehttps://ollama.com
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

55Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.2/2.5CI-Tests — 27 out of 29 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 22/26 approved changesets -- score normalized to 8
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — 1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,5
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection. 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.

40Gefährdet · 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
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — ollama/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configsollama/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (ollama/py.typed)
55/55Handhabbare Dateigrößen — 0/41 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes46.241
source_files_sampled41
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

10.294GitHub-Sterne
37Mitwirkende
27Commits, letzte 12 Monate
1Tage seit letztem Push
34Releases
2Bus-Faktor
112offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 5.5 / 10
5.5Gesamtwert

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 00:41 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
9CI-Tests27 out of 29 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 22/26 approved changesets -- score normalized to 8
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direkte Abhängigkeiten 2
RegistryPaketVersionsvorgabeManifest
PyPIhttpx>=0.27pyproject.toml
PyPIpydantic>=2.9pyproject.toml
Alle Abhängigkeiten 15

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 4 direkte und 11 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIhttpxdirekt
PyPIhttpx0.28.1direkt
PyPIpydanticdirekt
PyPIpydantic2.10.6direkt
PyPIannotated-types0.7.0indirekt
PyPIanyio4.5.2indirekt
PyPIanyio4.8.0indirekt
PyPIcertifi2025.1.31indirekt
PyPIexceptiongroup1.2.2indirekt
PyPIh110.14.0indirekt
PyPIhttpcore1.0.7indirekt
PyPIidna3.10indirekt
PyPIpydantic-core2.27.2indirekt
PyPIsniffio1.3.1indirekt
PyPItyping-extensions4.12.2indirekt
JSON-Rohbericht maschinenlesbar
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          {
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
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            "name": "Fuzzing",
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            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
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                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "27 out of 29 merged PRs checked by a CI test -- score normalized to 9",
                "points": 18,
                "status": "partial",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "moderate",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 65,
            "inputs": {
              "topics": [
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              "has_wiki": false,
              "homepage": "https://ollama.com",
              "has_readme": true,
              "has_docs_dir": false,
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            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
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              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://ollama.com",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
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              {
                "key": "repository_description",
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                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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              {
                "key": "topics",
                "name": "Topics",
                "detail": "2 topics",
                "points": 10,
                "status": "met",
                "details": [
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                "max_points": 10
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              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
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                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
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            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
                "params": {}
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            "value": 55,
            "inputs": {
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              "checks_evaluated": 17,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 1,
              "scorecard_aggregate": 5.5
            },
            "components": [
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                "key": "binary_artifacts",
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                "points": 7.5,
                "status": "met",
                "details": [],
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              {
                "key": "branch_protection",
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                "points": 0,
                "status": "excluded",
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              },
              {
                "key": "cii_best_practices",
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                "status": "missed",
                "details": [],
                "max_points": 2.5
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              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 22/26 approved changesets -- score normalized to 8",
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              {
                "key": "contributors",
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                "detail": "project has 2 contributing companies or organizations -- score normalized to 6",
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              {
                "key": "dangerous_workflow",
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                "key": "dependency_update_tool",
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                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
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              {
                "key": "license",
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                "status": "met",
                "details": [],
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              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
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                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
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                "status": "missed",
                "details": [],
                "max_points": 7.5
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              {
                "key": "token_permissions",
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                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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                "points": 6,
                "status": "partial",
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                "max_points": 7.5
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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              "policy_countries": [
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                "Iran",
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              "review_only_matches": 0,
              "assessed_self_published_locations": 4
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            "components": [
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                "key": "policy_exposure_multiplier",
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                "points": 100,
                "status": "met",
                "details": [
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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": "at_risk",
        "name": "AI Readiness",
        "value": 40,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
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              "legible_history_share": null,
              "agent_instruction_files": [],
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            "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
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                "status": "missed",
                "details": [
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                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
                "status": "missed",
                "details": [],
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
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                "params": {}
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            "value": 53,
            "inputs": {
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              "dependency_bot_commit_share": 0
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            "components": [
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              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "params": {}
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                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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                "status": "missed",
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            "notes": [],
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              "oversized_source_files": 0
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                "status": "partial",
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                "points": 55,
                "status": "met",
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                "max_points": 55
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          {
            "key": "ai_interfaces",
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            "notes": [],
            "value": 40,
            "inputs": {
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              "has_mcp_signal": false,
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            },
            "components": [
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                "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",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "runnable_examples",
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                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
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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": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T00:42:10.352491Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/ollama/ollama-python.svg",
  "full_name": "ollama/ollama-python",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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