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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:27 UTC

psf / cachecontrol

The httplib2 caching algorithms packaged up for use with requests.

PythonEigene Lizenz★ 501 Sterne⑂ 144 Forksseit Juni 2013Auf GitHub ansehen ↗

psf/cachecontrol erreicht einen Gesundheitsindex von 72 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (74/100) ab, am schwächsten bei AI Readiness (52/100). Zuletzt vor 2 Tagen aktualisiert. Ein einzelner Mitwirkender trägt 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

2.380 Follower42 öffentliche Reposseit Mai 2019

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPICacheControl0.14.4-52vor 244 Tagenrequestshttpcachingweb

Metriken nach Kategorie

Vitalität

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

74Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 2 Tagen
15.9/36Commit-Rhythmus — 23/52 Wochen mit Commits
14.8/18Commit-Volumen — 44 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year44
human_commit_share
days_since_last_push2
active_weeks_last_year23
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 10 Releases veröffentlicht
16.2/36Release-Aktualität — letztes Release vor 244 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 99,7 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count10
latest_release_tagv0.14.4
releases_from_tagsnein
days_since_latest_release244
mean_days_between_releases99,7
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?

73Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
43.8/60Stars — 501 Stars
18/25Forks — 144 Forks
6.7/15Watcher — 17 Watcher
Verwendete Eingangsdaten
forks144
stars501
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
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
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
10.7/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 53 % der Commits
13.5/13.5Breite der Beitragenden — 77 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 60 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled77
top_contributor_share0,526
Wie die Bewertung erfolgt
39.2/46.8Issue-Lösungsquote — 84 % der Issues geschlossen
31/38.3PR-Annahme — 224/276 entschiedene PRs gemergt
9/15OpenSSF Scorecard: Code-Review — Found 2/3 approved changesets -- score normalized to 6
Verwendete Eingangsdaten
merged_prs224
open_issues26
closed_issues135
issue_closed_ratio0,839
closed_unmerged_prs52
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
24.3/25Reichweite des Inhabers — 2.380 Follower von psf
23.9/25Kontohistorie — 42 öffentliche Repos, Kontoalter ca. 7 Jahre
Verwendete Eingangsdaten
followers2.380
owner_typeOrganization
is_verified
owner_loginpsf
public_repos42
account_age_days2.620

Paketpflege

91Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
26/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 244 Tagen
20/20Versionshistorie — 52 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesCacheControl
ecosystemspypi
any_deprecatednein
min_days_since_publish244

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

71Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 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
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

74Gut · 16 % des Gesamtindex
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
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
4.5/7.5Code-Review — Found 2/3 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 60 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
7.5/7.5Maintained — 17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7,4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): 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 — Makefile, docs/Makefile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — cachecontrol/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile, docs/Makefile
has_devcontainernein
has_linter_confignein
typecheck_configscachecontrol/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 (cachecontrol/py.typed)
55/55Handhabbare Dateigrößen — 0/31 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes19.022
source_files_sampled31
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

501GitHub-Sterne
77Mitwirkende
44Commits, letzte 12 Monate
2Tage seit letztem Push
10Releases
1Bus-Faktor
26offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 7.4 / 10
7.4Gesamtwert

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 00:26 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/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
6Code-ReviewFound 2/3 approved changesets -- score normalized to 6
10Contributorsproject has 60 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
4Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
5Vulnerabilities5 existing vulnerabilities detected
Direkte Abhängigkeiten 2
RegistryPaketVersionsvorgabeManifest
PyPIrequests>= 2.16.0pyproject.toml
PyPImsgpack>= 0.5.2, < 2.0.0pyproject.toml
Alle Abhängigkeiten 72

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 2 direkte und 70 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPImsgpack1.1.2direkt
PyPIrequests2.33.0direkt
PyPI-indirekt
PyPIaccessible-pygments0.0.5indirekt
PyPIalabaster1.0.0indirekt
PyPIasync-timeout5.0.1indirekt
PyPIautocommand2.2.2indirekt
PyPIbabel2.17.0indirekt
PyPIbackports-tarfile1.2.0indirekt
PyPIbeautifulsoup44.14.2indirekt
PyPIcachecontrol0.14.4indirekt
PyPIcertifi2025.10.5indirekt
PyPIcffi2.0.0indirekt
PyPIcharset-normalizer3.4.4indirekt
PyPIcheroot11.1.2indirekt
PyPIcherrypy18.10.0indirekt
PyPIcodespell2.4.1indirekt
PyPIcolorama0.4.6indirekt
PyPIcoverage7.11.0indirekt
PyPIcryptography48.0.1indirekt
PyPIdocutils0.21.2indirekt
PyPIexceptiongroup1.3.0indirekt
PyPIfilelock3.20.3indirekt
PyPIfuro2025.9.25indirekt
PyPIidna3.15indirekt
PyPIimagesize1.4.1indirekt
PyPIiniconfig2.3.0indirekt
PyPIjaraco-collections5.2.1indirekt
PyPIjaraco-context6.0.1indirekt
PyPIjaraco-functools4.3.0indirekt
PyPIjaraco-text4.0.0indirekt
PyPIjinja23.1.6indirekt
PyPImarkupsafe3.0.3indirekt
PyPImore-itertools10.8.0indirekt
PyPImypy1.18.2indirekt
PyPImypy-extensions1.1.0indirekt
PyPIpackaging25.0indirekt
PyPIpathspec0.12.1indirekt
PyPIpluggy1.6.0indirekt
PyPIportend3.2.1indirekt
PyPIpycparser2.23indirekt
PyPIpygments2.20.0indirekt
PyPIpytest9.0.3indirekt
PyPIpytest-cov7.0.0indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIredis7.0.1indirekt
PyPIroman-numerals-py3.1.0indirekt
PyPIruff0.14.3indirekt
PyPIsetuptools80.9.0indirekt
PyPIsix1.17.0indirekt
PyPIsnowballstemmer3.0.1indirekt
PyPIsoupsieve2.8indirekt
PyPIsphinx8.1.3indirekt
PyPIsphinx8.2.3indirekt
PyPIsphinx-basic-ng1.0.0b2indirekt
PyPIsphinx-copybutton0.5.2indirekt
PyPIsphinxcontrib-applehelp2.0.0indirekt
PyPIsphinxcontrib-devhelp2.0.0indirekt
PyPIsphinxcontrib-htmlhelp2.1.0indirekt
PyPIsphinxcontrib-jsmath1.0.1indirekt
PyPIsphinxcontrib-qthelp2.0.0indirekt
PyPIsphinxcontrib-serializinghtml2.0.0indirekt
PyPItempora5.8.1indirekt
PyPItomli2.3.0indirekt
PyPItypes-cffi1.17.0.20250915indirekt
PyPItypes-pyopenssl24.1.0.20240722indirekt
PyPItypes-redis4.6.0.20241004indirekt
PyPItypes-requests2.32.4.20250913indirekt
PyPItypes-setuptools80.9.0.20250822indirekt
PyPItyping-extensions4.15.0indirekt
PyPIurllib32.7.0indirekt
PyPIzc-lockfile4.0indirekt
JSON-Rohbericht maschinenlesbar
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              "growth_factor_pct": 100,
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                "max_points": 60
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          },
          {
            "key": "community_health",
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            "name": "Community health",
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            "notes": [],
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                "key": "license",
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                "key": "commit_distribution",
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                "key": "openssf_scorecard_contributors",
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          {
            "key": "responsiveness",
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              "merged_prs": 224,
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                "key": "issue_resolution",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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          },
          {
            "key": "stewardship",
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            "notes": [],
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              "followers": 2380,
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            "components": [
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                "key": "ownership_backing",
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                    "code": "owner_organization",
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                ],
                "max_points": 30
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              {
                "key": "verified_domain",
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                "points": 0,
                "status": "missed",
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                "max_points": 20
              },
              {
                "key": "owner_reach",
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                "detail": "2,380 followers of psf",
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                ],
                "max_points": 25
              },
              {
                "key": "track_record",
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                "detail": "42 public repos, account ~7 yr old",
                "points": 23.9,
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                  {
                    "code": "public_repos",
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                      "count": 42
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                  {
                    "code": "account_age_years",
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                      "years": 7
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                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
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            "notes": [],
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            "inputs": {
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              "ecosystems": "pypi",
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            "components": [
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                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
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                "max_points": 25
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              {
                "key": "publish_recency",
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                "max_points": 35
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              {
                "key": "version_history",
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                "points": 20,
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                "details": [
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                "key": "not_deprecated",
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                "points": 20,
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                "details": [
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                "max_points": 20
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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": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 71,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
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              "has_editorconfig": false,
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "3 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 3
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                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
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                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
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              },
              {
                "key": "pre_commit_hooks",
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              },
              {
                "key": "editorconfig",
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                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
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          },
          {
            "key": "documentation",
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            "notes": [],
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            "inputs": {
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              "homepage": null,
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            "components": [
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              {
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              {
                "key": "documentation_homepage_site",
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              {
                "key": "repository_description",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
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              {
                "code": "weights_renormalized",
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            ],
            "value": 74,
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            "components": [
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                "key": "binary_artifacts",
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              {
                "key": "branch_protection",
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              {
                "key": "ci_tests",
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              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
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                "details": [],
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              },
              {
                "key": "code_review",
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                "key": "contributors",
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                "detail": "project has 60 contributing companies or organizations",
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
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                "details": [],
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "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": "17 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
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              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "all dependencies are pinned",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is run on all commits",
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                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
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                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "status": "excluded",
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                    "params": {}
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                ],
                "max_points": 7.5
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              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "GitHub workflow tokens follow principle of least privilege",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "5 existing vulnerabilities detected",
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                "status": "partial",
                "details": [],
                "max_points": 7.5
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
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              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 7
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            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
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                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 52,
        "weight": 0,
        "metrics": [
          {
            "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",
                "params": {}
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            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "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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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 84,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
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              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
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              "has_devcontainer": false,
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              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile, docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, docs/Makefile"
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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."
      }
    ],
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  "report_type": "repository",
  "generated_at": "2026-07-17T00:27:19.461789Z",
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}

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 v0.11.0 — vollständige Methodik · Metriken-Wiki.

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