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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-24 02:11 UTC

SampleEnvironment / secop-ophyd

Integration of the SECoP field layer onto ophyd

PythonGPL-3.0★ 2 Sterne⑂ 1 Forkseit Okt. 2023Auf GitHub ansehen ↗

SampleEnvironment/secop-ophyd erreicht einen Gesundheitsindex von 59 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (87/100) ab, am schwächsten bei Community & Adoption (24/100). Zuletzt vor 6 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

59
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.

59
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 Follower15 öffentliche Reposseit Juli 2017

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIsecop-ophyd0.19.3-19vor 9 Tagen

Metriken nach Kategorie

Vitalität

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

77Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 6 Tagen
10.4/36Commit-Rhythmus — 15/52 Wochen mit Commits
13.1/18Commit-Volumen — 28 Commits im letzten Jahr
2/10OpenSSF Scorecard: Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
Verwendete Eingangsdaten
commits_last_year28
human_commit_share1
days_since_last_push6
active_weeks_last_year15

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 34 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 9 Tagen
27/27Release-Rhythmus — ein Release etwa alle 31,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count34
latest_release_tagv0.19.3
releases_from_tagsnein
days_since_latest_release9
mean_days_between_releases31,6
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?

24Kritisch · 18 % des Gesamtindex
Wie die Bewertung erfolgt
0/60Stars — 2 Stars
0/25Forks — 1 Forks
1.7/15Watcher — 3 Watcher
Verwendete Eingangsdaten
forks1
stars2
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (GPL-3.0)
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?

52Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits
1.4/13.5Breite der Beitragenden — 1 Beitragende
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Verwendete Eingangsdaten
bus_factor1
contributors_sampled1
top_contributor_share1
Wie die Bewertung erfolgt
27.5/46.8Issue-Lösungsquote — 59 % der Issues geschlossen
36.6/38.3PR-Annahme — 45/47 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs45
open_issues7
closed_issues10
issue_closed_ratio0,588
closed_unmerged_prs2
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
3.4/25Reichweite des Inhabers — 2 Follower von SampleEnvironment
20.8/25Kontohistorie — 15 öffentliche Repos, Kontoalter ca. 9 Jahre
Verwendete Eingangsdaten
followers2
owner_typeOrganization
is_verified
owner_loginSampleEnvironment
public_repos15
account_age_days3.300

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 9 Tagen
20/20Versionshistorie — 19 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagessecop-ophyd
ecosystemspypi
any_deprecatednein
min_days_since_publish9

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

87Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 1 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .flake8
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 24 out of 25 merged PRs checked by a CI test -- score normalized to 9
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://sampleenvironment.github.io/secop-ophyd/
10/10Repository-Beschreibung
0/10Topics
0/10Wiki
Verwendete Eingangsdaten
topics
has_wikinein
homepagehttps://sampleenvironment.github.io/secop-ophyd/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

52Mittel · 16 % des Gesamtindex

Sicherheitslage

40Gefährdet
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 — 24 out of 25 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
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
1.5/7.5Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
0/25Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages152
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 152 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.

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.

56Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
22.4/40Lesbare Commit-Historie — 42 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,42
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile, makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .flake8
11/11Statische Typprüfung — .mypy.ini
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesdocs/Makefile, makefile
has_devcontainernein
has_linter_configja
typecheck_configs.mypy.ini
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (.mypy.ini)
55/55Handhabbare Dateigrößen — 0/28 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes37.296
source_files_sampled28
oversized_source_files0

Eckdaten

2GitHub-Sterne
1Mitwirkende
28Commits, letzte 12 Monate
6Tage seit letztem Push
34Releases
1Bus-Faktor
7offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:secop-ophyd@0.19.3; advisories assessed against the repository dependency graph instead

Weitere Details

OpenSSF Scorecard 4.0 / 10
4.0Gesamtwert

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 · 2026-07-24 02:11 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-Tests24 out of 25 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
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
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 5
RegistryPaketVersionsvorgabeManifest
PyPIophyd-async(>0.18,<=0.19.3)pyproject.toml
PyPIfrappy-core>= 0.20.8pyproject.toml
PyPIblackpyproject.toml
PyPIJinja2pyproject.toml
PyPIautoflakepyproject.toml
Alle Abhängigkeiten 152

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 5 direkte und 147 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIautoflake2.3.3direkt
PyPIblack26.5.1direkt
PyPIfrappy-core0.20.8direkt
PyPIjinja23.1.6direkt
PyPIophyd-async0.19.3direkt
PyPIaccessible-pygments0.0.5indirekt
PyPIalabaster1.0.0indirekt
PyPIannotated-types0.7.0indirekt
PyPIappnope0.1.4indirekt
PyPIast-serialize0.6.0indirekt
PyPIastroid3.3.11indirekt
PyPIasttokens3.0.1indirekt
PyPIattrs26.1.0indirekt
PyPIbabel2.18.0indirekt
PyPIbeautifulsoup44.15.0indirekt
PyPIbluesky1.15.1indirekt
PyPIcertifi2026.6.17indirekt
PyPIcffi2.1.0indirekt
PyPIcfgv3.5.0indirekt
PyPIcharset-normalizer3.4.7indirekt
PyPIclick8.4.2indirekt
PyPIcolorama0.4.6indirekt
PyPIcolorlog6.10.1indirekt
PyPIcomm0.2.3indirekt
PyPIcompress-pickle2.1.0indirekt
PyPIcontourpy1.3.3indirekt
PyPIcoverage7.15.0indirekt
PyPIcycler0.12.1indirekt
PyPIdebugpy1.8.21indirekt
PyPIdecorator5.3.1indirekt
PyPIdistlib0.4.3indirekt
PyPIdocutils0.22.4indirekt
PyPIevent-model1.24.0indirekt
PyPIexecuting2.2.1indirekt
PyPIfilelock3.29.6indirekt
PyPIflake87.3.0indirekt
PyPIflexcache0.3indirekt
PyPIflexparser0.4indirekt
PyPIfonttools4.63.0indirekt
PyPIhistorydict1.2.6indirekt
PyPIidentify2.6.19indirekt
PyPIidna3.18indirekt
PyPIimagesize2.0.0indirekt
PyPIiniconfig2.3.0indirekt
PyPIipykernel7.3.0indirekt
PyPIipython9.15.0indirekt
PyPIipython-pygments-lexers1.1.1indirekt
PyPIisort8.0.1indirekt
PyPIjedi0.20.0indirekt
PyPIjsonschema4.26.0indirekt
PyPIjsonschema-specifications2025.9.1indirekt
PyPIjupyter-client8.9.1indirekt
PyPIjupyter-core5.9.1indirekt
PyPIkiwisolver1.5.0indirekt
PyPIlibrt0.12.0indirekt
PyPIlockfile0.12.2indirekt
PyPIlz44.4.5indirekt
PyPImarkdown-it-py4.2.0indirekt
PyPImarkupsafe3.0.3indirekt
PyPImatplotlib3.11.0indirekt
PyPImatplotlib-inline0.2.2indirekt
PyPImccabe0.7.0indirekt
PyPImdit-py-plugins0.6.1indirekt
PyPImdurl0.1.2indirekt
PyPImlzlog0.5.0indirekt
PyPImsgpack1.2.1indirekt
PyPImsgpack-numpy0.4.8indirekt
PyPImypy2.1.0indirekt
PyPImypy-extensions1.1.0indirekt
PyPImyst-parser5.1.0indirekt
PyPInest-asyncio21.7.2indirekt
PyPInetworkx3.6.1indirekt
PyPInodeenv1.10.0indirekt
PyPInumpy2.4.6indirekt
PyPInumpy2.5.1indirekt
PyPInumpydoc1.10.0indirekt
PyPIopentelemetry-api1.43.0indirekt
PyPIophyd1.11.2indirekt
PyPIpackaging26.2indirekt
PyPIparso0.8.7indirekt
PyPIpathspec1.1.1indirekt
PyPIpep8-naming0.15.1indirekt
PyPIpexpect4.9.0indirekt
PyPIpillow12.3.0indirekt
PyPIpint0.25.3indirekt
PyPIplatformdirs4.10.0indirekt
PyPIpluggy1.6.0indirekt
PyPIpre-commit4.6.0indirekt
PyPIprompt-toolkit3.0.52indirekt
PyPIpsutil7.2.2indirekt
PyPIptyprocess0.7.0indirekt
PyPIpure-eval0.2.3indirekt
PyPIpycodestyle2.14.0indirekt
PyPIpycparser3.0indirekt
PyPIpydantic2.13.4indirekt
PyPIpydantic-core2.46.4indirekt
PyPIpydantic-numpy8.0.1indirekt
PyPIpydata-sphinx-theme0.19.0indirekt
PyPIpyflakes3.4.0indirekt
PyPIpygments2.20.0indirekt
PyPIpyparsing3.3.2indirekt
PyPIpyserial3.5indirekt
PyPIpytest9.1.1indirekt
PyPIpytest-asyncio1.4.0indirekt
PyPIpytest-cov7.1.0indirekt
PyPIpytest-xprocess1.0.2indirekt
PyPIpython-daemon3.1.2indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpython-discovery1.4.3indirekt
PyPIpython-dotenv1.2.2indirekt
PyPIpytokens0.4.1indirekt
PyPIpyyaml6.0.3indirekt
PyPIpyzmq27.1.0indirekt
PyPIreferencing0.37.0indirekt
PyPIrequests2.34.2indirekt
PyPIroman-numerals4.1.0indirekt
PyPIrpds-py2026.6.3indirekt
PyPIruamel-yaml0.18.17indirekt
PyPIruamel-yaml-clib0.2.15indirekt
PyPIscanspec1.0.0indirekt
PyPIsemver3.0.4indirekt
PyPIsix1.17.0indirekt
PyPIsnowballstemmer3.1.1indirekt
PyPIsoupsieve2.8.4indirekt
PyPIsphinx9.0.4indirekt
PyPIsphinx9.1.0indirekt
PyPIsphinx-autodoc20.5.0indirekt
PyPIsphinx-click6.2.0indirekt
PyPIsphinx-copybutton0.5.2indirekt
PyPIsphinx-design0.7.0indirekt
PyPIsphinxcontrib-applehelp2.0.0indirekt
PyPIsphinxcontrib-devhelp2.0.0indirekt
PyPIsphinxcontrib-htmlhelp2.1.0indirekt
PyPIsphinxcontrib-jsmath1.0.1indirekt
PyPIsphinxcontrib-mermaid2.0.2indirekt
PyPIsphinxcontrib-qthelp2.0.0indirekt
PyPIsphinxcontrib-serializinghtml2.0.0indirekt
PyPIstack-data0.6.3indirekt
PyPIstamina26.1.0indirekt
PyPItenacity9.1.4indirekt
PyPItomli2.4.1indirekt
PyPItoolz1.1.0indirekt
PyPItornado6.5.7indirekt
PyPItqdm4.68.4indirekt
PyPItraitlets5.15.1indirekt
PyPItyping-extensions4.16.0indirekt
PyPItyping-inspection0.4.2indirekt
PyPIurllib32.7.0indirekt
PyPIvelocity-profile1.0.0indirekt
PyPIvirtualenv21.6.0indirekt
PyPIwcwidth0.8.2indirekt
PyPIwheel0.47.0indirekt
Abhängigkeits-Advisories 0

Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 152 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 0 tragen bekannte Advisories, davon 0 direkte.

Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.

Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.

JSON-Rohbericht maschinenlesbar
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      "languages": {
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        "Python": 254267,
        "Makefile": 533
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      "pushed_at": "2026-07-17T09:15:39Z",
      "created_at": "2023-10-02T15:24:27Z",
      "owner_type": "Organization",
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                "key": "ownership_backing",
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                "key": "verified_domain",
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                "key": "owner_reach",
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                "key": "track_record",
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            "key": "package_maintenance",
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            "note": null,
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              "ecosystems": "pypi",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "license",
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                "detail": "license file detected",
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                "key": "maintained",
                "name": "Maintained",
                "detail": "3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2",
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              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "key": "sast",
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                "key": "security_policy",
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              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "details": [
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                "max_points": 7.5
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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            ]
          },
          {
            "key": "dependency_advisories",
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            "notes": [
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                "code": "excluded_no_data",
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              {
                "code": "weights_renormalized",
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              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 152
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              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
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              {
                "code": "advisories_reachability",
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            ],
            "value": 100,
            "inputs": {
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              "assessed_packages": 152,
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              "affected_by_severity": "none",
              "direct_affected_packages": 0
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            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
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                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
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                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
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                "max_points": 40
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          },
          {
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            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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              "packages": [],
              "red_flag": false,
              "assessed_packages": 152,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
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                  {
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                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "name": "High-Risk Jurisdiction Exposure",
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            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
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                "Iran",
                "North Korea"
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              "assessed_self_published_locations": 1
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                "status": "met",
                "details": [
                  {
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                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
        "value": 56,
        "weight": 0,
        "metrics": [
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            "notes": [],
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            "inputs": {
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              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
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                "key": "machine_readable_docs_llms_txt",
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                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
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                "status": "partial",
                "details": [
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                    "code": "legible_history",
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                      "sampled": 100
                    }
                  }
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                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
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            "notes": [],
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            "inputs": {
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              "has_tests": true,
              "lockfiles": [
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              "typed_language": false,
              "bootstrap_files": [
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                "makefile"
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              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
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              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
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            "components": [
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                "status": "met",
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                  }
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                "max_points": 18
              },
              {
                "key": "automated_tests",
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                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
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                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
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                "points": 11,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                      "files": ".mypy.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
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              "largest_source_bytes": 37296,
              "source_files_sampled": 28,
              "oversized_source_files": 0
            },
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              {
                "key": "type_checkable_code",
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                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
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                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/28 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 28,
                      "oversized": 0
                    }
                  }
                ],
                "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:secop-ophyd@0.19.3; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-24T02:11:58.133797Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/SampleEnvironment/secop-ophyd.svg",
  "full_name": "SampleEnvironment/secop-ophyd",
  "license_state": "standard",
  "license_spdx": "GPL-3.0"
}

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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.

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