Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 2.3.1 · 2026-07-26 08:56 UTC

openscm / openscm-runner

Thin wrapper to run simple climate models (emissions driven runs only)

PythonBSD-3-Clause★ 16 Sterne⑂ 12 Forksseit März 2020Auf GitHub ansehen ↗

openscm/openscm-runner erreicht einen Gesundheitsindex von 51 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (80/100) ab, am schwächsten bei Vitality (33/100). Zuletzt vor 23 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

51
gesamt / 100
Mittel

Software-Gesundheitsindex

Metriken werden auf einer standardisierten Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr gewichtetes Mittel, kalibriert auf die Verteilung des öffentlichen Registers, sodass die Stufen Perzentilbedeutung tragen; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze Gefährdet von 34.

51
Außergewöhnlich93-100Die Spitzengruppe des Registers (≈ obere 5 %); erfüllt im Wesentlichen alle geprüften Kriterien
Exzellent80-92Durchgehend stark; geringfügige Lücken
Gut65-79Gesund; Lücken sind begrenzt und beherrschbar
Mittel50-64Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Schwach35-49Wesentliche Schwächen in mehreren Bereichen
Gefährdet20-34Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-19Schwerwiegende 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.

Der gewichtete Gesamtwert 51 wird auf der veröffentlichten Indexskala auf 51 kalibriert (Register-Kalibrierung 2026-08-02).

Eigentümerschaft

OpenSCMOrganisation
21 Follower15 öffentliche Reposseit März 2020

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIopenscm-runner0.13.0-29vor 907 Tagenopenscmrunnerpythonsimpleclimatemodel

Metriken nach Kategorie

Vitalität

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

33Gefährdet · 21 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 23 Tagen
0/36Commit-Rhythmus — 0/52 Wochen mit Commits
0/18Commit-Volumen — 0 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year0
human_commit_share1
days_since_last_push23
active_weeks_last_year0
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 1 Releases veröffentlicht
0/36Release-Aktualität — letztes Release vor 907 Tagen
12.6/27Release-Rhythmus — Rhythmus unbekannt (nur ein Release)
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count1
latest_release_tagv0.13.0
releases_from_tagsnein
days_since_latest_release907
mean_days_between_releases

Community & Verbreitung

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

43Schwach · 17 % des Gesamtindex
Wie die Bewertung erfolgt
19.1/60Stars — 16 Stars
8.7/25Forks — 12 Forks
3.3/15Watcher — 5 Watcher
Verwendete Eingangsdaten
forks12
stars16
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
readme_badges
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
readme_badge_services
has_pull_request_templateja

Nachhaltigkeit & Governance

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

54Mittel · 23 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
10.6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 53 % der Commits
9.5/13.5Breite der Beitragenden — 7 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled7
top_contributor_share0,53
Wie die Bewertung erfolgt
14.7/42Issue-Lösungsquote — 35 % der Issues geschlossen
25.4/30PR-Annahme — 71/84 entschiedene PRs gemergt
0/13Newcomer PR acceptance — kein PR eines Erstbeitragenden in 30 Tagen entschieden
7.5/15OpenSSF Scorecard: Code-Review — Found 3/6 approved changesets -- score normalized to 5
Verwendete Eingangsdaten
merged_prs71
open_issues13
closed_issues7
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0,35
closed_unmerged_prs13
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): newcomer_pr_acceptance. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
9.7/25Reichweite des Inhabers — 21 Follower von openscm
20.8/25Kontohistorie — 15 öffentliche Repos, Kontoalter ca. 6 Jahre
Verwendete Eingangsdaten
followers21
owner_typeOrganization
is_verified
owner_loginopenscm
public_repos15
account_age_days2.320
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
4/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 907 Tagen
20/20Versionshistorie — 29 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesopenscm-runner
ecosystemspypi
any_deprecatednein
min_days_since_publish907

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

80Exzellent · 19 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 5 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .pylintrc
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 4 merged PRs checked by a CI test -- score normalized to 0
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://openscm-runner.readthedocs.io/
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepagehttps://openscm-runner.readthedocs.io/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

42Schwach · 16 % des Gesamtindex

Sicherheitslage

27Gefährdet
Wie die Bewertung erfolgt
6/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — keine Daten
0/2.5CI-Tests — 0 out of 4 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 3/6 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 7 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — keine Daten
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 100 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging. Die verbleibenden Gewichte wurden renormalisiert.

Abhängigkeits-Advisories

100Außergewöhnlich
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages18
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:openscm-runner@0.13.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 18 Paketen. Erreichbarkeit wird nicht analysiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Trägt ein bewusst kleines Gewicht (4 %): Agenten-Tooling ist ein echtes Pflegesignal, doch ein Repository ohne jedes Signal kann weiterhin 100/100 erreichen.

52Mittel · 4 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
9.1/40Lesbare Commit-Historie — 17 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,17
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile, docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .pylintrc
11/11Statische Typprüfung — src/openscm_runner/py.typed
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
lockfilespoetry.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile, docs/Makefile
has_devcontainernein
has_linter_configja
typecheck_configssrc/openscm_runner/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/openscm_runner/py.typed)
55/55Handhabbare Dateigrößen — 0/61 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes20.925
source_files_sampled61
oversized_source_files0

Eckdaten

16GitHub-Sterne
7Mitwirkende
0Commits, letzte 12 Monate
23Tage seit letztem Push
1Releases
1Bus-Faktor
13offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 12 ⇿
0Sterne
12Forks
1Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

0246810121212020-042023-042026-05
Major 0Minor 1Patch 0

Jeder Punkt umfasst 6 Tage.

OpenSSF Scorecard 2.7 / 10
2.7Gesamtwert

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 · 2026-07-26 08:56 UTC

8Binary-Artifactsbinaries present in source code
k. A.Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
0CI-Tests0 out of 4 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 3/6 approved changesets -- score normalized to 5
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities100 existing vulnerabilities detected
Direkte Abhängigkeiten 10
RegistryPaketVersionsvorgabeManifest
PyPIopenscm-units>=0.5.0pyproject.toml
PyPIpython-dotenv^1.0.0pyproject.toml
PyPIscmdata>=0.7.4pyproject.toml
PyPItqdm^4.66.1pyproject.toml
PyPIciceroscm1.1.1pyproject.toml
PyPIfair<2pyproject.toml
PyPIpymagicc<3pyproject.toml
PyPInotebook*pyproject.toml
PyPIseaborn^0.13.1pyproject.toml
PyPIipywidgets^8.1.1pyproject.toml
Alle Abhängigkeiten 184

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 10 direkte und 174 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIciceroscm1.1.1direkt
PyPIfair1.6.4direkt
PyPIipywidgets8.1.1direkt
PyPInotebook7.0.7direkt
PyPIopenscm-units0.5.4direkt
PyPIpymagicc2.1.4direkt
PyPIpython-dotenv1.0.1direkt
PyPIscmdata0.17.0direkt
PyPIseaborn0.13.2direkt
PyPItqdm4.66.1direkt
PyPIaccessible-pygments0.0.4indirekt
PyPIalabaster0.7.16indirekt
PyPIanyio4.2.0indirekt
PyPIappnope0.1.3indirekt
PyPIargon2-cffi23.1.0indirekt
PyPIargon2-cffi-bindings21.2.0indirekt
PyPIarrow1.3.0indirekt
PyPIasttokens2.4.1indirekt
PyPIasync-lru2.0.4indirekt
PyPIattrs23.2.0indirekt
PyPIbabel2.14.0indirekt
PyPIbeautifulsoup44.12.3indirekt
PyPIbleach6.1.0indirekt
PyPIcertifi2023.11.17indirekt
PyPIcffi1.16.0indirekt
PyPIcfgv3.4.0indirekt
PyPIcftime1.6.3indirekt
PyPIcharset-normalizer3.3.2indirekt
PyPIclick8.1.7indirekt
PyPIcolorama0.4.6indirekt
PyPIcomm0.2.1indirekt
PyPIcontourpy1.2.0indirekt
PyPIcoverage7.4.1indirekt
PyPIcycler0.12.1indirekt
PyPIdebugpy1.8.0indirekt
PyPIdecorator5.1.1indirekt
PyPIdefusedxml0.7.1indirekt
PyPIdistlib0.3.8indirekt
PyPIdocutils0.19indirekt
PyPIet-xmlfile1.1.0indirekt
PyPIexceptiongroup1.2.0indirekt
PyPIexecuting2.0.1indirekt
PyPIf90nml1.4.4indirekt
PyPIfastjsonschema2.19.1indirekt
PyPIfilelock3.13.1indirekt
PyPIfonttools4.47.2indirekt
PyPIfqdn1.5.1indirekt
PyPIglobalwarmingpotentials0.9.4indirekt
PyPIgreenlet3.0.3indirekt
PyPIiam-units2023.9.12indirekt
PyPIidentify2.5.33indirekt
PyPIidna3.6indirekt
PyPIimagesize1.4.1indirekt
PyPIimportlib-metadata7.0.1indirekt
PyPIimportlib-resources6.1.1indirekt
PyPIincremental22.10.0indirekt
PyPIiniconfig2.0.0indirekt
PyPIipykernel6.29.0indirekt
PyPIipython8.18.1indirekt
PyPIisoduration20.11.0indirekt
PyPIjedi0.19.1indirekt
PyPIjinja23.1.3indirekt
PyPIjson50.9.14indirekt
PyPIjsonpointer2.4indirekt
PyPIjsonschema4.21.1indirekt
PyPIjsonschema-specifications2023.12.1indirekt
PyPIjupyter-cache0.6.1indirekt
PyPIjupyter-client8.6.0indirekt
PyPIjupyter-core5.7.1indirekt
PyPIjupyter-events0.9.0indirekt
PyPIjupyter-lsp2.2.2indirekt
PyPIjupyter-server2.12.5indirekt
PyPIjupyter-server-terminals0.5.2indirekt
PyPIjupyterlab4.0.11indirekt
PyPIjupyterlab-pygments0.3.0indirekt
PyPIjupyterlab-server2.25.2indirekt
PyPIjupyterlab-widgets3.0.9indirekt
PyPIjupytext1.16.1indirekt
PyPIkiwisolver1.4.5indirekt
PyPIliccheck0.9.2indirekt
PyPImarkdown-it-py2.2.0indirekt
PyPImarkupsafe2.1.4indirekt
PyPImatplotlib3.8.2indirekt
PyPImatplotlib-inline0.1.6indirekt
PyPImdit-py-plugins0.3.5indirekt
PyPImdurl0.1.2indirekt
PyPImistune3.0.2indirekt
PyPImypy1.8.0indirekt
PyPImypy-extensions1.0.0indirekt
PyPImyst-nb0.17.2indirekt
PyPImyst-parser0.18.1indirekt
PyPInbclient0.7.4indirekt
PyPInbconvert7.14.2indirekt
PyPInbformat5.9.2indirekt
PyPInest-asyncio1.6.0indirekt
PyPInodeenv1.8.0indirekt
PyPInotebook-shim0.2.3indirekt
PyPInumpy1.26.3indirekt
PyPIopenpyxl3.1.2indirekt
PyPIoverrides7.7.0indirekt
PyPIpackaging23.2indirekt
PyPIpandas2.2.0indirekt
PyPIpandas-datapackage-reader0.18.0indirekt
PyPIpandocfilters1.5.1indirekt
PyPIparso0.8.3indirekt
PyPIpexpect4.9.0indirekt
PyPIpillow10.2.0indirekt
PyPIpint0.23indirekt
PyPIpint-pandas0.5indirekt
PyPIplatformdirs4.1.0indirekt
PyPIpluggy1.4.0indirekt
PyPIpre-commit3.6.0indirekt
PyPIprometheus-client0.19.0indirekt
PyPIprompt-toolkit3.0.43indirekt
PyPIpsutil5.9.8indirekt
PyPIptyprocess0.7.0indirekt
PyPIpure-eval0.2.2indirekt
PyPIpyam-iamc1.2.0indirekt
PyPIpycparser2.21indirekt
PyPIpydata-sphinx-theme0.15.2indirekt
PyPIpygments2.17.2indirekt
PyPIpyparsing3.1.1indirekt
PyPIpytest7.4.4indirekt
PyPIpytest-cov4.1.0indirekt
PyPIpytest-datadir1.5.0indirekt
PyPIpytest-regressions2.5.0indirekt
PyPIpython-dateutil2.8.2indirekt
PyPIpython-json-logger2.0.7indirekt
PyPIpytz2023.4indirekt
PyPIpywin32306indirekt
PyPIpywinpty2.0.12indirekt
PyPIpyyaml6.0.1indirekt
PyPIpyzmq25.1.2indirekt
PyPIreferencing0.33.0indirekt
PyPIrequests2.31.0indirekt
PyPIrfc3339-validator0.1.4indirekt
PyPIrfc3986-validator0.1.1indirekt
PyPIrpds-py0.17.1indirekt
PyPIruff0.1.15indirekt
PyPIscipy1.12.0indirekt
PyPIsemantic-version2.10.0indirekt
PyPIsend2trash1.8.2indirekt
PyPIsetuptools69.0.3indirekt
PyPIsetuptools-scm8.0.4indirekt
PyPIsix1.16.0indirekt
PyPIsniffio1.3.0indirekt
PyPIsnowballstemmer2.2.0indirekt
PyPIsoupsieve2.5indirekt
PyPIsphinx5.3.0indirekt
PyPIsphinx-autodoc-typehints1.23.0indirekt
PyPIsphinx-autodocgen1.3indirekt
PyPIsphinx-book-theme1.1.0indirekt
PyPIsphinx-copybutton0.5.2indirekt
PyPIsphinxcontrib-applehelp1.0.8indirekt
PyPIsphinxcontrib-devhelp1.0.6indirekt
PyPIsphinxcontrib-htmlhelp2.0.5indirekt
PyPIsphinxcontrib-jsmath1.0.1indirekt
PyPIsphinxcontrib-qthelp1.0.7indirekt
PyPIsphinxcontrib-serializinghtml1.1.10indirekt
PyPIsqlalchemy2.0.25indirekt
PyPIstack-data0.6.3indirekt
PyPItabulate0.9.0indirekt
PyPIterminado0.18.0indirekt
PyPItinycss21.2.1indirekt
PyPItoml0.10.2indirekt
PyPItomli2.0.1indirekt
PyPItornado6.4indirekt
PyPItowncrier23.11.0indirekt
PyPItraitlets5.14.1indirekt
PyPItypes-python-dateutil2.8.19.20240106indirekt
PyPItyping-extensions4.9.0indirekt
PyPItzdata2023.4indirekt
PyPIuri-template1.3.0indirekt
PyPIurllib32.1.0indirekt
PyPIversioneer0.29indirekt
PyPIvirtualenv20.25.0indirekt
PyPIwcwidth0.2.13indirekt
PyPIwebcolors1.13indirekt
PyPIwebencodings0.5.1indirekt
PyPIwebsocket-client1.7.0indirekt
PyPIwidgetsnbextension4.0.9indirekt
PyPIxarray2024.1.1indirekt
PyPIxlrd2.0.1indirekt
PyPIzipp3.17.0indirekt
Abhängigkeits-Advisories 0

Die Installation von pypi:openscm-runner@0.13.0 zieht 18 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.

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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                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "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": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "0 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 not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "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",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "100 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:openscm-runner@0.13.0 runtime dependency closure — what installing the published package pulls in — 18 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:openscm-runner@0.13.0",
                  "assessed": 18
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 18,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "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": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "exceptional",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 18,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "exceptional",
            "name": "High-Risk Jurisdiction Exposure",
            "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": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 6
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "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",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 52,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 9,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.17,
              "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": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "17 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 9.1,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 17,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 72,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile",
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "src/openscm_runner/py.typed"
              ],
              "agent_commit_share": 0,
              "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"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": ".pylintrc",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".pylintrc"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "src/openscm_runner/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/openscm_runner/py.typed"
                    }
                  }
                ],
                "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",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 20925,
              "source_files_sampled": 61,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/openscm_runner/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "src/openscm_runner/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/61 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 61,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "labels": [
        "library"
      ],
      "scores": {
        "library": 6
      },
      "primary": "library",
      "evidence": [
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        }
      ],
      "artifacts": [],
      "confidence": "medium",
      "host_extension": false,
      "runs_as_process": false,
      "consumed_by_code": true
    },
    "metrics_version": "2.3.1"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T08:56:25.611669Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/openscm/openscm-runner.svg",
  "full_name": "openscm/openscm-runner",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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 v2.3.1, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.

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