Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 09:40 UTC
linkml / linkml-model
Link Modeling Language (LinkML) model
linkml/linkml-model erreicht einen Gesundheitsindex von 72 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (85/100) ab, am schwächsten bei AI Readiness (55/100). Zuletzt vor 10 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
72
gesamt / 100Software-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)
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
Linked data Modeling LanguageOrganisation
218 Follower67 öffentliche Reposseit Feb. 2021
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | linkml-model | 1.8.0 | 1.229 | 33 | vor 752 Tagen | linked-datalinkmlmetamodel |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
72
Entwicklungsaktivität
59Mittel
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 10 Tagen |
| 8.3/36 | Commit-Rhythmus — 12/52 Wochen mit Commits |
| 13.3/18 | Commit-Volumen — 29 Commits im letzten Jahr |
| 9/10 | OpenSSF Scorecard: Maintained — 11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9 |
Verwendete Eingangsdaten
| commits_last_year | 29 |
| human_commit_share | 0,97 |
| days_since_last_push | 10 |
| active_weeks_last_year | 12 |
Release-Disziplin
92Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 42 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 73 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 76,1 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 42 |
| latest_release_tag | v1.11.0 |
| releases_from_tags | nein |
| days_since_latest_release | 73 |
| mean_days_between_releases | 76,1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
57
Popularität & Verbreitung
49Gefährdet
Wie die Bewertung erfolgt
| 30.7/60 | Stars — 79 Stars |
| 12.1/25 | Forks — 29 Forks |
| 5.8/15 | Watcher — 12 Watcher |
Verwendete Eingangsdaten
| forks | 29 |
| stars | 79 |
| watchers | 12 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (CC0-1.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Wie die Bewertung erfolgt
| 41.2/80 | Downloads pro Monat — 1.229 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | linkml-model |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 1.229 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
72
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 11.9/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 47 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 22 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 65 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 22 |
| top_contributor_share | 0,473 |
Reaktionsfähigkeit bei Issues & PRs
90Exzellent
Wie die Bewertung erfolgt
| 44.6/46.8 | Issue-Lösungsquote — 96 % der Issues geschlossen |
| 33.2/38.3 | PR-Annahme — 177/204 entschiedene PRs gemergt |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 19/23 approved changesets -- score normalized to 8 |
Verwendete Eingangsdaten
| merged_prs | 177 |
| open_issues | 1 |
| closed_issues | 21 |
| issue_closed_ratio | 0,955 |
| closed_unmerged_prs | 27 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 16.8/25 | Reichweite des Inhabers — 218 Follower von linkml |
| 23.9/25 | Kontohistorie — 67 öffentliche Repos, Kontoalter ca. 5 Jahre |
Verwendete Eingangsdaten
| followers | 218 |
| owner_type | Organization |
| is_verified | — |
| owner_login | linkml |
| public_repos | 67 |
| account_age_days | 1.982 |
Paketpflege
69Mittel
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 4/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 752 Tagen |
| 20/20 | Versionshistorie — 33 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | linkml-model |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 752 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
85
Engineering-Praktiken
92Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 5 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 24 out of 25 merged PRs checked by a CI test -- score normalized to 9 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://linkml.github.io/linkml-model/docs/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 15 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | linkml, semantic-web, json, json-schema, graph-ql, metamodel, yaml, data-integration, metadata, uml, schema-language, data-modeling, shacl, shex, linked-data |
| has_wiki | ja |
| homepage | https://linkml.github.io/linkml-model/docs/ |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
70
Sicherheitslage
62Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.2/2.5 | CI-Tests — 24 out of 25 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 19/23 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 65 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 6.8/7.5 | Maintained — 11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 6/7.5 | Vulnerabilities — 2 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 31 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:linkml-model@1.8.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 31 Paketen. 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.
55
AI-Agentenkontext & Leitlinien
24Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 24.2/40 | Lesbare Commit-Historie — 44 von 97 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,454 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — Dockerfile, lockfile |
| 2/10 | Belegte Agentenpraxis — 1 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 8/8 | Automatisierte Wartung — 3 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | 0,01 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,03 |
AI-Code-Lesbarkeit für Modelle
52Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 52.1/55 | Handhabbare Dateigrößen — 1/19 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 311.261 |
| source_files_sampled | 19 |
| oversized_source_files | 1 |
Wie die Bewertung erfolgt
| 40/40 | API-Schema (OpenAPI/GraphQL/proto) — linkml_model/graphql/meta.graphql, linkml_model/protobuf/meta.proto |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | linkml_model/graphql/meta.graphql, linkml_model/protobuf/meta.proto |
Eckdaten
79GitHub-Sterne
22Mitwirkende
29Commits, letzte 12 Monate
10Tage seit letztem Push
42Releases
2Bus-Faktor
1offene 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 ★ / 29 ⇿
0Sterne
29Forks
34Releases
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.
Major 0Minor 9Patch 9
Jeder Punkt umfasst 5 Tage.
OpenSSF Scorecard 6.2 / 10
6.2Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| k. A. | Branch-Protection | internal 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 |
| 9 | CI-Tests | 24 out of 25 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 19/23 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 65 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 9 | Maintained | 11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 8 | Vulnerabilities | 2 existing vulnerabilities detected |
Direkte Abhängigkeiten 2
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | linkml-runtime | ==1.11.1,<2 | pyproject.toml |
| PyPI | linkml | ==1.11.1 | pyproject.toml |
Alle Abhängigkeiten 115
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 2 direkte und 113 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | linkml | 1.11.1 | direkt |
| PyPI | linkml-runtime | 1.11.1 | direkt |
| PyPI | alabaster | 1.0.0 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | antlr4-python3-runtime | 4.9.3 | indirekt |
| PyPI | arrow | 1.4.0 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | backports-zstd | 1.6.0 | indirekt |
| PyPI | backrefs | 7.0 | indirekt |
| PyPI | beautifulsoup4 | 4.15.0 | indirekt |
| PyPI | certifi | 2026.6.17 | indirekt |
| PyPI | cfgraph | 0.2.1 | indirekt |
| PyPI | chardet | 7.4.3 | indirekt |
| PyPI | charset-normalizer | 3.4.7 | indirekt |
| PyPI | click | 8.4.1 | indirekt |
| PyPI | codespell | 2.4.2 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | curies | 0.13.13 | indirekt |
| PyPI | deprecated | 1.3.1 | indirekt |
| PyPI | docutils | 0.21.2 | indirekt |
| PyPI | docutils | 0.22.4 | indirekt |
| PyPI | editorconfig | 0.17.1 | indirekt |
| PyPI | et-xmlfile | 2.0.0 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | fqdn | 1.5.1 | indirekt |
| PyPI | ghp-import | 2.1.0 | indirekt |
| PyPI | graphviz | 0.21 | indirekt |
| PyPI | greenlet | 3.5.2 | indirekt |
| PyPI | hbreader | 0.9.1 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | imagesize | 2.0.0 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | isodate | 0.7.2 | indirekt |
| PyPI | isoduration | 20.11.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jsbeautifier | 2.0.1 | indirekt |
| PyPI | json-flattener | 0.1.9 | indirekt |
| PyPI | jsonasobj | 1.3.1 | indirekt |
| PyPI | jsonasobj2 | 1.0.4 | indirekt |
| PyPI | jsonpointer | 3.1.1 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | markdown | 3.10.2 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | mergedeep | 1.3.4 | indirekt |
| PyPI | mike | 2.2.0 | indirekt |
| PyPI | mkdocs | 1.6.1 | indirekt |
| PyPI | mkdocs-get-deps | 0.2.2 | indirekt |
| PyPI | mkdocs-material | 9.7.6 | indirekt |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirekt |
| PyPI | mkdocs-mermaid2-plugin | 1.2.3 | indirekt |
| PyPI | openpyxl | 3.1.5 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | paginate | 0.5.7 | indirekt |
| PyPI | parse | 1.22.1 | indirekt |
| PyPI | pathspec | 1.1.1 | indirekt |
| PyPI | platformdirs | 4.10.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | prefixcommons | 0.1.12 | indirekt |
| PyPI | prefixmaps | 0.2.6 | indirekt |
| PyPI | pydantic | 2.13.4 | indirekt |
| PyPI | pydantic-core | 2.46.4 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyjsg | 0.12.4 | indirekt |
| PyPI | pymdown-extensions | 10.21.3 | indirekt |
| PyPI | pyparsing | 3.3.2 | indirekt |
| PyPI | pyshex | 0.9.0 | indirekt |
| PyPI | pyshexc | 0.10.3.post1 | indirekt |
| PyPI | pystow | 0.8.19 | indirekt |
| PyPI | pytest | 9.1.1 | indirekt |
| PyPI | pytest-logging | 2015.11.4 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | pyyaml-env-tag | 1.1 | indirekt |
| PyPI | rdflib | 7.6.0 | indirekt |
| PyPI | rdflib-jsonld | 0.6.1 | indirekt |
| PyPI | rdflib-shim | 1.0.3 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | rfc3339-validator | 0.1.4 | indirekt |
| PyPI | rfc3987 | 1.3.8 | indirekt |
| PyPI | roman-numerals | 4.1.0 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | rpds-py | 2026.5.1 | indirekt |
| PyPI | setuptools | 82.0.1 | indirekt |
| PyPI | shexjsg | 0.9.0 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | snowballstemmer | 3.1.1 | indirekt |
| PyPI | soupsieve | 2.8.4 | indirekt |
| PyPI | sparqlslurper | 0.5.1 | indirekt |
| PyPI | sparqlwrapper | 2.0.0 | indirekt |
| PyPI | sphinx | 8.1.3 | indirekt |
| PyPI | sphinx | 9.0.4 | indirekt |
| PyPI | sphinx | 9.1.0 | indirekt |
| PyPI | sphinx-click | 6.2.0 | indirekt |
| PyPI | sphinxcontrib-applehelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-devhelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-htmlhelp | 2.1.0 | indirekt |
| PyPI | sphinxcontrib-jsmath | 1.0.1 | indirekt |
| PyPI | sphinxcontrib-qthelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-serializinghtml | 2.0.0 | indirekt |
| PyPI | sqlalchemy | 2.0.51 | indirekt |
| PyPI | tomli | 2.4.1 | indirekt |
| PyPI | tqdm | 4.68.3 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | tzdata | 2026.2 | indirekt |
| PyPI | uri-template | 1.3.0 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | verspec | 0.1.0 | indirekt |
| PyPI | watchdog | 6.0.0 | indirekt |
| PyPI | webcolors | 25.10.0 | indirekt |
| PyPI | wrapt | 2.2.2 | indirekt |
| PyPI | yamllint | 1.38.0 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:linkml-model@1.8.0 zieht 31 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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"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (CC0-1.0)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
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],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
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]
},
{
"key": "ecosystem_adoption",
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"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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],
"value": 52,
"inputs": {
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"dependents": null,
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"total_downloads": null,
"monthly_downloads": 1229
},
"components": [
{
"key": "monthly_downloads",
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"detail": "1,229 downloads/month across pypi",
"points": 41.2,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 1229,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
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]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 72,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "moderate",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 61,
"inputs": {
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"contributors_sampled": 22,
"top_contributor_share": 0.473
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "2 contributor(s) cover half of all commits",
"points": 25.2,
"status": "partial",
"details": [
{
"code": "bus_factor",
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"count": 2
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}
],
"max_points": 54
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{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 47% of commits",
"points": 11.9,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 47
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}
],
"max_points": 22.5
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{
"key": "contributor_breadth",
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"detail": "22 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
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"count": 22
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],
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{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 65 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "excellent",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 90,
"inputs": {
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"open_issues": 1,
"closed_issues": 21,
"issue_closed_ratio": 0.955,
"closed_unmerged_prs": 27
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "96% of issues closed",
"points": 44.6,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 96
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "177/204 decided PRs merged",
"points": 33.2,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 177,
"decided": 204
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 19/23 approved changesets -- score normalized to 8",
"points": 12,
"status": "partial",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 71,
"inputs": {
"followers": 218,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "linkml",
"public_repos": 67,
"account_age_days": 1982
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
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{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "218 followers of linkml",
"points": 16.8,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 218,
"login": "linkml"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "67 public repos, account ~5 yr old",
"points": 23.9,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 67
}
},
{
"code": "account_age_years",
"params": {
"years": 5
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}
],
"max_points": 25
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]
},
{
"key": "package_maintenance",
"band": "moderate",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 69,
"inputs": {
"packages": [
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],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 752
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 752 days ago",
"points": 4,
"status": "partial",
"details": [
{
"code": "publish_recency",
"params": {
"days": 752
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "33 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 33
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}
],
"max_points": 20
},
{
"key": "not_deprecated",
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"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 85,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 92,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": true
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "5 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 5
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 16,
"status": "met",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "24 out of 25 merged PRs checked by a CI test -- score normalized to 9",
"points": 18,
"status": "partial",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "good",
"name": "Documentation",
"note": null,
"notes": [],
"value": 75,
"inputs": {
"topics": [
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"semantic-web",
"json",
"json-schema",
"graph-ql",
"metamodel",
"yaml",
"data-integration",
"metadata",
"uml",
"schema-language",
"data-modeling",
"shacl",
"shex",
"linked-data"
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"has_wiki": true,
"homepage": "https://linkml.github.io/linkml-model/docs/",
"has_readme": true,
"has_docs_dir": false,
"has_description": true
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"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://linkml.github.io/linkml-model/docs/",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
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"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "15 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
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}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "good",
"name": "Security",
"value": 70,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "moderate",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"branch_protection",
"signed_releases"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 62,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 6.2
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal 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",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "24 out of 25 merged PRs checked by a CI test -- score normalized to 9",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 19/23 approved changesets -- score normalized to 8",
"points": 6,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 65 contributing companies or organizations",
"points": 2.5,
"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": "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": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9",
"points": 6.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"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": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"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": "2 existing vulnerabilities detected",
"points": 6,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:linkml-model@1.8.0 runtime dependency closure — what installing the published package pulls in — 31 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:linkml-model@1.8.0",
"assessed": 31
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 31,
"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": "excellent",
"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": 31,
"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": "excellent",
"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": [
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"Iran",
"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 25
},
"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": {}
}
],
"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": 55,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
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"inputs": {
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"legible_history_share": 0.454,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
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"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
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"code": "no_agent_instructions",
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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",
"detail": "44 of 97 human commits state their intent (structured subject or explanatory body)",
"points": 24.2,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
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}
],
"max_points": 40
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]
},
{
"key": "ai_verify_loop",
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"note": null,
"notes": [],
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"inputs": {
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"lockfiles": [
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"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.