Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 03:28 UTC
asottile / classify-imports
Utilities for refactoring imports in python-like syntax.
asottile/classify-imports erreicht einen Gesundheitsindex von 62 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (76/100) ab, am schwächsten bei AI Readiness (39/100). Zuletzt vor 6 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
62
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.
62
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
anthony sottilePersönliches Konto
6.063 Follower78 öffentliche Reposseit Juni 2012
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | classify_imports | 4.5.0 | - | 9 | vor 11 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
73
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 6 Tagen |
| 13.2/36 | Commit-Rhythmus — 19/52 Wochen mit Commits |
| 15.1/18 | Commit-Volumen — 47 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 47 |
| human_commit_share | 0,58 |
| days_since_last_push | 6 |
| active_weeks_last_year | 19 |
Release-Disziplin
72Gut
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 37 Versions-Tags (keine GitHub-Releases) |
| 36/36 | Release-Aktualität — letztes Release vor 11 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 163,3 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 37 |
| latest_release_tag | v4.5.0 |
| releases_from_tags | ja |
| days_since_latest_release | 11 |
| mean_days_between_releases | 163,3 |
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?
39
Popularität & Verbreitung
30Gefährdet
Wie die Bewertung erfolgt
| 22.1/60 | Stars — 24 Stars |
| 8.3/25 | Forks — 11 Forks |
| 0/15 | Watcher — 2 Watcher |
Verwendete Eingangsdaten
| forks | 11 |
| stars | 24 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | below_threshold |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 0/18 | 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 | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
69
Maintainer-Resilienz (Bus-Faktor)
30Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 98 % der Commits |
| 10.8/13.5 | Breite der Beitragenden — 8 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 8 |
| top_contributor_share | 0,975 |
Wie die Bewertung erfolgt
| 46.8/46.8 | Issue-Lösungsquote — 100 % der Issues geschlossen |
| 37.3/38.3 | PR-Annahme — 233/239 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/8 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 233 |
| open_issues | 0 |
| closed_issues | 8 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 6 |
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 25/25 | Reichweite des Inhabers — 6.063 Follower von asottile |
| 25/25 | Kontohistorie — 78 öffentliche Repos, Kontoalter ca. 14 Jahre |
Verwendete Eingangsdaten
| followers | 6.063 |
| owner_type | User |
| is_verified | — |
| owner_login | asottile |
| public_repos | 78 |
| account_age_days | 5.162 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 11 Tagen |
| 20/20 | Versionshistorie — 9 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | classify_imports |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 11 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
76
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — tox.ini |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
50Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 4 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | python, refactoring, imports, isort |
| has_wiki | nein |
| homepage | — |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
47
Sicherheitslage
47Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/8 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 11 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 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 |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4,7 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
39
AI-Agentenkontext & Leitlinien
40Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 47 von 58 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,81 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
AI-Verify-Loop (Build / Test / Typprüfung)
33Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — tox.ini |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 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 | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/4 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 16.852 |
| source_files_sampled | 4 |
| oversized_source_files | 0 |
Eckdaten
24GitHub-Sterne
8Mitwirkende
47Commits, letzte 12 Monate
6Tage seit letztem Push
37Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- No resolved dependencies carried a version and a supported ecosystem
Weitere Details
Stern- und Fork-Verlauf 24 ★ / 11 ⇿
24Sterne
11Forks
32Releases
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 4Minor 10Patch 18
Jeder Punkt umfasst 11 Tage.
OpenSSF Scorecard 4.7 / 10
4.7Gesamtwert
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).
| 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 |
| 10 | CI-Tests | 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/8 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 11 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not 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 |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Alle Abhängigkeiten 3
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 3 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | covdefaults | — | indirekt |
| PyPI | coverage | — | indirekt |
| PyPI | pytest | — | indirekt |
Abhängigkeits-Advisories nicht bewertet
Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem
JSON-Rohbericht maschinenlesbar
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{
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"status": "partial",
"details": [
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"code": "bus_factor",
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],
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{
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{
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"code": "contributors_sampled",
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],
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{
"key": "openssf_scorecard_contributors",
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]
},
{
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"components": [
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"code": "issues_closed_share",
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}
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{
"key": "pr_acceptance",
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{
"key": "openssf_scorecard_code_review",
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]
},
{
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"notes": [
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"code": "excluded_no_data",
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"components": [
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"code": "weights_renormalized",
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"inputs": {
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"components": [
{
"key": "ownership_backing",
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{
"code": "owner_personal",
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],
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{
"key": "verified_domain",
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"status": "excluded",
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"code": "not_applicable_to_user_accounts",
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],
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{
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"code": "owner_followers",
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}
],
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{
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"points": 25,
"status": "met",
"details": [
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},
{
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],
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]
},
{
"key": "package_maintenance",
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"notes": [],
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"inputs": {
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"components": [
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"key": "published_resolvable",
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"points": 25,
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"details": [
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"code": "packages_published",
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}
],
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{
"key": "publish_recency",
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"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
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}
],
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{
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"points": 20,
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"code": "published_versions",
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}
],
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{
"key": "not_deprecated",
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],
"max_points": 20
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]
}
],
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{
"key": "engineering",
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"weight": 0.2,
"metrics": [
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"code": "ci_workflows",
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{
"key": "tests_present",
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{
"key": "linter_config",
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{
"key": "editorconfig",
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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"notes": [],
"value": 50,
"inputs": {
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}
],
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{
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],
"value": 47,
"inputs": {
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"components": [
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{
"key": "branch_protection",
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{
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{
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"detail": "no effort to earn an OpenSSF best practices badge detected",
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"status": "missed",
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{
"key": "code_review",
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{
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{
"key": "dangerous_workflow",
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{
"key": "dependency_update_tool",
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"status": "missed",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
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},
{
"key": "license",
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"status": "met",
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},
{
"key": "maintained",
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"points": 7.5,
"status": "met",
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},
{
"key": "packaging",
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"detail": "packaging workflow not detected",
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"status": "excluded",
"details": [
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"code": "no_data",
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],
"max_points": 5
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{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
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},
{
"key": "sast",
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"status": "missed",
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{
"key": "security_policy",
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"status": "missed",
"details": [],
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},
{
"key": "signed_releases",
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"status": "excluded",
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{
"code": "no_data",
"params": {}
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],
"max_points": 7.5
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{
"key": "token_permissions",
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"points": 0,
"status": "missed",
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
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"notes": [
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"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"components": [
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"code": "jurisdiction_no_match",
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}
],
"max_points": 100
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]
}
],
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{
"key": "ai_readiness",
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"name": "AI Readiness",
"value": 39,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"note": null,
"notes": [],
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"inputs": {
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"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
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"points": 0,
"status": "missed",
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],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "47 of 58 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
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"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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"bootstrap_files": [],
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"toolchain_manifests": [],
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},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "automated_tests",
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"detail": null,
"points": 22,
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},
{
"key": "lint_format_config",
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"status": "met",
"details": [
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"code": "file_list",
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}
],
"max_points": 11
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{
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{
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{
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{
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
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},
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"full_name": "asottile/classify-imports",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.26.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.