Öffentliches RegisterGefährdet
Software-GesundheitsberichtSchema 0.27.0 · Metriken 2.3.1 · 2026-07-28 14:44 UTC
ktosiek / pytest-vcr
Py.test integration with VCR.py
ktosiek/pytest-vcr erreicht einen Gesundheitsindex von 23 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Engineering Quality (54/100) ab, am schwächsten bei Vitality (17/100). Zuletzt vor 1543 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
23
gesamt / 100Software-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.
23
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)
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 42 wird auf der veröffentlichten Indexskala auf 38 kalibriert (Register-Kalibrierung 2026-08-02).
Eigentümerschaft
Tomasz KontuszPersönliches Konto
31 Follower120 öffentliche Reposseit Mai 2010
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 | pytest-vcr | 1.0.2 | - | 7 | vor 2649 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
17
Entwicklungsaktivität
1Kritisch
Hinweis auf Verwaisung
Arbeit ist eingegangen, und niemand hat sich darum gekümmert
seit 2205 Tagen kein menschlicher Commitautomatisierte Commits ausgenommenunbeantwortete Pull Requestsunbeantwortete IssuesReleases stehen stillOpenSSF Scorecard meldet es als ungepflegtGesamtbewertung: Obergrenze Gefährdet
Stille allein ist nie der Befund — eine kleine, fertige Bibliothek braucht womöglich jahrelang keinen Commit. Dieser Hinweis verlangt beides: lange keinen menschlichen Commit und Pflichten, denen das Projekt sichtbar nicht nachkommt. Automatisierte Commits gelten nicht als Pflege.
Wie Verwaisung bewertet wirdWie die Bewertung erfolgt
| 0/36 | Push-Aktualität — letzter Push vor 1.543 Tagen |
| 0/36 | Commit-Rhythmus — 0/52 Wochen mit Commits |
| 0/18 | Commit-Volumen — 0 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Verwendete Eingangsdaten
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 1.543 |
| active_weeks_last_year | 0 |
Release-Disziplin
40Schwach
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 7 Versions-Tags (keine GitHub-Releases) |
| 0/36 | Release-Aktualität — letztes Release vor 2.649 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 119,9 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 7 |
| latest_release_tag | 1.0.2 |
| releases_from_tags | ja |
| days_since_latest_release | 2.649 |
| mean_days_between_releases | 119,9 |
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?
49
Popularität & Verbreitung
48Schwach
Wie die Bewertung erfolgt
| 36.6/60 | Stars — 182 Stars |
| 11.3/25 | Forks — 24 Forks |
| 0/15 | Watcher — 2 Watcher |
Verwendete Eingangsdaten
| forks | 24 |
| stars | 182 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
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 |
| readme_badges | — |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| readme_badge_services | — |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
50
Maintainer-Resilienz (Bus-Faktor)
26Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 4.1/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 82 % der Commits |
| 9.5/13.5 | Breite der Beitragenden — 7 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 7 |
| top_contributor_share | 0,816 |
Wie die Bewertung erfolgt
| 21.8/42 | Issue-Lösungsquote — 52 % der Issues geschlossen |
| 24.3/30 | PR-Annahme — 17/21 entschiedene PRs gemergt |
| 0/13 | Newcomer PR acceptance — kein PR eines Erstbeitragenden in 30 Tagen entschieden |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 5/18 approved changesets -- score normalized to 2 |
Verwendete Eingangsdaten
| merged_prs | 17 |
| open_issues | 13 |
| closed_issues | 14 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0,519 |
| closed_unmerged_prs | 4 |
| 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.
Eigentümerschaft & Trägerschaft
57Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 10.8/25 | Reichweite des Inhabers — 31 Follower von ktosiek |
| 25/25 | Kontohistorie — 120 öffentliche Repos, Kontoalter ca. 16 Jahre |
Verwendete Eingangsdaten
| followers | 31 |
| owner_type | User |
| is_verified | — |
| owner_login | ktosiek |
| public_repos | 120 |
| account_age_days | 5.917 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
69Gut
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 4/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 2.649 Tagen |
| 20/20 | Versionshistorie — 7 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | pytest-vcr |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 2.649 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
54
Engineering-Praktiken
40Schwach
Wie die Bewertung erfolgt
| 0/24 | CI-Workflows |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — tox.ini |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | nein |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
42
Sicherheitslage
28Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 5/18 approved changesets -- score normalized to 2 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 0/10 | Dangerous-Workflow — keine Daten |
| 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 |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — keine Daten |
| 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 — keine Daten |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 13 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 5 |
| scorecard_aggregate | 2,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Außergewöhnlich
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 | 8 |
| 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:pytest-vcr@1.0.2 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 8 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.
32
AI-Agentenkontext & Leitlinien
14Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 13.5/40 | Lesbare Commit-Historie — 22 von 87 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,253 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
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 87 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — keine Daten |
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 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
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 | 14.129 |
| source_files_sampled | 4 |
| oversized_source_files | 0 |
Eckdaten
182GitHub-Sterne
7Mitwirkende
0Commits, letzte 12 Monate
1.543Tage seit letztem Push
7Releases
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 ★ / 24 ⇿
0Sterne
24Forks
4Releases
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 1Minor 1Patch 2
Jeder Punkt umfasst 8 Tage.
OpenSSF Scorecard 2.8 / 10
2.8Gesamtwert
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 |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 0 | CI-Tests | 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 5/18 approved changesets -- score normalized to 2 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| k. A. | Dangerous-Workflow | no workflows found |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| k. A. | Packaging | packaging workflow not detected |
| k. A. | Pinned-Dependencies | no dependencies found |
| 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 |
| k. A. | Token-Permissions | No tokens found |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Alle Abhängigkeiten 2
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 2 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | pytest | — | indirekt |
| PyPI | vcrpy | — | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:pytest-vcr@1.0.2 zieht 8 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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{
"key": "topics",
"name": "Topics",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": "weak",
"name": "Security",
"value": 42,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
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"note": "Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"packaging",
"pinned_dependencies",
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"token_permissions"
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}
},
{
"code": "weights_renormalized",
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],
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"inputs": {
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"checks_evaluated": 13,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 5,
"scorecard_aggregate": 2.8
},
"components": [
{
"key": "binary_artifacts",
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"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
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"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
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"points": 1.5,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"details": [],
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},
{
"key": "dangerous_workflow",
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"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "dependency_update_tool",
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"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",
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"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",
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"points": 0,
"status": "excluded",
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{
"code": "no_data",
"params": {}
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"max_points": 5
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{
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
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"points": 0,
"status": "missed",
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
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"detail": "no releases found",
"points": 0,
"status": "excluded",
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{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
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"detail": "No tokens found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
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"points": 7.5,
"status": "met",
"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:pytest-vcr@1.0.2 runtime dependency closure — what installing the published package pulls in — 8 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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{
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"package": "pypi:pytest-vcr@1.0.2",
"assessed": 8
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
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"advisories": 0,
"affected_packages": 0,
"assessed_packages": 8,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
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"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
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"code": "no_direct_advisories",
"params": {}
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"max_points": 35
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{
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"points": 25,
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"code": "no_indirect_advisories",
"params": {}
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],
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{
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"points": 0,
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"params": {}
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],
"max_points": 40
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]
},
{
"key": "malicious_dependencies",
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"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"packages": [],
"red_flag": false,
"assessed_packages": 8,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
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"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
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{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
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"commit_weight_rule": {
"min_commits": 50,
"min_commit_share": 0.1
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"review_only_matches": 0,
"below_threshold_exposures": [],
"assessed_self_published_locations": 3
},
"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": "at_risk",
"name": "AI Readiness",
"value": 32,
"weight": 0.04,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 14,
"inputs": {
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"legible_history_share": 0.253,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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"components": [
{
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
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"max_points": 45
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
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{
"key": "legible_commit_history",
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"points": 13.5,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 22,
"sampled": 87
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}
],
"max_points": 40
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]
},
{
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"notes": [
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"code": "excluded_no_data",
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{
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"value": 37,
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"lockfiles": [],
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"typed_language": false,
"bootstrap_files": [],
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"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
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{
"key": "automated_tests",
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"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
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{
"key": "lint_format_config",
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"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "tox.ini"
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],
"max_points": 11
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{
"key": "static_type_checking",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
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{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 87
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"max_points": 10
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{
"key": "automated_maintenance",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
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],
"max_points": 8
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{
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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"max_points": 10
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{
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"note": null,
"notes": [],
"value": 55,
"inputs": {
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"largest_source_bytes": 14129,
"source_files_sampled": 4,
"oversized_source_files": 0
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"components": [
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"points": 0,
"status": "missed",
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"max_points": 45
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{
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"points": 55,
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"code": "oversized_source_files",
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"oversized": 0
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],
"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)."
}
],
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"scores": {
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"source": "registry:pypi",
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"host_extension": false,
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"consumed_by_code": true
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"metrics_version": "2.3.1"
},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-28T14:44:20.958925Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/k/ktosiek/pytest-vcr.svg",
"full_name": "ktosiek/pytest-vcr",
"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 v2.3.1, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.