Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-27 08:44 UTC
lgtm-hq / ai-skills
Canonical Agent Skills library for Claude Code, Cursor, Codex, and other agents.
lgtm-hq/ai-skills erreicht einen Gesundheitsindex von 63 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (74/100) ab, am schwächsten bei Community & Adoption (47/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
63
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.
63
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
lgtm-hqOrganisation
0 Follower14 öffentliche Reposseit Jan. 2026
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 | ai-skillsverweist auf ein anderes Repo — nicht bewertet | 0.0.1 | - | 1 | vor 249 Tagen | earthjupyter |
| npm | @lgtm-hq/ai-skills | 0.14.2 | 2.572 | 29 | vor 6 Tagen | — |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
73
Entwicklungsaktivität
61Mittel
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 6.9/36 | Commit-Rhythmus — 10/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 213 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully |
Verwendete Eingangsdaten
| commits_last_year | 213 |
| human_commit_share | 0,29 |
| days_since_last_push | 0 |
| active_weeks_last_year | 10 |
Release-Disziplin
90Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 60 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 6 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 0,9 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 60 |
| latest_release_tag | v0.14.2 |
| releases_from_tags | nein |
| days_since_latest_release | 6 |
| mean_days_between_releases | 0,9 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
47
Popularität & Verbreitung
1Kritisch
Wie die Bewertung erfolgt
| 0/60 | Stars — 0 Stars |
| 0/25 | Forks — 0 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 0 |
| stars | 0 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
92Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | ja |
Wie die Bewertung erfolgt
| 45.5/80 | Downloads pro Monat — 2.572 Downloads/Monat über npm |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | @lgtm-hq/ai-skills |
| dependents | — |
| ecosystems | npm |
| total_downloads | — |
| monthly_downloads | 2.572 |
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?
54
Maintainer-Resilienz (Bus-Faktor)
13Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits |
| 1.4/13.5 | Breite der Beitragenden — 1 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
Wie die Bewertung erfolgt
| 42.6/46.8 | Issue-Lösungsquote — 91 % der Issues geschlossen |
| 36.4/38.3 | PR-Annahme — 214/225 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 214 |
| open_issues | 7 |
| closed_issues | 72 |
| issue_closed_ratio | 0,911 |
| closed_unmerged_prs | 11 |
Eigentümerschaft & Trägerschaft
40Gefährdet
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 0/25 | Reichweite des Inhabers — 0 Follower von lgtm-hq |
| 9.5/25 | Kontohistorie — 14 öffentliche Repos, Kontoalter ca. 0 Jahre |
Verwendete Eingangsdaten
| followers | 0 |
| owner_type | Organization |
| is_verified | — |
| owner_login | lgtm-hq |
| public_repos | 14 |
| account_age_days | 180 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf npm |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 6 Tagen |
| 20/20 | Versionshistorie — 29 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | @lgtm-hq/ai-skills |
| ecosystems | npm |
| any_deprecated | nein |
| min_days_since_publish | 6 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
74
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 14 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 6.4/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | ja |
| has_linter_config | nein |
| 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 |
| 10/10 | Topics — 8 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | agent-skills, ai-agents, claude-code, codex, cursor, developer-tools, skills, lgtm-hq |
| has_wiki | nein |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| 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 |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 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 0/27 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 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 |
| 0/7.5 | Maintained — project was created within the last 90 days. Please review its contents carefully |
| 5/5 | Packaging — packaging workflow detected |
| 4.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9 |
| 4.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 9 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 6/7.5 | 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 | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 6,2 |
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 | 57 |
| 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:ai-skills@0.0.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 57 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.
67
AI-Agentenkontext & Leitlinien
85Exzellent
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md, CLAUDE.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 29 von 29 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 1 |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 11.014 |
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 10/10 | Belegte Agentenpraxis — 5 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 8/8 | Automatisierte Wartung — 47 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates |
| 9/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0,05 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,47 |
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/50 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 23.331 |
| source_files_sampled | 50 |
| oversized_source_files | 0 |
Eckdaten
0GitHub-Sterne
1Mitwirkende
213Commits, letzte 12 Monate
0Tage seit letztem Push
60Releases
1Bus-Faktor
7offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- pypi package 'ai-skills' points at a different repository (https://github.com/datalayer/ai-skills); excluded from ecosystem scoring
Weitere Details
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 |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 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 0/27 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 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 |
| 0 | Maintained | project was created within the last 90 days. Please review its contents carefully |
| 10 | Packaging | packaging workflow detected |
| 9 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 9 |
| 9 | SAST | SAST tool is not run on all commits -- score normalized to 9 |
| 10 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 8 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 1
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| npm | @clack/prompts | 1.7.0 | npm/ai-skills/package.json |
Alle Abhängigkeiten 62
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 1 direkte und 61 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| npm | @clack/prompts | 1.7.0 | direkt |
| PyPI | ai-skills | 0.14.2 | indirekt |
| PyPI | annotated-types | 0.8.0 | indirekt |
| PyPI | anyio | 4.14.2 | indirekt |
| PyPI | assertpy | 1.1 | indirekt |
| PyPI | ast-serialize | 0.6.0 | indirekt |
| PyPI | boolean-py | 5.0 | indirekt |
| PyPI | cachecontrol | 0.14.4 | indirekt |
| PyPI | certifi | 2026.7.22 | indirekt |
| PyPI | charset-normalizer | 3.4.9 | indirekt |
| PyPI | click | 8.4.2 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | coverage | 7.15.2 | indirekt |
| PyPI | cyclonedx-python-lib | 11.11.0 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | execnet | 2.1.2 | indirekt |
| PyPI | filelock | 3.32.0 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | identify | 2.6.19 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | librt | 0.13.0 | indirekt |
| PyPI | license-expression | 30.4.4 | indirekt |
| PyPI | lintro | 0.91.56 | indirekt |
| PyPI | loguru | 0.7.3 | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | msgpack | 1.2.1 | indirekt |
| PyPI | mypy | 2.3.0 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | packageurl-python | 0.17.6 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | pathspec | 1.1.1 | indirekt |
| PyPI | pip | 26.1.2 | indirekt |
| PyPI | pip-api | 0.0.34 | indirekt |
| PyPI | pip-audit | 2.10.1 | indirekt |
| PyPI | pip-requirements-parser | 32.0.1 | indirekt |
| PyPI | platformdirs | 4.11.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | py-serializable | 2.1.0 | indirekt |
| PyPI | pydantic | 2.13.4 | indirekt |
| PyPI | pydantic-core | 2.46.4 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyparsing | 3.3.2 | indirekt |
| PyPI | pytest | 9.1.1 | indirekt |
| PyPI | pytest-cov | 7.1.0 | indirekt |
| PyPI | pytest-timeout | 2.4.0 | indirekt |
| PyPI | pytest-xdist | 3.8.0 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | ripgrep | 15.1.0 | indirekt |
| PyPI | sortedcontainers | 2.4.0 | indirekt |
| PyPI | tabulate | 0.10.0 | indirekt |
| PyPI | tomli | 2.4.1 | indirekt |
| PyPI | tomli-w | 1.2.0 | indirekt |
| PyPI | typing-extensions | 4.16.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | win32-setctime | 1.2.0 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:ai-skills@0.0.1 zieht 57 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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"tag": "v0.14.2",
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"published_at": "2026-07-18T07:42:12Z"
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"published_at": "2026-07-16T19:00:49Z"
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"tag": "v0.10.1",
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"published_at": "2026-07-12T16:56:37Z"
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{
"tag": "v0.10.0",
"kind": "minor",
"published_at": "2026-07-12T16:07:21Z"
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{
"tag": "v0.9.7",
"kind": "patch",
"published_at": "2026-07-12T15:35:21Z"
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{
"tag": "v0.9.6",
"kind": "patch",
"published_at": "2026-07-12T14:54:44Z"
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{
"tag": "v0.9.5",
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"published_at": "2026-07-12T14:33:54Z"
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"tag": "v0.9.4",
"kind": "patch",
"published_at": "2026-07-12T14:02:44Z"
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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, npm.