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Software-GesundheitsberichtSchema 0.14.0 · Metriken 1.13.0 · 2026-07-19 05:18 UTC

MotleyAI / slayer

SLayer: a lightweight semantic layer for AI agents and humans

PythonMIT★ 133 Sterne⑂ 15 Forksseit März 2026Auf GitHub ansehen ↗

MotleyAI/slayer erreicht einen Gesundheitsindex von 70 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (92/100) ab, am schwächsten bei Security (47/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

70
gesamt / 100
Gut

Software-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.

70
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)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

MotleyAIOrganisation
14 Follower26 öffentliche Reposseit Nov. 2023

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPImotley-slayer0.9.102.04743vor 0 Tagensemantic-layersqlaimcpdataanalyticsbi

Metriken nach Kategorie

Vitalität

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

86Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
12.5/36Commit-Rhythmus — 18/52 Wochen mit Commits
18/18Commit-Volumen — 1.262 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year1.262
human_commit_share
days_since_last_push0
active_weeks_last_year18

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 43 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 2,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count43
latest_release_tagv0.9.10
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases2,1
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?

56Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
34.4/60Stars — 133 Stars
9.6/25Forks — 15 Forks
0/15Watcher — 1 Watcher
Verwendete Eingangsdaten
forks15
stars133
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein
Wie die Bewertung erfolgt
44.2/80Downloads pro Monat — 2.047 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagesmotley-slayer
dependents
ecosystemspypi
total_downloads
monthly_downloads2.047
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?

64Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
4.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 81 % der Commits
6.8/13.5Breite der Beitragenden — 5 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Verwendete Eingangsdaten
bus_factor1
contributors_sampled5
top_contributor_share0,814
Wie die Bewertung erfolgt
46.8/46.8Issue-Lösungsquote — 100 % der Issues geschlossen
37.2/38.3PR-Annahme — 209/215 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/8 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs209
open_issues0
closed_issues21
issue_closed_ratio1
closed_unmerged_prs6
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
8.5/25Reichweite des Inhabers — 14 Follower von MotleyAI
15.7/25Kontohistorie — 26 öffentliche Repos, Kontoalter ca. 2 Jahre
Verwendete Eingangsdaten
followers14
owner_typeOrganization
is_verified
owner_loginMotleyAI
public_repos26
account_age_days963

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 43 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesmotley-slayer
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 8 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://motley.ai/slayer
10/10Repository-Beschreibung
10/10Topics — 1 Topics
0/10Wiki
Verwendete Eingangsdaten
topicssemantic-layer
has_wikinein
homepagehttps://motley.ai/slayer
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

47Gefährdet · 16 % des Gesamtindex

Sicherheitslage

47Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.5/2.5CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/8 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 80 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, 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.

75Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — CLAUDE.md, docs/CLAUDE.md, examples/sqlserver/CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_filesCLAUDE.md, docs/CLAUDE.md, examples/sqlserver/CLAUDE.md
agent_instruction_max_bytes110.887
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespoetry.lock
has_dockerfileja
typed_languagenein
bootstrap_filesMakefile
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
51.4/55Handhabbare Dateigrößen — 25/387 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes312.510
source_files_sampled387
oversized_source_files25
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — slayer/flight/FlightSql.proto
20/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalja
api_schema_filesslayer/flight/FlightSql.proto

Eckdaten

133GitHub-Sterne
5Mitwirkende
1.262Commits, letzte 12 Monate
0Tage seit letztem Push
43Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Weitere Details

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).Scorecard v5.5.0 · 2026-07-19 05:17 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/8 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities80 existing vulnerabilities detected
Direkte Abhängigkeiten 29
RegistryPaketVersionsvorgabeManifest
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PyPIsqlalchemy>=2.0pyproject.toml
PyPIpydantic>=2.0pyproject.toml
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PyPIhttpx>=0.24pyproject.toml
PyPIpandas>=2.0pyproject.toml
PyPImcp>=1.0pyproject.toml
PyPIpsycopg2-binary>=2.9pyproject.toml
PyPIasyncpg>=0.27pyproject.toml
PyPIpymysql>=1.0pyproject.toml
PyPIaiomysql>=0.2pyproject.toml
PyPIclickhouse-sqlalchemy>=0.3pyproject.toml
PyPIpyodbc>=5.0pyproject.toml
PyPIsqlalchemy-bigquery>=1.11pyproject.toml
PyPIduckdb>=0.9pyproject.toml
PyPIduckdb-engine>=0.13pyproject.toml
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PyPIrank-bm25>=0.2.2pyproject.toml
PyPIdbt-core>=1.7pyproject.toml
PyPIpyarrow>=18.0pyproject.toml
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PyPIlitellm>=1.50pyproject.toml
PyPInumpy>=1.24pyproject.toml
PyPIladybug>=0.1pyproject.toml
PyPIsnowflake-connector-python>=3.13pyproject.toml
PyPIsnowflake-sqlalchemy>=1.7pyproject.toml
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

JSON-Rohbericht maschinenlesbar
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  "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 v0.14.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.