Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-25 06:44 UTC

LSSTDESC / CCL

DESC Core Cosmology Library: cosmology routines with validated numerical accuracy

C · PythonBSD-3-Clause★ 159 Sterne⑂ 84 Forksseit Apr. 2016Auf GitHub ansehen ↗

LSSTDESC/CCL erreicht einen Gesundheitsindex von 77 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Sustainability & Governance (87/100) ab, am schwächsten bei AI Readiness (51/100). Zuletzt heute aktualisiert. 6 Mitwirkende tragen den Großteil der jüngsten Arbeit.

77
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.

77
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

229 Follower482 öffentliche Reposseit Nov. 2012

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIpyccl3.3.55.57940vor 0 Tagencosmologyastrophysicsphysicssciencelsst

Metriken nach Kategorie

Vitalität

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

84Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
13.8/36Commit-Rhythmus — 20/52 Wochen mit Commits
18/18Commit-Volumen — 124 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 26 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year124
human_commit_share1
days_since_last_push0
active_weeks_last_year20
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 38 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 68 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count38
latest_release_tagv3.3.5
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases68
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?

66Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
35.7/60Stars — 159 Stars
16/25Forks — 84 Forks
13.1/15Watcher — 231 Watcher
Verwendete Eingangsdaten
forks84
stars159
watchers231
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
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
50/80Downloads pro Monat — 5.579 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagespyccl
dependents
ecosystemspypi
total_downloads
monthly_downloads5.579
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?

87Exzellent · 24 % des Gesamtindex
Wie die Bewertung erfolgt
48.6/54Bus-Faktor — 6 Beitragende decken die Hälfte aller Commits ab
18.7/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 17 % der Commits
13.5/13.5Breite der Beitragenden — 64 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 41 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor6
contributors_sampled64
top_contributor_share0,171
Wie die Bewertung erfolgt
41.4/46.8Issue-Lösungsquote — 89 % der Issues geschlossen
31.9/38.3PR-Annahme — 555/666 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs555
open_issues71
closed_issues553
issue_closed_ratio0,886
closed_unmerged_prs111
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
17/25Reichweite des Inhabers — 229 Follower von LSSTDESC
25/25Kontohistorie — 482 öffentliche Repos, Kontoalter ca. 13 Jahre
Verwendete Eingangsdaten
followers229
owner_typeOrganization
is_verified
owner_loginLSSTDESC
public_repos482
account_age_days5.009

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 40 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespyccl
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

80Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .flake8
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

58Mittel · 16 % des Gesamtindex
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 — 7 out of 7 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 41 contributing companies or organizations
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 — 26 commit(s) and 7 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
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,8
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.

51Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
18.1/40Lesbare Commit-Historie — 34 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,34
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile, benchmarks/data/codes/CosmicEmuMTII/P_cb/makefile, benchmarks/data/codes/CosmicEmuMTII/P_tot/makefile, benchmarks/data/codes/CosmicEmuMTIV/P_cb/makefile, benchmarks/data/codes/CosmicEmuMTIV/P_tot/makefile, benchmarks/data/codes/cl_corr_bm/Makefile, doc/0000-ccl_note/Makefile, doc/ccl_paper/Makefile, readthedocs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .flake8
11/11Statische Typprüfung — C (statisch typisiert)
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languageja
bootstrap_filesMakefile, benchmarks/data/codes/CosmicEmuMTII/P_cb/makefile, benchmarks/data/codes/CosmicEmuMTII/P_tot/makefile, benchmarks/data/codes/CosmicEmuMTIV/P_cb/makefile, benchmarks/data/codes/CosmicEmuMTIV/P_tot/makefile, benchmarks/data/codes/cl_corr_bm/Makefile, doc/0000-ccl_note/Makefile, doc/ccl_paper/Makefile, readthedocs/Makefile
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — C (statisch typisiert)
54/55Handhabbare Dateigrößen — 5/277 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC
largest_source_bytes1.428.745
source_files_sampled277
oversized_source_files5
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

159GitHub-Sterne
64Mitwirkende
124Commits, letzte 12 Monate
0Tage seit letztem Push
38Releases
6Bus-Faktor
71offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:pyccl@3.3.5; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 84 ⇿
0Sterne
84Forks
36Releases

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.

0204060801008232017-072021-122026-06
Major 3Minor 8Patch 15

Jeder Punkt umfasst 9 Tage.

OpenSSF Scorecard 5.8 / 10
5.8Gesamtwert

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).Scorecard v5.5.0 · 2026-07-25 06:44 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-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 41 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained26 commit(s) and 7 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 4
RegistryPaketVersionsvorgabeManifest
PyPInumpypyproject.toml
PyPIpackagingpyproject.toml
PyPIscipypyproject.toml
PyPIpyyamlpyproject.toml
Alle Abhängigkeiten 230

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 4 direkte und 226 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
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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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                "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,
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                "status": "missed",
                "details": [],
                "max_points": 7.2
              },
              {
                "key": "pr_template",
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                "points": 0,
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                "details": [],
                "max_points": 6.3
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            ]
          },
          {
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            "name": "Ecosystem adoption (downloads)",
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            "notes": [
              {
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                "code": "weights_renormalized",
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              "ecosystems": "pypi",
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              "monthly_downloads": 5579
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                "name": "Monthly downloads",
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                "points": 50,
                "status": "partial",
                "details": [
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                ],
                "max_points": 80
              },
              {
                "key": "registry_dependents",
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                "detail": "not reported by this ecosystem",
                "points": 0,
                "status": "excluded",
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        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
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      {
        "key": "governance",
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        "weight": 0.24,
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                "max_points": 22.5
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                "key": "contributor_breadth",
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                "key": "openssf_scorecard_contributors",
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                "points": 10,
                "status": "met",
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                "max_points": 10
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            "key": "responsiveness",
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            "name": "Issue & PR responsiveness",
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            "notes": [],
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            "inputs": {
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              "issue_closed_ratio": 0.886,
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                "key": "issue_resolution",
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                "detail": "89% of issues closed",
                "points": 41.4,
                "status": "partial",
                "details": [
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                    "code": "issues_closed_share",
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                "max_points": 46.75
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                "key": "pr_acceptance",
                "name": "PR acceptance",
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                "max_points": 38.25
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                "key": "openssf_scorecard_code_review",
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            "notes": [],
            "value": 72,
            "inputs": {
              "followers": 229,
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              "is_verified": null,
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                "key": "ownership_backing",
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                "details": [
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                "key": "verified_domain",
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                "points": 0,
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                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "229 followers of LSSTDESC",
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                "max_points": 25
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "482 public repos, account ~13 yr old",
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                "details": [
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                    "code": "public_repos",
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                      "count": 482
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                    "code": "account_age_years",
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                "max_points": 25
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            "key": "package_maintenance",
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            "note": null,
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            "inputs": {
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                "max_points": 35
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                "key": "version_history",
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                "points": 20,
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                "key": "not_deprecated",
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                "detail": "active, not deprecated or yanked",
                "points": 20,
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                "details": [
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                "max_points": 20
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
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        "name": "Engineering Quality",
        "value": 80,
        "weight": 0.2,
        "metrics": [
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            "key": "engineering_practices",
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            "note": null,
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            "components": [
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                "key": "ci_workflows",
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                "detail": "2 workflow(s)",
                "points": 24,
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                "details": [
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                    "code": "ci_workflows",
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                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
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                "points": 24,
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              },
              {
                "key": "linter_config",
                "name": "Linter config",
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                "points": 16,
                "status": "met",
                "details": [
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                "max_points": 16
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                "key": "pre_commit_hooks",
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                "points": 0,
                "status": "missed",
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                "max_points": 9.6
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              {
                "key": "editorconfig",
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                "max_points": 6.4
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              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
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                "points": 20,
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          {
            "key": "documentation",
            "band": "good",
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            "note": null,
            "notes": [],
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            "inputs": {
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            "components": [
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                "points": 30,
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                "max_points": 30
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              {
                "key": "documentation_directory",
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                "points": 25,
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                "key": "documentation_homepage_site",
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                "key": "repository_description",
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                "points": 10,
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
        "metrics": [
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                "params": {
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              {
                "code": "weights_renormalized",
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            ],
            "value": 58,
            "inputs": {
              "source": "openssf_scorecard",
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            "components": [
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                "key": "branch_protection",
                "name": "Branch-Protection",
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                "points": 0,
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                "max_points": 7.5
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                "key": "ci_tests",
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                "status": "missed",
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                "key": "code_review",
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              {
                "key": "contributors",
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                "details": [],
                "max_points": 2.5
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              {
                "key": "dangerous_workflow",
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                "points": 10,
                "status": "met",
                "details": [],
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              },
              {
                "key": "dependency_update_tool",
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              },
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                "key": "fuzzing",
                "name": "Fuzzing",
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              {
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                "key": "maintained",
                "name": "Maintained",
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              {
                "key": "packaging",
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                "details": [],
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                "key": "pinned_dependencies",
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                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
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              },
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                "key": "security_policy",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "status": "missed",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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            ]
          },
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            "key": "high_risk_jurisdiction_exposure",
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            "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": [
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
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              "review_only_matches": 0,
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
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                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
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                "max_points": 100
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            ]
          }
        ],
        "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": 51,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": null,
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            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.34,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "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",
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                "status": "partial",
                "details": [
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                    "code": "legible_history",
                    "params": {
                      "legible": 34,
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                  }
                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
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            "notes": [],
            "value": 62,
            "inputs": {
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              "lockfiles": [],
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              "typed_language": true,
              "bootstrap_files": [
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            "components": [
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                "key": "one_command_bootstrap",
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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.

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