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

ASPP / pelita

Actor-based Toolkit for Interactive Language Education in Python

PythonEigene Lizenz★ 69 Sterne⑂ 70 Forksseit Mai 2011Auf GitHub ansehen ↗

ASPP/pelita erreicht einen Gesundheitsindex von 66 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (81/100) ab, am schwächsten bei AI Readiness (32/100). Zuletzt vor 15 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

66
gesamt / 100
Mittel

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.

66
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

45 Follower76 öffentliche Reposseit Apr. 2012

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIpelita2.6.0-23vor 303 Tageneducation

Metriken nach Kategorie

Vitalität

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

71Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 15 Tagen
15.2/36Commit-Rhythmus — 22/52 Wochen mit Commits
18/18Commit-Volumen — 157 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year157
human_commit_share1
days_since_last_push15
active_weeks_last_year22
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 18 Releases veröffentlicht
16.2/36Release-Aktualität — letztes Release vor 303 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 54,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count18
latest_release_tagv2.6.0
releases_from_tagsnein
days_since_latest_release303
mean_days_between_releases54,4
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?

46Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
29.7/60Stars — 69 Stars
15.3/25Forks — 70 Forks
3.3/15Watcher — 5 Watcher
Verwendete Eingangsdaten
forks70
stars69
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

68Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
8.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 61 % der Commits
13.5/13.5Breite der Beitragenden — 23 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 26 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled23
top_contributor_share0,608
Wie die Bewertung erfolgt
41.6/46.8Issue-Lösungsquote — 89 % der Issues geschlossen
34.1/38.3PR-Annahme — 451/506 entschiedene PRs gemergt
9/15OpenSSF Scorecard: Code-Review — Found 3/5 approved changesets -- score normalized to 6
Verwendete Eingangsdaten
merged_prs451
open_issues50
closed_issues402
issue_closed_ratio0,889
closed_unmerged_prs55
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
12/25Reichweite des Inhabers — 45 Follower von ASPP
25/25Kontohistorie — 76 öffentliche Repos, Kontoalter ca. 14 Jahre
Verwendete Eingangsdaten
followers45
owner_typeOrganization
is_verified
owner_loginASPP
public_repos76
account_age_days5.205

Paketpflege

91Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
26/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 303 Tagen
20/20Versionshistorie — 23 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespelita
ecosystemspypi
any_deprecatednein
min_days_since_publish303

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

81Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://github.com/ASPP/pelita_template
10/10Repository-Beschreibung
10/10Topics — 3 Topics
10/10Wiki
Verwendete Eingangsdaten
topicspython, educational-game, hacktoberfest
has_wikija
homepagehttps://github.com/ASPP/pelita_template
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

62Mittel · 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 — 5 out of 5 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
4.5/7.5Code-Review — Found 3/5 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 26 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
2.2/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
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_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5,2
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages15
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:pelita@2.6.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 15 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.

32Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
10.7/40Lesbare Commit-Historie — 20 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,2
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — doc/Makefile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
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_languagenein
bootstrap_filesdoc/Makefile
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/73 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes52.309
source_files_sampled73
oversized_source_files0

Eckdaten

69GitHub-Sterne
23Mitwirkende
157Commits, letzte 12 Monate
15Tage seit letztem Push
18Releases
1Bus-Faktor
50offene 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 ★ / 70 ⇿
0Sterne
70Forks
15Releases

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.

01325385063756992011-082018-092025-09
Major 0Minor 5Patch 5

Jeder Punkt umfasst 13 Tage.

OpenSSF Scorecard 5.2 / 10
5.2Gesamtwert

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).Scorecard v5.5.0 · 2026-07-25 06:07 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-Tests5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 3/5 approved changesets -- score normalized to 6
10Contributorsproject has 26 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not 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 8
RegistryPaketVersionsvorgabeManifest
PyPIpyzmqpyproject.toml
PyPIPyYAMLpyproject.toml
PyPInumpypyproject.toml
PyPInetworkxpyproject.toml
PyPIpytest>=4pyproject.toml
PyPIzeroconfpyproject.toml
PyPIrichpyproject.toml
PyPIclickpyproject.toml
Alle Abhängigkeiten 8

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 8 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIclickdirekt
PyPInetworkxdirekt
PyPInumpydirekt
PyPIpytestdirekt
PyPIpyyamldirekt
PyPIpyzmqdirekt
PyPIrichdirekt
PyPIzeroconfdirekt
Abhängigkeits-Advisories 0

Die Installation von pypi:pelita@2.6.0 zieht 15 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
{
  "data": {
    "repo": {
      "topics": [
        "python",
        "educational-game",
        "hacktoberfest"
      ],
      "is_fork": false,
      "size_kb": 13699,
      "has_wiki": true,
      "homepage": "https://github.com/ASPP/pelita_template",
      "languages": {
        "Shell": 740,
        "Python": 594390
      },
      "pushed_at": "2026-07-09T10:57:32Z",
      "created_at": "2011-05-12T12:52:12Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-09T10:56:58Z",
      "description": "Actor-based Toolkit for Interactive Language Education in Python",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": null,
      "default_branch": "main",
      "license_spdx_raw": "NOASSERTION",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://aspp.school",
      "name": "Advanced Scientific Programming in Python",
      "type": "Organization",
      "login": "ASPP",
      "company": null,
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      "followers": 45,
      "avatar_url": "https://avatars.githubusercontent.com/u/1671817?v=4",
      "created_at": "2012-04-23T18:15:11Z",
      "is_verified": null,
      "public_repos": 76,
      "account_age_days": 5205
    },
    "license": {
      "state": "custom",
      "spdx_id": null,
      "raw_spdx": "NOASSERTION",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
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        {
          "tag": "v2.6.0",
          "kind": "minor",
          "published_at": "2025-09-24T07:11:31Z"
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        {
          "tag": "v2.6.0-rc2",
          "kind": "prerelease",
          "published_at": "2025-09-23T12:46:44Z"
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          "tag": "v2.6.0-rc1",
          "kind": "prerelease",
          "published_at": "2025-09-23T12:37:32Z"
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          "tag": "v2.5.3",
          "kind": "patch",
          "published_at": "2025-05-28T10:56:26Z"
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          "tag": "v2.5.2",
          "kind": "patch",
          "published_at": "2025-05-04T23:04:45Z"
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          "kind": "prerelease",
          "published_at": "2025-04-30T15:32:48Z"
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          "tag": "v2.5.1",
          "kind": "patch",
          "published_at": "2024-10-09T15:15:34Z"
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        {
          "tag": "v2.5.0",
          "kind": "minor",
          "published_at": "2024-08-08T16:32:45Z"
        },
        {
          "tag": "v2.4.0",
          "kind": "minor",
          "published_at": "2024-05-23T06:58:46Z"
        },
        {
          "tag": "v2.4.0-rc1",
          "kind": "prerelease",
          "published_at": "2024-05-22T14:57:35Z"
        },
        {
          "tag": "v2.3.2",
          "kind": "patch",
          "published_at": "2023-10-16T22:12:48Z"
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        {
          "tag": "v2.3.1",
          "kind": "patch",
          "published_at": "2023-09-02T13:34:03Z"
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          "tag": "v2.3.0",
          "kind": "minor",
          "published_at": "2023-08-31T09:20:11Z"
        },
        {
          "tag": "v2.3.0-rc1",
          "kind": "prerelease",
          "published_at": "2023-08-31T06:44:03Z"
        },
        {
          "tag": "v2.2.0",
          "kind": "minor",
          "published_at": "2022-09-08T13:54:01Z"
        },
        {
          "tag": "v2.2.0-rc1",
          "kind": "prerelease",
          "published_at": "2022-09-08T08:50:13Z"
        },
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          "tag": "v2.1.0",
          "kind": "minor",
          "published_at": "2021-08-25T10:11:21Z"
        },
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          "tag": "v2.1.0-rc1",
          "kind": "prerelease",
          "published_at": "2021-08-21T14:21:23Z"
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      "recent_commits": [
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          "oid": "f5e293d3189f0a18da6c9f00144d3dd0a2fc115a",
          "body": null,
          "is_bot": false,
          "headline": "Merge pull request #971 from Debilski/feature/fix-ci",
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          "oid": "a111b5d84dd3b74f85b31c2b1356e27ef0483316",
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          "headline": "ENH: Always return a new set in sample_nodes",
          "author_name": "Rike-Benjamin Schuppner",
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          "is_bot": false,
          "headline": "Merge pull request #967 from Debilski/feature/fix-progress",
          "author_name": "Tiziano Zito",
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          "oid": "ab0f069f068a114ba1a462584e0b3e18b263986c",
          "body": "Remove the concept of non fatal errors (IOW: make timeouts fatal)",
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          "committed_at": "2026-07-08T07:06:55Z",
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          "body": "Finalize Maze Generation",
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          "author_name": "Tiziano Zito",
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          "committed_at": "2026-07-08T07:05:57Z",
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                "key": "fuzzing",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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          },
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            "notes": [
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                "code": "advisories_scope_published",
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              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
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              "affected_packages": 0,
              "assessed_packages": 15,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
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            "components": [
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                "status": "met",
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      },
      {
        "key": "ai_readiness",
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                "key": "machine_readable_docs_llms_txt",
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              {
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              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
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                "max_points": 18
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                "points": 22,
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                "max_points": 22
              },
              {
                "key": "lint_format_config",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "static_type_checking",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
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                "key": "reproducible_environment",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_authored_commits",
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                "key": "automated_maintenance",
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          {
            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
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              "largest_source_bytes": 52309,
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                "points": 0,
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                "details": [
                  {
                    "code": "no_typecheck_config_language",
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                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/73 source files over 60KB",
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                "details": [
                  {
                    "code": "oversized_source_files",
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                      "oversized": 0
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                ],
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              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-25T06:07:56.583321Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/ASPP/pelita.svg",
  "full_name": "ASPP/pelita",
  "license_state": "custom",
  "license_spdx": null
}

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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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