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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 16:17 UTC

mpi4py / setup-mpi

Set up your GitHub Actions workflow to use MPI

Shell · PowerShellMIT★ 37 Sterne⑂ 5 Forksseit Apr. 2021Auf GitHub ansehen ↗

mpi4py/setup-mpi erreicht einen Gesundheitsindex von 55 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (73/100) ab, am schwächsten bei AI Readiness (21/100). Zuletzt vor 6 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

55
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.

55
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

MPI for PythonOrganisation
24 Follower7 öffentliche Reposseit Aug. 2013

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

Metriken nach Kategorie

Vitalität

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

73Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 6 Tagen
8.3/36Commit-Rhythmus — 12/52 Wochen mit Commits
11.3/18Commit-Volumen — 17 Commits im letzten Jahr
4/10OpenSSF Scorecard: Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
Verwendete Eingangsdaten
commits_last_year17
human_commit_share0,933
days_since_last_push6
active_weeks_last_year12
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 36 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 10 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 49,2 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count36
latest_release_tagv1.4.4
releases_from_tagsnein
days_since_latest_release10
mean_days_between_releases49,2
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?

39Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/60Stars — 37 Stars
5/25Forks — 5 Forks
0/15Watcher — 2 Watcher
Verwendete Eingangsdaten
forks5
stars37
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
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?

50Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 99 % der Commits
2.7/13.5Breite der Beitragenden — 2 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled2
top_contributor_share0,986
Wie die Bewertung erfolgt
37.4/46.8Issue-Lösungsquote — 80 % der Issues geschlossen
36.7/38.3PR-Annahme — 24/25 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/25 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs24
open_issues1
closed_issues4
issue_closed_ratio0,8
closed_unmerged_prs1
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
10.1/25Reichweite des Inhabers — 24 Follower von mpi4py
18.6/25Kontohistorie — 7 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers24
owner_typeOrganization
is_verified
owner_loginmpi4py
public_repos7
account_age_days4.728

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

48Gefährdet · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 1 Workflow(s)
0/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 13 out of 15 merged PRs checked by a CI test -- score normalized to 8
Verwendete Eingangsdaten
has_cija
has_testsnein
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
10/10Topics — 6 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsgithub-actions, actions, action, mpi, mpi-applications, mpi-libraries
has_wikija
homepage
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

64Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2/2.5CI-Tests — 13 out of 15 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/25 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 4 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
3/7.5Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
0/5Packaging — keine Daten
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4/5SAST — SAST tool is not run on all commits -- score normalized to 8
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6,4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, 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.

21Kritisch · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
20.6/40Lesbare Commit-Historie — 27 von 70 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,386
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
0/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 75
8/8Automatisierte Wartung — 5 der letzten 75 Commits sind automatisierte Abhängigkeits-Updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsnein
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,067
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Shell ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/1 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageShell
largest_source_bytes571
source_files_sampled1
oversized_source_files0

Eckdaten

37GitHub-Sterne
2Mitwirkende
17Commits, letzte 12 Monate
6Tage seit letztem Push
36Releases
1Bus-Faktor
1offene Issues
Paket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 5 ⇿
0Sterne
5Forks
24Releases

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.

12345512021-102023-072025-04
Major 0Minor 3Patch 21

Jeder Punkt umfasst 4 Tage.

OpenSSF Scorecard 6.4 / 10
6.4Gesamtwert

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 · 2026-07-26 16:17 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
8CI-Tests13 out of 15 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/25 approved changesets -- score normalized to 0
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
4Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
8SASTSAST tool is not run on all commits -- score normalized to 8
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten 0

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

RegistryPaketVersionBeziehung
Abhängigkeits-Advisories nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies to assess

JSON-Rohbericht maschinenlesbar
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                "key": "openssf_scorecard_signed_releases",
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            "key": "popularity",
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                "key": "openssf_scorecard_contributors",
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            "key": "responsiveness",
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                "points": 37.4,
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                      "share": 80
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                "max_points": 46.75
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                "key": "pr_acceptance",
                "name": "PR acceptance",
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              {
                "key": "openssf_scorecard_code_review",
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            "key": "stewardship",
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            "notes": [],
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              "followers": 24,
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                "key": "ownership_backing",
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                    "code": "owner_organization",
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                "max_points": 30
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                "key": "verified_domain",
                "name": "Verified domain",
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                "key": "owner_reach",
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                "max_points": 25
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              {
                "key": "track_record",
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                  {
                    "code": "account_age_years",
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                      "years": 12
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                "max_points": 25
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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      {
        "key": "engineering",
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        "name": "Engineering Quality",
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                "key": "ci_workflows",
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                "key": "tests_present",
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                "key": "linter_config",
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                "key": "pre_commit_hooks",
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                "key": "editorconfig",
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              {
                "key": "openssf_scorecard_ci_tests",
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          },
          {
            "key": "documentation",
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            "inputs": {
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              "has_wiki": true,
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                "key": "topics",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "key": "security",
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              },
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            "value": 64,
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                "key": "binary_artifacts",
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              },
              {
                "key": "branch_protection",
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                "key": "code_review",
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              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 4 contributing companies or organizations",
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              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "points": 10,
                "status": "met",
                "details": [],
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              },
              {
                "key": "license",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
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              {
                "key": "packaging",
                "name": "Packaging",
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                "status": "excluded",
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                "key": "pinned_dependencies",
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                "status": "missed",
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              },
              {
                "key": "sast",
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              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "details": [
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                    "code": "no_data",
                    "params": {}
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                "max_points": 7.5
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                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "GitHub workflow tokens follow principle of least privilege",
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                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
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              "meaning": "self-published location evidence; not nationality or citizenship",
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                "Iran",
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            "components": [
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                "key": "policy_exposure_multiplier",
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                "details": [
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                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
        "value": 21,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
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            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.386,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
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                "status": "missed",
                "details": [
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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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                "points": 20.6,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 27,
                      "sampled": 70
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                  }
                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "critical",
            "name": "Verify loop (build / test / typecheck)",
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            "notes": [],
            "value": 8,
            "inputs": {
              "has_nix": false,
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              "lockfiles": [],
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              "typed_language": false,
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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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