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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-16 01:12 UTC

canonical / Pebble

Pebble is a lightweight Linux service manager with layered configuration and an HTTP API

GoGPL-3.0★ 202 Sterne⑂ 74 Forksseit Nov. 2020Auf GitHub ansehen ↗

canonical/Pebble erreicht einen Gesundheitsindex von 77 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (91/100) ab, am schwächsten bei AI Readiness (54/100). Zuletzt vor 8 Tagen aktualisiert. 3 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

CanonicalOrganisation
3.844 Follower2.369 öffentliche Reposseit Juli 2019

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
Gogithub.com/canonical/pebblev1.32.0-54vor 15 Tagen

Metriken nach Kategorie

Vitalität

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

91Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 8 Tagen
29.8/36Commit-Rhythmus — 43/52 Wochen mit Commits
18/18Commit-Volumen — 163 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year163
human_commit_share
days_since_last_push8
active_weeks_last_year43

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 54 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 14 Tagen
27/27Release-Rhythmus — ein Release etwa alle 17 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count54
latest_release_tagv1.32.0-fips
releases_from_tagsnein
days_since_latest_release14
mean_days_between_releases17

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

61Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
37.4/60Stars — 202 Stars
15.5/25Forks — 74 Forks
5.3/15Watcher — 10 Watcher
Verwendete Eingangsdaten
forks74
stars202
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (GPL-3.0)
0/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

83Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
36/54Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab
14.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 34 % der Commits
13.5/13.5Breite der Beitragenden — 48 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor3
contributors_sampled48
top_contributor_share0,343
Wie die Bewertung erfolgt
43.7/46.8Issue-Lösungsquote — 94 % der Issues geschlossen
31.4/38.3PR-Annahme — 551/671 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs551
open_issues15
closed_issues216
issue_closed_ratio0,935
closed_unmerged_prs120
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 3.844 Follower von canonical
25/25Kontohistorie — 2.369 öffentliche Repos, Kontoalter ca. 6 Jahre
Verwendete Eingangsdaten
followers3.844
owner_typeOrganization
is_verified
owner_logincanonical
public_repos2.369
account_age_days2.554

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf go
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 15 Tagen
20/20Versionshistorie — 54 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesgithub.com/canonical/pebble
ecosystemsgo
any_deprecatednein
min_days_since_publish15

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

72Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 11 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://ubuntu.com/docs/pebble/
10/10Repository-Beschreibung
10/10Topics — 3 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsapi, go, service-manager
has_wikinein
homepagehttps://ubuntu.com/docs/pebble/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

73Gut · 16 % des Gesamtindex
Wie die Bewertung erfolgt
30/30Sicherheitsrichtlinie (SECURITY.md)
25/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet
0/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfilesgo.sum
manifestsdocs/requirements.txt, go.mod
has_codeql_workflownein
has_security_policyja
has_dependabot_configja
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. 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.

54Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
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 — docs/Makefile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — Go (statisch typisiert)
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesgo.sum
has_dockerfilenein
typed_languageja
bootstrap_filesdocs/Makefile
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — Go (statisch typisiert)
54.5/55Handhabbare Dateigrößen — 3/353 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageGo
largest_source_bytes77.309
source_files_sampled353
oversized_source_files3
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — docs/_extra/openapi.yaml, docs/specs/openapi.yaml
0/20MCP-Server
0/40Lauffähige Beispiele
Verwendete Eingangsdaten
example_dirs
has_mcp_signalnein
api_schema_filesdocs/_extra/openapi.yaml, docs/specs/openapi.yaml

Eckdaten

202GitHub-Sterne
48Mitwirkende
163Commits, letzte 12 Monate
8Tage seit letztem Push
54Releases
3Bus-Faktor
15offene Issues
Go, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Weitere Details

Direkte Abhängigkeiten 11
RegistryPaketVersionsvorgabeManifest
Gogithub.com/GehirnInc/cryptv0.0.0-20230320061759-8cc1b52080c5go.mod
Gogithub.com/canonical/go-flagsv0.0.0-20230403090104-105d09a091b8go.mod
Gogithub.com/canonical/x-gov0.0.0-20230522092633-7947a7587f5bgo.mod
Gogithub.com/gorilla/muxv1.8.1go.mod
Gogithub.com/gorilla/websocketv1.5.3go.mod
Gogithub.com/pkg/termv1.1.0go.mod
Gogolang.org/x/sysv0.46.0go.mod
Gogolang.org/x/termv0.44.0go.mod
Gogopkg.in/check.v1v1.0.0-20201130134442-10cb98267c6cgo.mod
Gogopkg.in/tomb.v2v2.0.0-20161208151619-d5d1b5820637go.mod
Gogopkg.in/yaml.v3v3.0.1go.mod
Alle Abhängigkeiten 41

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 11 direkte und 30 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
Gogithub.com/canonical/go-flagsv0.0.0-20230403090104-105d09a091b8direkt
Gogithub.com/canonical/x-gov0.0.0-20230522092633-7947a7587f5bdirekt
Gogithub.com/gehirninc/cryptv0.0.0-20230320061759-8cc1b52080c5direkt
Gogithub.com/gorilla/muxv1.8.1direkt
Gogithub.com/gorilla/websocketv1.5.3direkt
Gogithub.com/pkg/termv1.1.0direkt
Gogolang.org/x/sysv0.46.0direkt
Gogolang.org/x/termv0.44.0direkt
Gogopkg.in/check.v1v1.0.0-20201130134442-10cb98267c6cdirekt
Gogopkg.in/tomb.v2v2.0.0-20161208151619-d5d1b5820637direkt
Gogopkg.in/yaml.v3v3.0.1direkt
Gogithub.com/kr/prettyv0.2.1indirekt
Gogithub.com/kr/textv0.2.0indirekt
Gogolang.org/x/netv0.56.0indirekt
Gogopkg.in/yaml.v2v2.4.0indirekt
PyPIcanonical-sphinxindirekt
PyPImyst-parserindirekt
PyPIpackagingindirekt
PyPIrst2htmlindirekt
PyPIsphinx-autobuildindirekt
PyPIsphinx-config-optionsindirekt
PyPIsphinx-contributor-listingindirekt
PyPIsphinx-design0.6.1indirekt
PyPIsphinx-filtered-toctreeindirekt
PyPIsphinx-last-updated-by-gitindirekt
PyPIsphinx-llmindirekt
PyPIsphinx-notfound-pageindirekt
PyPIsphinx-related-linksindirekt
PyPIsphinx-rerediraffeindirekt
PyPIsphinx-reredirects0.1.6indirekt
PyPIsphinx-rolesindirekt
PyPIsphinx-sitemapindirekt
PyPIsphinx-tabsindirekt
PyPIsphinx-terminalindirekt
PyPIsphinx-ubuntu-imagesindirekt
PyPIsphinx-youtube-linksindirekt
PyPIsphinxcontrib-jqueryindirekt
PyPIsphinxcontrib-mermaidindirekt
PyPIsphinxcontrib-svg2pdfconverterindirekt
PyPIsphinxext-opengraphindirekt
PyPIvaleindirekt
JSON-Rohbericht maschinenlesbar
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          "ecosystem": "go",
          "version_constraint": "v1.1.0"
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          "name": "golang.org/x/sys",
          "manifest": "go.mod",
          "ecosystem": "go",
          "version_constraint": "v0.46.0"
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        {
          "name": "golang.org/x/term",
          "manifest": "go.mod",
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            "direct": false,
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        "name": "Engineering Quality",
        "value": 72,
        "weight": 0.2,
        "metrics": [
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            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 60,
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                "key": "ci_workflows",
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                "details": [
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                "max_points": 24
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              {
                "key": "tests_present",
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                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
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                "points": 0,
                "status": "missed",
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                "max_points": 16
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                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
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            ]
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          {
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                "service-manager"
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              "has_docs_dir": true,
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                "points": 30,
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                "status": "met",
                "details": [],
                "max_points": 15
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              {
                "key": "repository_description",
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                "max_points": 10
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              {
                "key": "topics",
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                "max_points": 10
              },
              {
                "key": "wiki",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
        "band": "good",
        "name": "Security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
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            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
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                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
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                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
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                "key": "codeql_workflow",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
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          },
          {
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            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
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                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 9
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            "components": [
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                "key": "policy_exposure_multiplier",
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                "points": 100,
                "status": "met",
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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",
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        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
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              },
              {
                "code": "weights_renormalized",
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              "legible_history_share": null,
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
                    "params": {}
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                "max_points": 45
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              {
                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
                  }
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                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
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            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 82,
            "inputs": {
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              "has_dockerfile": false,
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              "toolchain_manifests": [],
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            "components": [
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                "status": "met",
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                "max_points": 18
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              {
                "key": "automated_tests",
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                "status": "met",
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                "status": "missed",
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              {
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                "detail": "Go (statically typed)",
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              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
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                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 10
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              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
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                "details": [
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
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                "status": "excluded",
                "details": [
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                    "params": {}
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            "band": "excellent",
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            "notes": [],
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            "components": [
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                "key": "type_checkable_code",
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                "status": "met",
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            "key": "ai_interfaces",
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            "notes": [],
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                "points": 40,
                "status": "met",
                "details": [
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                "max_points": 40
              },
              {
                "key": "mcp_server",
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                "points": 0,
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                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
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                "points": 0,
                "status": "missed",
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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."
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    "metrics_version": "1.13.0"
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  "warnings": [
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-16T01:12:19.460169Z",
  "schema_version": "0.11.0",
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}

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