Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-23 06:21 UTC

luu176 / Metroflip

Metroflip is a multi-protocol metro card reader app for the Flipper Zero, inspired by the Metrodroid project. It enables the parsing and analysis of metro cards from transit systems around the world, providing a proof-of-concept for exploring transit card data in a portable format.

CGPL-3.0★ 191 Sterne⑂ 20 Forksseit Nov. 2024Auf GitHub ansehen ↗

luu176/Metroflip erreicht einen Gesundheitsindex von 54 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (73/100) ab, am schwächsten bei AI Readiness (26/100). Zuletzt vor 21 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

54
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.

54
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

LuuPersönliches Konto
63 Follower24 öffentliche Reposseit Sept. 2022

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Metriken nach Kategorie

Vitalität

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

73Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 21 Tagen
14.5/36Commit-Rhythmus — 21/52 Wochen mit Commits
18/18Commit-Volumen — 146 Commits im letzten Jahr
5/10OpenSSF Scorecard: Maintained — 4 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 5
Verwendete Eingangsdaten
commits_last_year146
human_commit_share1
days_since_last_push21
active_weeks_last_year21
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 12 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 21 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 48,2 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count12
latest_release_tagv2.0
releases_from_tagsnein
days_since_latest_release21
mean_days_between_releases48,2

Community & Verbreitung

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

51Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
37/60Stars — 191 Stars
10.7/25Forks — 20 Forks
3.9/15Watcher — 6 Watcher
Verwendete Eingangsdaten
forks20
stars191
watchers6
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
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?

60Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
11.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 50 % der Commits
13.5/13.5Breite der Beitragenden — 10 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled10
top_contributor_share0,497
Wie die Bewertung erfolgt
31.2/46.8Issue-Lösungsquote — 67 % der Issues geschlossen
37.1/38.3PR-Annahme — 63/65 entschiedene PRs gemergt
1.5/15OpenSSF Scorecard: Code-Review — Found 4/25 approved changesets -- score normalized to 1
Verwendete Eingangsdaten
merged_prs63
open_issues10
closed_issues20
issue_closed_ratio0,667
closed_unmerged_prs2
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
13/25Reichweite des Inhabers — 63 Follower von luu176
18/25Kontohistorie — 24 öffentliche Repos, Kontoalter ca. 3 Jahre
Verwendete Eingangsdaten
followers63
owner_typeUser
is_verified
owner_loginluu176
public_repos24
account_age_days1.420
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

43Gefährdet · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
0/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests — 1 out of 4 merged PRs checked by a CI test -- score normalized to 2
Verwendete Eingangsdaten
has_cija
has_testsnein
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://lab.flipper.net/apps/metroflip
10/10Repository-Beschreibung
10/10Topics — 4 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsflipperzero, metro, nfc, metroflip
has_wikinein
homepagehttps://lab.flipper.net/apps/metroflip
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

35Gefährdet · 16 % des Gesamtindex

Sicherheitslage

35Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0.5/2.5CI-Tests — 1 out of 4 merged PRs checked by a CI test -- score normalized to 2
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 4/25 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 5 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
3.8/7.5Maintained — 4 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 5
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3,5
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging. 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.

26Kritisch · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
9.6/40Lesbare Commit-Historie — 18 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,18
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
0/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
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_testsnein
lockfiles
has_dockerfilenein
typed_languageja
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — C (statisch typisiert)
53.6/55Handhabbare Dateigrößen — 2/77 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC
largest_source_bytes155.080
source_files_sampled77
oversized_source_files2

Eckdaten

191GitHub-Sterne
10Mitwirkende
146Commits, letzte 12 Monate
21Tage seit letztem Push
12Releases
2Bus-Faktor
10offene 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 ★ / 20 ⇿
0Sterne
20Forks
9Releases

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.

0481216201922024-112025-092026-06
Major 0Minor 0Patch 0

Jeder Punkt umfasst 2 Tage.

OpenSSF Scorecard 3.5 / 10
3.5Gesamtwert

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 · 2026-07-23 06:20 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
2CI-Tests1 out of 4 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/25 approved changesets -- score normalized to 1
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
5Maintained4 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 5
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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
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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          {
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                "metro",
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                "metroflip"
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              "has_wiki": false,
              "homepage": "https://lab.flipper.net/apps/metroflip",
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              "has_docs_dir": false,
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            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://lab.flipper.net/apps/metroflip",
                "points": 15,
                "status": "met",
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                "max_points": 15
              },
              {
                "key": "repository_description",
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                "detail": null,
                "points": 10,
                "status": "met",
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              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "4 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
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                      "count": 4
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                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
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                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "at_risk",
        "name": "Security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
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            "notes": [
              {
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                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
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            "value": 35,
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              "checks_inconclusive": 1,
              "scorecard_aggregate": 3.5
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                "points": 7.5,
                "status": "met",
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              {
                "key": "branch_protection",
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              {
                "key": "cii_best_practices",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "code_review",
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                "detail": "project has 5 contributing companies or organizations",
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              {
                "key": "dangerous_workflow",
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                "points": 10,
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                "details": [],
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              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "4 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 5",
                "points": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
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              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                "max_points": 5
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
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                "points": 0,
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                "max_points": 5
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              {
                "key": "signed_releases",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
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              {
                "key": "vulnerabilities",
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                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "name": "High-Risk Jurisdiction Exposure",
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            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
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            "value": 100,
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              "red_flag": false,
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              "policy_countries": [
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                "Iran",
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              "review_only_matches": 0,
              "assessed_self_published_locations": 10
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            "components": [
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                "name": "Policy exposure multiplier",
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                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
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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": "critical",
        "name": "AI Readiness",
        "value": 26,
        "weight": 0,
        "metrics": [
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            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 10,
            "inputs": {
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              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
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            "components": [
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                "key": "agent_instructions",
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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",
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                "max_points": 45
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              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
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                "details": [],
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              {
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                "status": "partial",
                "details": [
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                    "code": "legible_history",
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                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
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            "note": null,
            "notes": [],
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            "inputs": {
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              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": true,
              "bootstrap_files": [],
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              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
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            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "automated_tests",
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                "points": 0,
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                "points": 0,
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              {
                "key": "static_type_checking",
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                    "code": "statically_typed_language",
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                "max_points": 11
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              {
                "key": "reproducible_environment",
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              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
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                "key": "automated_maintenance",
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                "key": "openssf_scorecard_pinned_dependencies",
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          },
          {
            "key": "ai_code_legibility",
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            "notes": [],
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                "detail": "C (statically typed)",
                "points": 45,
                "status": "met",
                "details": [
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              {
                "key": "manageable_file_sizes",
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                "detail": "2/77 source files over 60KB",
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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": "2026-07-23T06:21:08.993374Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/luu176/Metroflip.svg",
  "full_name": "luu176/Metroflip",
  "license_state": "standard",
  "license_spdx": "GPL-3.0"
}

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