Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-27 09:59 UTC
nanoframework / nf-interpreter
:gear: nanoFramework Interpreter, CLR, HAL, PAL and reference target boards
nanoframework/nf-interpreter erreicht einen Gesundheitsindex von 67 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Community & Adoption (79/100) ab, am schwächsten bei Engineering Quality (55/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
67
gesamt / 100Software-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.
67
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)
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
.NET nanoFrameworkOrganisation
901 Follower102 öffentliche Reposseit Nov. 2016
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?
70
Entwicklungsaktivität
88Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 23.5/36 | Commit-Rhythmus — 34/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 187 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 187 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 34 |
Release-Disziplin
44Gefährdet
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 13 Releases veröffentlicht |
| 0/36 | Release-Aktualität — letztes Release vor 989 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 138,8 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 13 |
| latest_release_tag | v1.9.0 |
| releases_from_tags | nein |
| days_since_latest_release | 989 |
| mean_days_between_releases | 138,8 |
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?
79
Popularität & Verbreitung
67Mittel
Wie die Bewertung erfolgt
| 41.2/60 | Stars — 350 Stars |
| 19/25 | Forks — 193 Forks |
| 6.8/15 | Watcher — 18 Watcher |
Verwendete Eingangsdaten
| forks | 193 |
| stars | 350 |
| watchers | 18 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
92Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | ja |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
65
Maintainer-Resilienz (Bus-Faktor)
39Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 6.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 72 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 66 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 66 |
| top_contributor_share | 0,719 |
Wie die Bewertung erfolgt
| 0/46.8 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 34.2/38.3 | PR-Annahme — 2.989/3.342 entschiedene PRs gemergt |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 21/30 approved changesets -- score normalized to 7 |
Verwendete Eingangsdaten
| merged_prs | 2.989 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 353 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 21.2/25 | Reichweite des Inhabers — 901 Follower von nanoframework |
| 25/25 | Kontohistorie — 102 öffentliche Repos, Kontoalter ca. 9 Jahre |
Verwendete Eingangsdaten
| followers | 901 |
| owner_type | Organization |
| is_verified | — |
| owner_login | nanoframework |
| public_repos | 102 |
| account_age_days | 3.531 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
55
Engineering-Praktiken
48Gefährdet
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 10 Workflow(s) |
| 0/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 6.4/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 23 out of 25 merged PRs checked by a CI test -- score normalized to 9 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | nein |
| has_editorconfig | ja |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://www.nanoframework.net |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 19 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | dotnet, csharp, microcontroller, interpreter, clr, esp32, stm32, mcu, gpio, spi, pwm, i2c, adc, serial-communication, nanoframework-interpreter, firmware, pal, hacktoberfest, nanoframework |
| has_wiki | nein |
| homepage | https://www.nanoframework.net |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
66
Sicherheitslage
57Mittel
Wie die Bewertung erfolgt
| 4.5/7.5 | Binary-Artifacts — binaries present in source code |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.2/2.5 | CI-Tests — 23 out of 25 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 21/30 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 20 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 4.5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,7 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 4 |
| unassessed_packages | 1 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 4 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 1 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. 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.
67
AI-Agentenkontext & Leitlinien
85Exzellent
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — .github/copilot-instructions.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 75 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,75 |
| agent_instruction_files | .github/copilot-instructions.md |
| agent_instruction_max_bytes | 13.180 |
AI-Verify-Loop (Build / Test / Typprüfung)
42Gefährdet
Wie die Bewertung erfolgt
| 12.6/18 | Bootstrap mit einem Befehl — CMake/Scripts/bin2uf2/bin2uf2.csproj, targets/netcore/nanoFramework.nanoCLR.CLI/nanoFramework.nanoCLR.CLI.csproj, targets/netcore/nanoFramework.nanoCLR.Host/nanoFramework.nanoCLR.Host.csproj (Toolchain-Konvention, kein Task-Runner) |
| 0/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — C (statisch typisiert) |
| 10/10 | Reproduzierbare Umgebung — devcontainer, Dockerfile, lockfile |
| 8/10 | Belegte Agentenpraxis — 4 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | nein |
| lockfiles | packages.lock.json |
| has_dockerfile | ja |
| typed_language | ja |
| bootstrap_files | — |
| has_devcontainer | ja |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0,04 |
| toolchain_manifests | CMake/Scripts/bin2uf2/bin2uf2.csproj, targets/netcore/nanoFramework.nanoCLR.CLI/nanoFramework.nanoCLR.CLI.csproj, targets/netcore/nanoFramework.nanoCLR.Host/nanoFramework.nanoCLR.Host.csproj |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
99Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C (statisch typisiert) |
| 53.9/55 | Handhabbare Dateigrößen — 44/2.153 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C |
| largest_source_bytes | 2.724.529 |
| source_files_sampled | 2.153 |
| oversized_source_files | 44 |
Eckdaten
350GitHub-Sterne
66Mitwirkende
187Commits, letzte 12 Monate
0Tage seit letztem Push
13Releases
1Bus-Faktor
0offene 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 ★ / 193 ⇿
0Sterne
193Forks
13Releases
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.
Major 1Minor 1Patch 2
Jeder Punkt umfasst 9 Tage.
OpenSSF Scorecard 5.7 / 10
5.7Gesamtwert
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).
| 6 | Binary-Artifacts | binaries present in source code |
| k. A. | Branch-Protection | internal 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 |
| 9 | CI-Tests | 23 out of 25 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 21/30 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 20 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 9 | Security-Policy | security policy file detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Alle Abhängigkeiten 5
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 5 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| NuGet | CommandLineParser | 2.9.1 | indirekt |
| NuGet | Nerdbank.GitVersioning | 3.9.50 | indirekt |
| NuGet | System.IO.Ports | 8.0.0 | indirekt |
| NuGet | System.Security.Principal.Windows | 5.0.0 | indirekt |
| PyPI | kconfiglib | — | indirekt |
Abhängigkeits-Advisories 0
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 4 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 0 tragen bekannte Advisories, davon 0 direkte. 1 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
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
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"points": 35,
"status": "met",
"details": [
{
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}
],
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},
{
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{
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}
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},
{
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{
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}
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},
{
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"note": null,
"notes": [],
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"inputs": {
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"red_flag": false,
"assessed_packages": 4,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
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"key": "no_dependency_reported_as_a_malicious_package",
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"params": {}
}
],
"max_points": 100
}
]
},
{
"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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"exposures": [],
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],
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},
"components": [
{
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{
"code": "jurisdiction_no_match",
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}
],
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}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
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"name": "AI Readiness",
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"weight": 0,
"metrics": [
{
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"note": null,
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"legible_history_share": 0.75,
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},
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{
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}
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},
{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
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{
"code": "legible_history",
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}
],
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}
]
},
{
"key": "ai_verify_loop",
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"note": null,
"notes": [],
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"inputs": {
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"has_tests": false,
"lockfiles": [
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],
"has_dockerfile": true,
"typed_language": true,
"bootstrap_files": [],
"has_devcontainer": true,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": 0.04,
"toolchain_manifests": [
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"targets/netcore/nanoFramework.nanoCLR.CLI/nanoFramework.nanoCLR.CLI.csproj",
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],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
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"detail": "CMake/Scripts/bin2uf2/bin2uf2.csproj, targets/netcore/nanoFramework.nanoCLR.CLI/nanoFramework.nanoCLR.CLI.csproj, targets/netcore/nanoFramework.nanoCLR.Host/nanoFramework.nanoCLR.Host.csproj (toolchain convention, no task runner)",
"points": 12.6,
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{
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"params": {
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}
}
],
"max_points": 18
},
{
"key": "automated_tests",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "C (statically typed)",
"points": 11,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
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}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "devcontainer, Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "devcontainer, Dockerfile, lockfile"
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}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "4 of the last 100 commits agent-authored or agent-credited",
"points": 8,
"status": "partial",
"details": [
{
"code": "agent_authored_commits",
"params": {
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"sampled": 100
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}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "excellent",
"name": "Code legibility for models",
"note": null,
"notes": [],
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"inputs": {
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"largest_source_bytes": 2724529,
"source_files_sampled": 2153,
"oversized_source_files": 44
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "C (statically typed)",
"points": 45,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
"language": "C"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "44/2153 source files over 60KB",
"points": 53.9,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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"kb": 60,
"sampled": 2153,
"oversized": 44
}
}
],
"max_points": 55
}
]
}
],
"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": "2026-07-27T09:59:05.752579Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/nanoframework/nf-interpreter.svg",
"full_name": "nanoframework/nf-interpreter",
"license_state": "standard",
"license_spdx": "MIT"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
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.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.