Öffentliches RegisterGefährdet
Software-GesundheitsberichtSchema 0.17.0 · Metriken 1.13.0 · 2026-07-21 06:12 UTC
GDRETools / gdsdecomp
Godot reverse engineering tools
GDRETools/gdsdecomp erreicht einen Gesundheitsindex von 32 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Vitality (91/100) ab, am schwächsten bei Security (27/100). Zuletzt vor 4 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
32
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.
32
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.
Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 50 % auf die gewichtete Gesamtgesundheit an und begrenzt sie auf die Obergrenze Gefährdet von 49.
Eigentümerschaft
GDREToolsOrganisation
65 Follower4 öffentliche Reposseit Nov. 2024
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| crates.io | vtracerverweist auf ein anderes Repo — nicht bewertet | 0.6.5 | 6.334 | 12 | vor 276 Tagen | computer-graphicssvggraphics |
| PyPI | vtracerverweist auf ein anderes Repo — nicht bewertet | 0.6.15 | 250.132 | 4 | vor 119 Tagen | — |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
91
Entwicklungsaktivität
92Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 4 Tagen |
| 27.7/36 | Commit-Rhythmus — 40/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 1.328 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 1.328 |
| human_commit_share | — |
| days_since_last_push | 4 |
| active_weeks_last_year | 40 |
Release-Disziplin
90Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 84 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 4 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 13,8 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 84 |
| latest_release_tag | v2.6.0 |
| releases_from_tags | nein |
| days_since_latest_release | 4 |
| mean_days_between_releases | 13,8 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
70
Popularität & Verbreitung
88Exzellent
Wie die Bewertung erfolgt
| 58.3/60 | Stars — 3.902 Stars |
| 20.5/25 | Forks — 290 Forks |
| 8.9/15 | Watcher — 41 Watcher |
Verwendete Eingangsdaten
| forks | 290 |
| stars | 3.902 |
| watchers | 41 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
51
Maintainer-Resilienz (Bus-Faktor)
27Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 1.1/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 95 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 17 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 17 |
| top_contributor_share | 0,951 |
Wie die Bewertung erfolgt
| 39.8/46.8 | Issue-Lösungsquote — 85 % der Issues geschlossen |
| 35.7/38.3 | PR-Annahme — 197/211 entschiedene PRs gemergt |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 1/4 approved changesets -- score normalized to 2 |
Verwendete Eingangsdaten
| merged_prs | 197 |
| open_issues | 32 |
| closed_issues | 184 |
| issue_closed_ratio | 0,852 |
| closed_unmerged_prs | 14 |
Eigentümerschaft & Trägerschaft
52Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 13.1/25 | Reichweite des Inhabers — 65 Follower von GDRETools |
| 8.4/25 | Kontohistorie — 4 öffentliche Repos, Kontoalter ca. 1 Jahre |
Verwendete Eingangsdaten
| followers | 65 |
| owner_type | Organization |
| is_verified | — |
| owner_login | GDRETools |
| public_repos | 4 |
| account_age_days | 601 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
71
Engineering-Praktiken
68Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 3 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 4 out of 4 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
27
Sicherheitslage
18Kritisch
Jurisdiktionsrisiko-Warnung
Exposition gegenüber einer Hochrisikojurisdiktion erkannt
1 Profile wichtiger MitwirkenderRussiaSicherheit und Gesamtbewertung: Obergrenze Gefährdet
Grundlage sind selbst veröffentlichte öffentliche Profilstandorte. Dieses Governance-Signal bestimmt weder Nationalität, Staatsangehörigkeit, Absicht, Sanktionsstatus noch persönliche Vertrauenswürdigkeit.
So wird Jurisdiktionsexposition bewertetWie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 4 out of 4 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 1/4 approved changesets -- score normalized to 2 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 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 12 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 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 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 3,6 |
| high_risk_jurisdiction_cap | 49 |
| high_risk_jurisdiction_multiplier | 50 |
| security_posture_after_multiplier | 18 |
| security_posture_before_jurisdiction | 37 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging. Die verbleibenden Gewichte wurden renormalisiert. Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 50 % an und begrenzt die Sicherheitslage auf die Obergrenze Gefährdet von 49.
Abhängigkeits-Advisories
61Mittel
Wie die Bewertung erfolgt
| 14/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: pyo3 0.19.2 (high 7.5) |
| 17.3/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — 3 betroffen: atty 0.2.14 (low), adler 1.0.2 (unknown), ansi_term 0.12.1 (unknown) |
| 29.4/40 | Keine offenen Advisories — 4 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 1.842 Tagen veröffentlicht |
Verwendete Eingangsdaten
| source | osv |
| advisories | 10 |
| affected_packages | 4 |
| assessed_packages | 69 |
| unassessed_packages | 0 |
| affected_by_severity | high 1, low 1, unknown 2 |
| direct_affected_packages | 1 |
Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von crates:vtracer@0.6.5 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 69 Paketen. Erreichbarkeit wird nicht analysiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
42
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| 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
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — C++ (statisch typisiert) |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | Cargo.lock |
| has_dockerfile | nein |
| typed_language | ja |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
98Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C++ (statisch typisiert) |
| 52.7/55 | Handhabbare Dateigrößen — 19/463 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C++ |
| largest_source_bytes | 982.896 |
| source_files_sampled | 463 |
| oversized_source_files | 19 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — sample |
Verwendete Eingangsdaten
| example_dirs | sample |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
3.902GitHub-Sterne
17Mitwirkende
1.328Commits, letzte 12 Monate
4Tage seit letztem Push
84Releases
1Bus-Faktor
32offene Issues
—Paket-Ökosysteme
Warnungen zur Datenerhebung
- crates package 'vtracer' points at a different repository (https://github.com/visioncortex/vtracer/); excluded from ecosystem scoring
- pypi package 'vtracer' points at a different repository (http://www.visioncortex.org/vtracer); excluded from ecosystem scoring
Weitere Details
Stern- und Fork-Verlauf 3.902 ★ / 0 ⇿
3.902Sterne
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.
Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.
OpenSSF Scorecard 3.6 / 10
3.6Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 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 |
| 10 | CI-Tests | 4 out of 4 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 1/4 approved changesets -- score normalized to 2 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 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 12 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not 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 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
Direkte Abhängigkeiten 9
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| crates.io | clap | 2.33.3 | external/vtracer/Cargo.toml |
| crates.io | image | 0.23.10 | external/vtracer/Cargo.toml |
| crates.io | visioncortex | — | external/vtracer/Cargo.toml |
| crates.io | pyo3 | 0.19.0 | external/vtracer/Cargo.toml |
| crates.io | gifski | 1.34.0 | external/vtracer/Cargo.toml |
| NuGet | ICSharpCode.Decompiler | 10.0.0.8331 | godot-mono-decomp/GodotMonoDecomp/GodotMonoDecomp.csproj |
| NuGet | ICSharpCode.ILSpyX | 10.0.0.8331 | godot-mono-decomp/GodotMonoDecomp/GodotMonoDecomp.csproj |
| NuGet | NuGet.Packaging | 6.14.0 | godot-mono-decomp/GodotMonoDecomp/GodotMonoDecomp.csproj |
| NuGet | CommandLineParser | 2.9.1 | godot-mono-decomp/GodotMonoDecompCLI/GodotMonoDecompCLI.csproj |
Alle Abhängigkeiten 4
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 4 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| NuGet | CommandLineParser | 2.9.1 | direkt |
| NuGet | ICSharpCode.Decompiler | 10.0.0.8331 | direkt |
| NuGet | ICSharpCode.ILSpyX | 10.0.0.8331 | direkt |
| NuGet | NuGet.Packaging | 6.14.0 | direkt |
Abhängigkeits-Advisories 4
Die Installation von crates:vtracer@0.6.5 zieht 69 Pakete nach sich, direkt und transitiv: 4 tragen bekannte Advisories, davon 1 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| pyo3 | 0.19.2 | direkt | hoch | 5 | 0.29.0 |
| atty | 0.2.14 | indirekt | niedrig | 3 | — |
| adler | 1.0.2 | indirekt | unbekannt | 1 | — |
| ansi_term | 0.12.1 | indirekt | unbekannt | 1 | — |
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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"PowerShell": 16955
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"pushed_at": "2026-07-16T10:31:45Z",
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"latest_published_at": "2025-10-17T21:11:03.308034Z",
"latest_version_yanked": false,
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},
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"matches_repo": false,
"registry_url": "https://pypi.org/project/vtracer/",
"is_deprecated": false,
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"points": 17.3,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
"count": 3,
"packages": "atty 0.2.14 (low), adler 1.0.2 (unknown), ansi_term 0.12.1 (unknown)"
}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "4 advisory-carrying package(s) unaddressed past 90 days; oldest published 1842 days ago",
"points": 29.4,
"status": "partial",
"details": [
{
"code": "advisories_stale",
"params": {
"days": 90,
"count": 4,
"oldest": 1842
}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 69,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "moderate",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 50,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": true,
"exposures": [
{
"role": "top_contributor",
"count": 1,
"country": "Russia"
}
],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 5
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "Russia: top_contributor (1)",
"points": 50,
"status": "partial",
"details": [
{
"code": "jurisdiction_exposure",
"params": {
"role": "top_contributor",
"count": 1,
"country": "Russia"
}
}
],
"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",
"band": "at_risk",
"name": "AI Readiness",
"value": 42,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"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": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 52,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"Cargo.lock"
],
"has_dockerfile": false,
"typed_language": true,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"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": {
"language": "C++"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"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": [],
"value": 98,
"inputs": {
"primary_language": "C++",
"largest_source_bytes": 982896,
"source_files_sampled": 463,
"oversized_source_files": 19
},
"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": "19/463 source files over 60KB",
"points": 52.7,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 463,
"oversized": 19
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"sample"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "sample",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "sample"
}
}
],
"max_points": 40
}
]
}
],
"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": [
"crates package 'vtracer' points at a different repository (https://github.com/visioncortex/vtracer/); excluded from ecosystem scoring",
"pypi package 'vtracer' points at a different repository (http://www.visioncortex.org/vtracer); excluded from ecosystem scoring"
],
"report_type": "repository",
"generated_at": "2026-07-21T06:12:47.941318Z",
"schema_version": "0.17.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/GDRETools/gdsdecomp.svg",
"full_name": "GDRETools/gdsdecomp",
"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 v0.17.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — crates.io, PyPI.