Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 18:18 UTC
shader-slang / slangpy-samples
shader-slang/slangpy-samples erreicht einen Gesundheitsindex von 53 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (63/100) ab, am schwächsten bei AI Readiness (36/100). Zuletzt vor 2 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
53
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.
53
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
The Slang Shading LanguageOrganisation
330 Follower35 öffentliche Reposseit Juni 2017
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?
63
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 2 Tagen |
| 11.1/36 | Commit-Rhythmus — 16/52 Wochen mit Commits |
| 14.3/18 | Commit-Volumen — 38 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 38 |
| human_commit_share | 0,99 |
| days_since_last_push | 2 |
| active_weeks_last_year | 16 |
Release-Disziplin
50Mittel
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 1 Versions-Tags (keine GitHub-Releases) |
| 16.2/36 | Release-Aktualität — letztes Release vor 227 Tagen |
| 12.6/27 | Release-Rhythmus — Rhythmus unbekannt (nur ein Release) |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 1 |
| latest_release_tag | v0.38.1 |
| releases_from_tags | ja |
| days_since_latest_release | 227 |
| mean_days_between_releases | — |
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?
41
Popularität & Verbreitung
30Gefährdet
Wie die Bewertung erfolgt
| 18.1/60 | Stars — 14 Stars |
| 8.7/25 | Forks — 12 Forks |
| 3.3/15 | Watcher — 5 Watcher |
Verwendete Eingangsdaten
| forks | 12 |
| stars | 14 |
| watchers | 5 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
54Mittel
Wie die Bewertung erfolgt
| 0/22.5 | README |
| 16.9/22.5 | Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | nein |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
58
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 13.5/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 40 % 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 | 2 |
| contributors_sampled | 17 |
| top_contributor_share | 0,398 |
Reaktionsfähigkeit bei Issues & PRs
49Gefährdet
Wie die Bewertung erfolgt
| 13.4/46.8 | Issue-Lösungsquote — 29 % der Issues geschlossen |
| 34/38.3 | PR-Annahme — 40/45 entschiedene PRs gemergt |
| 1.5/15 | OpenSSF Scorecard: Code-Review — Found 4/25 approved changesets -- score normalized to 1 |
Verwendete Eingangsdaten
| merged_prs | 40 |
| open_issues | 5 |
| closed_issues | 2 |
| issue_closed_ratio | 0,286 |
| closed_unmerged_prs | 5 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 18.1/25 | Reichweite des Inhabers — 330 Follower von shader-slang |
| 23.3/25 | Kontohistorie — 35 öffentliche Repos, Kontoalter ca. 9 Jahre |
Verwendete Eingangsdaten
| followers | 330 |
| owner_type | Organization |
| is_verified | — |
| owner_login | shader-slang |
| public_repos | 35 |
| account_age_days | 3.338 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
54
Engineering-Praktiken
90Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 16/20 | OpenSSF Scorecard: CI-Tests — 15 out of 17 merged PRs checked by a CI test -- score normalized to 8 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
1Kritisch
Wie die Bewertung erfolgt
| 0/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 0/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | nein |
| homepage | — |
| has_readme | nein |
| has_docs_dir | nein |
| has_description | nein |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
41
Sicherheitslage
41Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2/2.5 | CI-Tests — 15 out of 17 merged PRs checked by a CI test -- score normalized to 8 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0.8/7.5 | Code-Review — Found 4/25 approved changesets -- score normalized to 1 |
| 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 |
| 2.2/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 14 commit(s) and 0 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 — 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 | 4,1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
36
AI-Agentenkontext & Leitlinien
22Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 22.1/40 | Lesbare Commit-Historie — 41 von 99 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,414 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
AI-Verify-Loop (Build / Test / Typprüfung)
37Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 4/10 | Belegte Agentenpraxis — 2 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 | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | 0,02 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Jupyter Notebook ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/84 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Jupyter Notebook |
| largest_source_bytes | 20.875 |
| source_files_sampled | 84 |
| oversized_source_files | 0 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
14GitHub-Sterne
17Mitwirkende
38Commits, letzte 12 Monate
2Tage seit letztem Push
1Releases
2Bus-Faktor
5offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- No resolved dependencies carried a version and a supported ecosystem
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 12 ⇿
0Sterne
12Forks
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.
OpenSSF Scorecard 4.1 / 10
4.1Gesamtwert
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 |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 8 | CI-Tests | 15 out of 17 merged PRs checked by a CI test -- score normalized to 8 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 1 | Code-Review | Found 4/25 approved changesets -- score normalized to 1 |
| 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 |
| 9 | License | license file detected |
| 10 | Maintained | 14 commit(s) and 0 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 |
| 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 8
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 8 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | imageio | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | pillow | — | indirekt |
| PyPI | scipy | — | indirekt |
| PyPI | slangpy | — | indirekt |
| PyPI | tqdm | — | indirekt |
| PyPI | trimesh | — | indirekt |
Abhängigkeits-Advisories nicht bewertet
Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem
JSON-Rohbericht maschinenlesbar
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"body": "Regenerate the README figure from the ported demo trained to convergence\n(20000 iterations, wave variant, final mean loss ~9e-5): the reconstruction\nis now nearly indistinguishable from the reference and the loss panel shows\nonly faint residual edges. The image is composed offscreen with the same\nlayout as the windowed demo (reference | network output | per-pixel loss).\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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"headline": "Update neural.slang demo to the current neural module API (#51)",
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"headline": "Proxy aware url test",
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"headline": "Fix samples",
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"headline": "Add LinearLayer.set_weights() and .set_biases() (#15)",
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"body": "CONTRIBUTING.md was added in #44 without a trailing newline. CI runs the\nend-of-file-fixer pre-commit hook with --all-files, so the missing\nnewline fails pre-commit on every open PR. Add the newline to green\npre-commit repo-wide.\n\nCo-authored-by: nv-slang-bot[bot] <274397474+nv-slang-bot[bot]@users.noreply.github.com>",
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"headline": "Add trailing newline to CONTRIBUTING.md (#47)",
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"headline": "chore: Add AI-Assisted Contributions in CONTRIBUTING.md (#44)",
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},
{
"key": "code_review",
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"points": 0.8,
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},
{
"key": "contributors",
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"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"details": [],
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},
{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
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"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"points": 7.5,
"status": "met",
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"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"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",
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],
"value": 100,
"inputs": {
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"red_flag": false,
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"Iran",
"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 6
},
"components": [
{
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"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
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"name": "AI Readiness",
"value": 36,
"weight": 0,
"metrics": [
{
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"band": "critical",
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"note": null,
"notes": [],
"value": 22,
"inputs": {
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"legible_history_share": 0.414,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
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"points": 0,
"status": "missed",
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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",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
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"points": 22.1,
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{
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{
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"points": 0,
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"details": [],
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},
{
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"points": 22,
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"max_points": 22
},
{
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"points": 11,
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},
{
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},
{
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"points": 0,
"status": "missed",
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},
{
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"points": 4,
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{
"code": "agent_authored_commits",
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}
],
"max_points": 10
},
{
"key": "automated_maintenance",
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"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
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"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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]
},
{
"key": "ai_code_legibility",
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"name": "Code legibility for models",
"note": null,
"notes": [],
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"inputs": {
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"largest_source_bytes": 20875,
"source_files_sampled": 84,
"oversized_source_files": 0
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"points": 0,
"status": "missed",
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"language": "Jupyter Notebook"
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],
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},
{
"key": "manageable_file_sizes",
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"points": 55,
"status": "met",
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{
"code": "oversized_source_files",
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"oversized": 0
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],
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]
},
{
"key": "ai_interfaces",
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"note": null,
"notes": [],
"value": 40,
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"api_schema_files": []
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{
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"detail": null,
"points": 0,
"status": "missed",
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},
{
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"detail": null,
"points": 0,
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"details": [],
"max_points": 20
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{
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"points": 40,
"status": "met",
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{
"code": "file_list",
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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."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"No resolved dependencies carried a version and a supported ecosystem"
],
"report_type": "repository",
"generated_at": "2026-07-26T18:18:18.488764Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/shader-slang/slangpy-samples.svg",
"full_name": "shader-slang/slangpy-samples",
"license_state": "custom",
"license_spdx": null
}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.