Öffentliches Register
Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-15 11:32 UTC

electrostatics / go2pdb

Extract PDB entries annotated with specific GO codes

Python · Jupyter NotebookEigene Lizenz★ 2 Sterne⑂ 3 Forksseit März 2021Auf GitHub ansehen ↗

electrostatics/go2pdb erreicht einen Gesundheitsindex von 35 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Sustainability & Governance (50/100) ab, am schwächsten bei AI Readiness (15/100). Zuletzt vor 1454 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

35
gesamt / 100
Gefährdet

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.

35
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

43 Follower36 öffentliche Reposseit März 2014

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIgo2pdb1.0.19982vor 1935 Tagensciencechemistrybiophysicsbiochemistry

Metriken nach Kategorie

Vitalität

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

25Kritisch · 22 % des Gesamtindex
Wie die Bewertung erfolgt
0/36Push-Aktualität — letzter Push vor 1.454 Tagen
0/36Commit-Rhythmus — 0/52 Wochen mit Commits
0/18Commit-Volumen — 0 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year0
human_commit_share
days_since_last_push1.454
active_weeks_last_year0
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 3 Releases veröffentlicht
0/36Release-Aktualität — letztes Release vor 1.935 Tagen
27/27Release-Rhythmus — ein Release etwa alle 10,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count3
latest_release_tagv1.0.1
releases_from_tagsnein
days_since_latest_release1.935
mean_days_between_releases10,1
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?

42Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
0/60Stars — 2 Stars
2.5/25Forks — 3 Forks
1.7/15Watcher — 3 Watcher
Verwendete Eingangsdaten
forks3
stars2
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein
Wie die Bewertung erfolgt
40/80Downloads pro Monat — 998 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagesgo2pdb
dependents
ecosystemspypi
total_downloads
monthly_downloads998
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.

Nachhaltigkeit & Governance

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

50Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits
1.4/13.5Breite der Beitragenden — 1 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Verwendete Eingangsdaten
bus_factor1
contributors_sampled1
top_contributor_share1
Wie die Bewertung erfolgt
23.4/46.8Issue-Lösungsquote — 50 % der Issues geschlossen
38.2/38.3PR-Annahme — 1/1 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 1/23 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs1
open_issues1
closed_issues1
issue_closed_ratio0,5
closed_unmerged_prs0
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
11.8/25Reichweite des Inhabers — 43 Follower von Electrostatics
23.4/25Kontohistorie — 36 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers43
owner_typeOrganization
is_verified
owner_loginElectrostatics
public_repos36
account_age_days4.507

Paketpflege

61Mittel
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
4/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 1.935 Tagen
12/20Versionshistorie — 2 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesgo2pdb
ecosystemspypi
any_deprecatednein
min_days_since_publish1.935

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

25Kritisch · 20 % des Gesamtindex
Wie die Bewertung erfolgt
0/24CI-Workflows
0/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
Verwendete Eingangsdaten
has_cinein
has_testsnein
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
10/10Topics — 2 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsbioinformatics, structural-bioinformatics
has_wikija
homepage
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

28Kritisch · 16 % des Gesamtindex

Sicherheitslage

28Kritisch
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
0/2.5CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/23 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
0/10Dangerous-Workflow — keine Daten
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5Lizenz — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — keine Daten
0/5Pinned-Dependencies — keine Daten
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 — keine Daten
0/7.5Token-Permissions — keine Daten
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate2,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. 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.

15Kritisch · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
0/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsnein
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung, OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/10 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes13.822
source_files_sampled10
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — notebooks
Verwendete Eingangsdaten
example_dirsnotebooks
has_mcp_signalnein
api_schema_files

Eckdaten

2GitHub-Sterne
1Mitwirkende
0Commits, letzte 12 Monate
1.454Tage seit letztem Push
3Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 2.8 / 10
2.8Gesamtwert

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 · 2026-07-15 11:32 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/23 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
k. A.Dangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
k. A.Packagingpackaging workflow not detected
k. A.Pinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
k. A.Token-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten 7

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 7 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIbiopythonindirekt
PyPImmcif-pdbxindirekt
PyPInumpyindirekt
PyPIopenpyxlindirekt
PyPIpandasindirekt
PyPIpytestindirekt
PyPIrequestsindirekt
JSON-Rohbericht maschinenlesbar
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          },
          {
            "name": "Dangerous-Workflow",
            "score": null,
            "reason": "no workflows found",
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          },
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            "name": "Dependency-Update-Tool",
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          },
          {
            "name": "Fuzzing",
            "score": 0,
            "reason": "project is not fuzzed",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
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          {
            "name": "License",
            "score": 9,
            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
          },
          {
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            "score": 0,
            "reason": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
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          {
            "name": "Packaging",
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                  {
                    "code": "topics_count",
                    "params": {
                      "count": 2
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                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
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                "details": [],
                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "weight": 0.16,
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            "notes": [
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                    "token_permissions"
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
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            "inputs": {
              "source": "openssf_scorecard",
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              "checks_inconclusive": 5,
              "scorecard_aggregate": 2.8
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            "components": [
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                "key": "binary_artifacts",
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                "points": 7.5,
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              {
                "key": "branch_protection",
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              {
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                "status": "missed",
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              {
                "key": "dangerous_workflow",
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                    "params": {}
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                "max_points": 10
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                "key": "dependency_update_tool",
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                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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                "status": "missed",
                "details": [],
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              {
                "key": "packaging",
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                "status": "excluded",
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                "key": "pinned_dependencies",
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                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
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                "max_points": 5
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                "key": "sast",
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                    "params": {}
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                "params": {
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                    "code": "no_data",
                    "params": {}
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                "max_points": 40
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            ]
          },
          {
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            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                "params": {}
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              "lockfiles": [],
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              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
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              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
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                "points": 0,
                "status": "missed",
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                "points": 0,
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                "key": "reproducible_environment",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
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                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "no dependencies found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
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            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
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              "largest_source_bytes": 13822,
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              "oversized_source_files": 0
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                "key": "type_checkable_code",
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                "points": 0,
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              {
                "key": "manageable_file_sizes",
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                "points": 55,
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                    "code": "oversized_source_files",
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                      "sampled": 10,
                      "oversized": 0
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                "max_points": 55
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            "key": "ai_interfaces",
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            "note": null,
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            "value": 40,
            "inputs": {
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                "points": 0,
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      }
    ],
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  },
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  "report_type": "repository",
  "generated_at": "2026-07-15T11:32:58.034736Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/e/electrostatics/go2pdb.svg",
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}

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