Öffentliches RegisterKritisch
Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 03:05 UTC
usnistgov / atomgpt
https://atomgpt.org
usnistgov/atomgpt erreicht einen Gesundheitsindex von 29 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Engineering Quality (42/100) ab, am schwächsten bei Community & Adoption (14/100). Zuletzt vor 329 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
29
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.
29
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
National Institute of Standards and TechnologyOrganisation
1.876 Follower1.418 öffentliche Reposseit Aug. 2013
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 |
|---|---|---|---|---|---|
| PyPI | atomgpt | 2024.11.30 | - | 4 | vor 481 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
24
Entwicklungsaktivität
13Kritisch
Wie die Bewertung erfolgt
| 3.6/36 | Push-Aktualität — letzter Push vor 329 Tagen |
| 2.1/36 | Commit-Rhythmus — 3/52 Wochen mit Commits |
| 7.6/18 | Commit-Volumen — 6 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Verwendete Eingangsdaten
| commits_last_year | 6 |
| human_commit_share | — |
| days_since_last_push | 329 |
| active_weeks_last_year | 3 |
Release-Disziplin
40Gefährdet
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 2 Versions-Tags (keine GitHub-Releases) |
| 7.2/36 | Release-Aktualität — letztes Release vor 481 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 225,1 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 2 |
| latest_release_tag | v2024.11.30 |
| releases_from_tags | ja |
| days_since_latest_release | 481 |
| mean_days_between_releases | 225,1 |
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?
14
Popularität & Verbreitung
10Kritisch
Wie die Bewertung erfolgt
| 9.8/60 | Stars — 5 Stars |
| 0/25 | Forks — 1 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 1 |
| stars | 5 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
19Kritisch
Wie die Bewertung erfolgt
| 0/22.5 | README |
| 16.9/22.5 | Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | nein |
| has_license | nein |
| 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?
38
Maintainer-Resilienz (Bus-Faktor)
15Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0.1/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits |
| 2.7/13.5 | Breite der Beitragenden — 2 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0,995 |
Reaktionsfähigkeit bei Issues & PRs
1Kritisch
Wie die Bewertung erfolgt
| 0/46.8 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 0/38.3 | PR-Annahme — keine entschiedenen Pull Requests oder keine Daten |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, PR-Annahme. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 23.5/25 | Reichweite des Inhabers — 1.876 Follower von usnistgov |
| 25/25 | Kontohistorie — 1.418 öffentliche Repos, Kontoalter ca. 12 Jahre |
Verwendete Eingangsdaten
| followers | 1.876 |
| owner_type | Organization |
| is_verified | — |
| owner_login | usnistgov |
| public_repos | 1.418 |
| account_age_days | 4.705 |
Paketpflege
71Gut
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 14/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 481 Tagen |
| 12/20 | Versionshistorie — 4 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | atomgpt |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 481 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
42
Engineering-Praktiken
60Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
15Kritisch
Wie die Bewertung erfolgt
| 0/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://scholar.google.com/citations?user=YVP36YgAAAAJ |
| 0/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | nein |
| homepage | https://scholar.google.com/citations?user=YVP36YgAAAAJ |
| has_readme | nein |
| has_docs_dir | nein |
| has_description | nein |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
23
Sicherheitslage
23Kritisch
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 |
| 0/2.5 | CI-Tests — keine Daten |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 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 |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 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 |
| 0/7.5 | Vulnerabilities — 104 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 2,3 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, 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.
25
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 |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 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 | — |
| has_dockerfile | nein |
| typed_language | nein |
| 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
52Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 52/55 | Handhabbare Dateigrößen — 5/93 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 124.093 |
| source_files_sampled | 93 |
| oversized_source_files | 5 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
5GitHub-Sterne
2Mitwirkende
6Commits, letzte 12 Monate
329Tage seit letztem Push
2Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Community profile unavailable
Weitere Details
OpenSSF Scorecard 2.3 / 10
2.3Gesamtwert
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 |
| k. A. | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 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 |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 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 |
| 0 | Vulnerabilities | 104 existing vulnerabilities detected |
Alle Abhängigkeiten 115
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 115 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | accelerate | 1.7.0 | indirekt |
| PyPI | aiohappyeyeballs | 2.6.1 | indirekt |
| PyPI | aiohttp | 3.11.18 | indirekt |
| PyPI | aiosignal | 1.3.2 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | ase | 3.25.0 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 25.3.0 | indirekt |
| PyPI | bitsandbytes | 0.45.5 | indirekt |
| PyPI | black | 25.1.0 | indirekt |
| PyPI | certifi | 2025.4.26 | indirekt |
| PyPI | charset-normalizer | 3.4.2 | indirekt |
| PyPI | click | 8.2.1 | indirekt |
| PyPI | contourpy | 1.3.2 | indirekt |
| PyPI | cut-cross-entropy | 25.1.1 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | datasets | 3.6.0 | indirekt |
| PyPI | diffusers | 0.33.1 | indirekt |
| PyPI | dill | 0.3.8 | indirekt |
| PyPI | docstring-parser | 0.16 | indirekt |
| PyPI | filelock | 3.18.0 | indirekt |
| PyPI | fonttools | 4.58.0 | indirekt |
| PyPI | frozenlist | 1.6.0 | indirekt |
| PyPI | fsspec | 2025.3.0 | indirekt |
| PyPI | gguf | 0.16.3 | indirekt |
| PyPI | hf-transfer | 0.1.9 | indirekt |
| PyPI | hf-xet | 1.1.2 | indirekt |
| PyPI | huggingface-hub | 0.32.0 | indirekt |
| PyPI | idna | 3.10 | indirekt |
| PyPI | imageio | 2.37.0 | indirekt |
| PyPI | importlib-metadata | 8.7.0 | indirekt |
| PyPI | jarvis-tools | 2024.10.30 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | joblib | 1.5.1 | indirekt |
| PyPI | kiwisolver | 1.4.8 | indirekt |
| PyPI | lazy-loader | 0.4 | indirekt |
| PyPI | markdown-it-py | 3.0.0 | indirekt |
| PyPI | markupsafe | 3.0.2 | indirekt |
| PyPI | matplotlib | 3.10.3 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mpmath | 1.3.0 | indirekt |
| PyPI | msgspec | 0.19.0 | indirekt |
| PyPI | multidict | 6.4.4 | indirekt |
| PyPI | multiprocess | 0.70.16 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | networkx | 3.4.2 | indirekt |
| PyPI | numpy | 2.2.6 | indirekt |
| PyPI | nvidia-cublas-cu12 | 12.6.4.1 | indirekt |
| PyPI | nvidia-cuda-cupti-cu12 | 12.6.80 | indirekt |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.6.77 | indirekt |
| PyPI | nvidia-cuda-runtime-cu12 | 12.6.77 | indirekt |
| PyPI | nvidia-cudnn-cu12 | 9.5.1.17 | indirekt |
| PyPI | nvidia-cufft-cu12 | 11.3.0.4 | indirekt |
| PyPI | nvidia-cufile-cu12 | 1.11.1.6 | indirekt |
| PyPI | nvidia-curand-cu12 | 10.3.7.77 | indirekt |
| PyPI | nvidia-cusolver-cu12 | 11.7.1.2 | indirekt |
| PyPI | nvidia-cusparse-cu12 | 12.5.4.2 | indirekt |
| PyPI | nvidia-cusparselt-cu12 | 0.6.3 | indirekt |
| PyPI | nvidia-nccl-cu12 | 2.26.2 | indirekt |
| PyPI | nvidia-nvjitlink-cu12 | 12.6.85 | indirekt |
| PyPI | nvidia-nvtx-cu12 | 12.6.77 | indirekt |
| PyPI | packaging | 25.0 | indirekt |
| PyPI | pandas | 2.2.3 | indirekt |
| PyPI | pathspec | 0.12.1 | indirekt |
| PyPI | peft | 0.15.2 | indirekt |
| PyPI | pillow | 11.2.1 | indirekt |
| PyPI | platformdirs | 4.3.8 | indirekt |
| PyPI | propcache | 0.3.1 | indirekt |
| PyPI | protobuf | 3.20.3 | indirekt |
| PyPI | psutil | 7.0.0 | indirekt |
| PyPI | pyarrow | 20.0.0 | indirekt |
| PyPI | pydantic | 2.11.5 | indirekt |
| PyPI | pydantic-core | 2.33.2 | indirekt |
| PyPI | pydantic-settings | 2.9.1 | indirekt |
| PyPI | pygments | 2.19.1 | indirekt |
| PyPI | pyparsing | 3.2.3 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-dotenv | 1.1.0 | indirekt |
| PyPI | pytz | 2025.2 | indirekt |
| PyPI | pyyaml | 6.0.2 | indirekt |
| PyPI | regex | 2024.11.6 | indirekt |
| PyPI | requests | 2.32.3 | indirekt |
| PyPI | rich | 14.0.0 | indirekt |
| PyPI | safetensors | 0.5.3 | indirekt |
| PyPI | scikit-image | 0.25.2 | indirekt |
| PyPI | scikit-learn | 1.6.1 | indirekt |
| PyPI | scipy | 1.15.3 | indirekt |
| PyPI | sentencepiece | 0.2.0 | indirekt |
| PyPI | shtab | 1.7.2 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | spglib | 2.6.0 | indirekt |
| PyPI | sympy | 1.14.0 | indirekt |
| PyPI | threadpoolctl | 3.6.0 | indirekt |
| PyPI | tifffile | 2025.5.10 | indirekt |
| PyPI | tokenizers | 0.21.1 | indirekt |
| PyPI | tomli | 2.2.1 | indirekt |
| PyPI | toolz | 1.0.0 | indirekt |
| PyPI | torch | 2.7.0 | indirekt |
| PyPI | torchvision | 0.22.0 | indirekt |
| PyPI | tqdm | 4.67.1 | indirekt |
| PyPI | transformers | 4.51.3 | indirekt |
| PyPI | triton | 3.3.0 | indirekt |
| PyPI | trl | 0.15.2 | indirekt |
| PyPI | typeguard | 4.4.2 | indirekt |
| PyPI | typing-extensions | 4.13.2 | indirekt |
| PyPI | typing-inspection | 0.4.1 | indirekt |
| PyPI | tyro | 0.9.21 | indirekt |
| PyPI | tzdata | 2025.2 | indirekt |
| PyPI | urllib3 | 2.4.0 | indirekt |
| PyPI | uv | 0.7.8 | indirekt |
| PyPI | xformers | 0.0.30 | indirekt |
| PyPI | xmltodict | 0.14.2 | indirekt |
| PyPI | xxhash | 3.5.0 | indirekt |
| PyPI | yarl | 1.20.0 | indirekt |
| PyPI | zipp | 3.21.0 | indirekt |
JSON-Rohbericht maschinenlesbar
{
"data": {
"repo": {
"topics": [],
"is_fork": true,
"size_kb": 68764,
"has_wiki": false,
"homepage": "https://scholar.google.com/citations?user=YVP36YgAAAAJ",
"languages": {
"Python": 1404428
},
"pushed_at": "2025-08-21T04:50:18Z",
"created_at": "2025-09-06T00:01:26Z",
"owner_type": "Organization",
"updated_at": "2026-06-10T06:56:00Z",
"description": "https://atomgpt.org",
"is_archived": false,
"is_disabled": false,
"license_spdx": null,
"default_branch": "main",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://www.nist.gov",
"name": "National Institute of Standards and Technology",
"type": "Organization",
"login": "usnistgov",
"company": null,
"location": "Gaithersburg, Md. ",
"followers": 1876,
"avatar_url": "https://avatars.githubusercontent.com/u/5330158?v=4",
"created_at": "2013-08-28T13:26:03Z",
"is_verified": null,
"public_repos": 1418,
"account_age_days": 4705
},
"activity": {
"releases_count": 2,
"commits_last_year": 6,
"latest_release_at": "2025-03-22T17:58:43Z",
"latest_release_tag": "v2024.11.30",
"releases_from_tags": true,
"days_since_last_push": 329,
"active_weeks_last_year": 3,
"days_since_latest_release": 481,
"mean_days_between_releases": 225.1
},
"community": {
"has_readme": false,
"has_license": false,
"has_description": false,
"has_contributing": false,
"health_percentage": null,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": [
{
"name": "atomgpt",
"exists": true,
"license": null,
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"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"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",
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}
],
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"Iran",
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],
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}
],
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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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"key": "ai_agent_context",
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{
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],
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},
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{
"code": "no_agent_instructions",
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{
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},
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],
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}
]
},
{
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"params": {
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}
},
{
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"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
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"status": "missed",
"details": [],
"max_points": 18
},
{
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"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "reproducible_environment",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
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"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",
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"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 52,
"inputs": {
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"source_files_sampled": 93,
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},
"components": [
{
"key": "type_checkable_code",
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"status": "missed",
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"params": {
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}
}
],
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},
{
"key": "manageable_file_sizes",
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"points": 52,
"status": "partial",
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{
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}
}
],
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}
]
},
{
"key": "ai_interfaces",
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"note": null,
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"inputs": {
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"has_mcp_signal": false,
"api_schema_files": []
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"components": [
{
"key": "api_schema_openapi_graphql_proto",
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"points": 0,
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"details": [],
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},
{
"key": "mcp_server",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "runnable_examples",
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"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"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": [
"Community profile unavailable"
],
"report_type": "repository",
"generated_at": "2026-07-17T03:05:53.455811Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/u/usnistgov/atomgpt.svg",
"full_name": "usnistgov/atomgpt",
"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 v0.11.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.