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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-31 04:46 UTC

mosaicml / examples

Fast and flexible reference benchmarks

ShellApache-2.0★ 466 Sterne⑂ 133 Forksseit Juni 2022Auf GitHub ansehen ↗

mosaicml/examples erreicht einen Gesundheitsindex von 49 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Sustainability & Governance (76/100) ab, am schwächsten bei Security (21/100). Zuletzt vor 127 Tagen aktualisiert. 4 Mitwirkende tragen den Großteil der jüngsten Arbeit.

49
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.

49
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

1.098 Follower7 öffentliche Reposseit Nov. 2020

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?

30Gefährdet · 22 % des Gesamtindex
Wie die Bewertung erfolgt
9.9/36Push-Aktualität — letzter Push vor 127 Tagen
0.7/36Commit-Rhythmus — 1/52 Wochen mit Commits
2.7/18Commit-Volumen — 1 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year1
human_commit_share1
days_since_last_push127
active_weeks_last_year1
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 2 Releases veröffentlicht
0/36Release-Aktualität — letztes Release vor 1.207 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 55 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count2
latest_release_tagv0.0.4
releases_from_tagsnein
days_since_latest_release1.207
mean_days_between_releases55

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

59Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
43.3/60Stars — 466 Stars
17.7/25Forks — 133 Forks
5.8/15Watcher — 12 Watcher
Verwendete Eingangsdaten
forks133
stars466
watchers12
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

76Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
43.2/54Bus-Faktor — 4 Beitragende decken die Hälfte aller Commits ab
18.7/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 17 % der Commits
13.5/13.5Breite der Beitragenden — 36 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor4
contributors_sampled36
top_contributor_share0,167
Wie die Bewertung erfolgt
29.4/46.8Issue-Lösungsquote — 63 % der Issues geschlossen
32/38.3PR-Annahme — 337/403 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs337
open_issues16
closed_issues27
issue_closed_ratio0,628
closed_unmerged_prs66
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
21.9/25Reichweite des Inhabers — 1.098 Follower von mosaicml
17.9/25Kontohistorie — 7 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers1.098
owner_typeOrganization
is_verified
owner_loginmosaicml
public_repos7
account_age_days2.071

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

53Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
0/24CI-Workflows
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cinein
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

40Gefährdet
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
0/10Wiki
Verwendete Eingangsdaten
topics
has_wikinein
homepage
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

21Kritisch · 16 % des Gesamtindex
Wie die Bewertung erfolgt
0/30Sicherheitsrichtlinie (SECURITY.md)
0/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten
0/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfiles
manifestspyproject.toml
has_codeql_workflownein
has_security_policynein
has_dependabot_confignein
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
0/25Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories308
affected_packages10
assessed_packages28
unassessed_packages6
affected_by_severitycritical 3, high 3, moderate 1, unknown 3
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 28 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 6 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

41Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 93 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,93
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Shell ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/81 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageShell
largest_source_bytes47.605
source_files_sampled81
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

466GitHub-Sterne
36Mitwirkende
1Commits, letzte 12 Monate
127Tage seit letztem Push
2Releases
4Bus-Faktor
16offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Advisory severity resolved for 120 of 189 advisories (lookup cap); the remainder are reported as unknown severity
  • OpenSSF Scorecard did not return a usable result (2026/07/31 04:46:01 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 133 ⇿
0Sterne
133Forks
2Releases

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.

025507510012515012652022-102024-072026-05
Major 0Minor 0Patch 2

Jeder Punkt umfasst 4 Tage.

Alle Abhängigkeiten 34

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 34 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIboto31.26.134indirekt
PyPIbotocore1.29.154indirekt
PyPIcomposer0.14.1indirekt
PyPIcomposer0.15.0indirekt
PyPIcomposer0.15.1indirekt
PyPIdatasets2.14.6indirekt
PyPIdiffusers0.11.1indirekt
PyPIeinops0.5.0indirekt
PyPIfaiss-cpu1.7.4indirekt
PyPIgradio3.33.1indirekt
PyPIinstructorembedding1.0.0indirekt
PyPIlangchain0.0.205indirekt
PyPImmsegmentation0.22.0indirekt
PyPImosaicmlindirekt
PyPImosaicml-cli0.4.17indirekt
PyPImosaicml-cli0.4.4indirekt
PyPImosaicml-streaming0.4.1indirekt
PyPIoauthlibindirekt
PyPIomegaconfindirekt
PyPIomegaconf2.2.3indirekt
PyPIomegaconf2.3.0indirekt
PyPIpydantic1.10.10indirekt
PyPIscipy1.11.1indirekt
PyPIsentencepiece0.1.97indirekt
PyPIsentencepiece0.1.99indirekt
PyPItorchindirekt
PyPItorch1.13.1indirekt
PyPItorchvisionindirekt
PyPItransformers4.25.1indirekt
PyPItransformers4.28.1indirekt
PyPItransformers4.29.2indirekt
PyPItriton2.0.0.dev20221103indirekt
PyPIxformersindirekt
PyPIxformers0.0.20indirekt
Abhängigkeits-Advisories 10

Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 28 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 10 tragen bekannte Advisories, davon 0 direkte. 6 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.

PaketVersionBeziehungSchweregradAdvisoriesBehoben in
gradio3.33.1indirektkritisch786.16.0
langchain0.0.205indirektkritisch412.8.5
torch1.13.1indirektkritisch282.13.0
diffusers0.11.1indirekthoch50.38.0
sentencepiece0.1.97indirekthoch20.2.1
sentencepiece0.1.99indirekthoch20.2.1
pydantic1.10.10indirektmittel22.4.0
transformers4.25.1indirektunbekannt50
transformers4.28.1indirektunbekannt50
transformers4.29.2indirektunbekannt50

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
{
  "data": {
    "repo": {
      "topics": [],
      "is_fork": false,
      "size_kb": 62853,
      "has_wiki": false,
      "homepage": null,
      "languages": {
        "Shell": 2848
      },
      "pushed_at": "2026-03-25T20:11:02Z",
      "created_at": "2022-06-08T18:37:33Z",
      "owner_type": "Organization",
      "updated_at": "2026-06-30T16:41:52Z",
      "description": "Fast and flexible reference benchmarks",
      "is_archived": false,
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      "license_spdx": "Apache-2.0",
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    "owner": {
      "blog": "https://www.databricks.com/research/mosaic",
      "name": "Databricks Mosaic Research",
      "type": "Organization",
      "login": "mosaicml",
      "company": null,
      "location": "United States of America",
      "followers": 1098,
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          "oid": "c5b7b87c63c68003074741d43dcdb6f40968bc35",
          "body": "Co-authored-by: Isaac",
          "is_bot": false,
          "headline": "Remove GitHub Actions workflows (#459)",
          "author_name": "Abhay Gupta",
          "author_login": "gupta-abhay",
          "committed_at": "2026-03-25T20:10:59Z",
          "body_truncated": false,
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        },
        {
          "oid": "daddaeff7a535273ff984b0134da4839c70a45b3",
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          "is_bot": false,
          "headline": "Pin sd fine-tuning yamls to working commit (#448)",
          "author_name": "Austin",
          "author_login": "A-Jacobson",
          "committed_at": "2024-02-06T06:11:40Z",
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          "is_coding_agent": false
        },
        {
          "oid": "fa3d60e71f1a9b10dc8b0c6b3933d55849234def",
          "body": "* update mcloud yamls + requirements for sd and sd-dreambooth",
          "is_bot": false,
          "headline": "update mcloud yamls + requirements for sd and sd-dreambooth (#446)",
          "author_name": "Austin",
          "author_login": "A-Jacobson",
          "committed_at": "2024-02-06T02:05:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7003793b15ad0ee28bc09d0fceb91eb2d0104961",
          "body": "image and compute",
          "is_bot": false,
          "headline": "Bump images for llama2 and update compute (#436)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-09-19T02:39:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1813eafaf1a16fcecb2a49127acebd650660ef34",
          "body": "0.1.40",
          "is_bot": false,
          "headline": "Bump inference image 0.1.40 (#435)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-09-06T22:33:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f5f0e36af276697565f9f7b30c47c3b5d54a1d8b",
          "body": "This PR is just to pin the commit version of the examples repo",
          "is_bot": false,
          "headline": "pin examples repo (#434)",
          "author_name": "Vincent Chen",
          "author_login": "vinchenzo-db",
          "committed_at": "2023-09-01T00:13:39Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "686e73ccc146a9f7afba3e0ed6d5a72bab0d1eb3",
          "body": "Created a demo on how to use MosaicML products, Langchain, and FAISS to create a chatbot!\r\nThis PR covers how to get GitHub data, how to convert it into MDS format, how to use that data to fine-tune our model, and how to run retrieval on it to create a chatbot in a gradio app. It also offers different ways to improve the retrieval process to get even better results. Huge thanks to @dakinggg !",
          "is_bot": false,
          "headline": "Support bot (#378)",
          "author_name": "Vincent Chen",
          "author_login": "vinchenzo-db",
          "committed_at": "2023-08-31T23:21:10Z",
          "body_truncated": false,
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        },
        {
          "oid": "6c0ebe06d914a2be438f30c73fe9fa0ab73dacb9",
          "body": "* better examples\r\n\r\n* default open\r\n\r\n* llama2 lint",
          "is_bot": false,
          "headline": "Llama2 example + better no-code deployment docs (#433)",
          "author_name": "Margaret Qian",
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        },
        {
          "oid": "c233b5402ce77456c49e90ebb2e93359c19ff756",
          "body": "* use latest image\r\n\r\n* bump version",
          "is_bot": false,
          "headline": "Fix no code image version (#432)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-08-28T23:02:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "29e298c3adbbdf342da3121d02dd099429180b60",
          "body": "* wip\r\n\r\n* update\r\n\r\n* done",
          "is_bot": false,
          "headline": "no code examples (#429)",
          "author_name": "Roshan Regula",
          "author_login": "RR4787",
          "committed_at": "2023-08-17T22:44:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b7b86ad5e9070b965cca9047d1513bab2bc133f3",
          "body": "fix typo",
          "is_bot": false,
          "headline": "Fix typo in path (#430)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-08-11T21:28:16Z",
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          "is_coding_agent": false
        },
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          "oid": "a18e2c0db226b7118ed7ebbaecd8edb57dc59335",
          "body": "* typo\r\n\r\n* update bf16 --> amp_bf16 in bert yamls\r\n\r\n* update mcloud yamls to run on mosaicml/examples main branch with correct file structure\r\n\r\n* updated git repo branch in 40gb yaml",
          "is_bot": false,
          "headline": "Update BERT yamls for compatibility with main branch (#427)",
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          "committed_at": "2023-08-03T18:14:45Z",
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          "oid": "d86f1ba0010d80eb5ab5fbafda0b036a572fc4c1",
          "body": null,
          "is_bot": false,
          "headline": "fix streaming handler (#424)",
          "author_name": "Jeffrey Chen",
          "author_login": "Glabred",
          "committed_at": "2023-07-27T19:56:31Z",
          "body_truncated": false,
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        },
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          "oid": "845bfe23c77316264d5dd6e2a6b7c46cefa4519a",
          "body": "update",
          "is_bot": false,
          "headline": "Fix yaml (#423)",
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          "committed_at": "2023-07-26T18:50:25Z",
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        {
          "oid": "d4d7d4458dfad8b7d88eccd416856c5d78c36b01",
          "body": "…name (#422)\n\n* fixed git commit and handler name\r\n\r\n* use latest commit\r\n\r\n* updated image versions to 0.1.16\r\n\r\n* lint",
          "is_bot": false,
          "headline": "Updated inference mpt yaml with new git commit and corrected handler …",
          "author_name": "tianshuc",
          "author_login": "tianshuc",
          "committed_at": "2023-07-25T01:30:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "df65ce9448f2e4c7803f7082930f80c8dc4e8fe1",
          "body": "* add gcp commit to yaml\r\n\r\n* Update mpt_7b_instruct_ft.yaml\r\n\r\nlittle typo\r\n\r\n---------\r\n\r\nCo-authored-by: Margaret Qian <margaret.qian@MacBook-Pro.local>\r\nCo-authored-by: tianshuc <135737595+tianshuc@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add gcp commit to yaml (#421)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-07-21T00:40:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d1cd9293b3eb943d38e912a3b9f4abd8bad52b5b",
          "body": "Make FT handler download from GCP (#417)\r\n\r\n* Make FT handler download from GCP\r\n\r\n* lint\r\n\r\n* fix lint\r\n\r\n---------\r\n\r\nCo-authored-by: Ajay Saini <ajay@mosaicml.com>\r\nCo-authored-by: Jeffrey Chen <jeffrey@mosaicml.com>",
          "is_bot": false,
          "headline": "Add GCP downloader in example (#419)",
          "author_name": "tianshuc",
          "author_login": "tianshuc",
          "committed_at": "2023-07-20T22:19:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fb449f8106811f216aa1938df85cc2bdaf5df998",
          "body": "… for conversion script (#415)\n\nupdate commit",
          "is_bot": false,
          "headline": "Update llm-foundry commit for allowing trust_remote_code in tokenizer…",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-07-14T07:08:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a61497fde56ba9dac3212fd5c5310f79f1c36a55",
          "body": null,
          "is_bot": false,
          "headline": "Remove docker workflow (#412)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-07-07T00:30:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cf51b2e2e1e8d3c6cd527b72dc1fcdc3be7c7ffe",
          "body": "* update instructor yamls",
          "is_bot": false,
          "headline": "Update instructor yamls (#409)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-07-06T23:45:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "625e1ed9e4dff3eee6922d45cfa37f0ee9cebef1",
          "body": null,
          "is_bot": false,
          "headline": "Pin foundry and fix a minor yaml change with latest foundry (#410)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-07-06T16:52:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1b747d40cc1b080ba6c8849f055b02b5acbdaad2",
          "body": "* fix\r\n\r\n* bump image",
          "is_bot": false,
          "headline": "Specify gpu num in 30b yaml (#404)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-30T18:34:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "da0be56e9bc07840919fd5d235686e1207aa603e",
          "body": "fix",
          "is_bot": false,
          "headline": "Fix pydantic version (#405)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-30T18:12:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c5eaea5ccdc0809a64bf4ebb8ef8c23e0ad359f0",
          "body": "update commit",
          "is_bot": false,
          "headline": "Update commit for replit yaml (#403)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-30T06:20:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "63b6e009a36768fcc295c6676c7a775715f45e91",
          "body": "* tokenizer update\r\n\r\n* replit",
          "is_bot": false,
          "headline": "Allow clean_up_tokenization_spaces parameters for mpt handler (#402)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-30T06:06:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d62a7285b34b637d3b8a4321715bc91ed7827919",
          "body": null,
          "is_bot": false,
          "headline": "Use FT in end-to-end example (#395)",
          "author_name": "Daya Khudia",
          "author_login": "dskhudia",
          "committed_at": "2023-06-27T18:49:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "307ae2547ceed97223f1ca23a2379ec2cddbd434",
          "body": null,
          "is_bot": false,
          "headline": "Add secrets check as part of pre-commit (#398)",
          "author_name": "Karan Jariwala",
          "author_login": "karan6181",
          "committed_at": "2023-06-26T16:21:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2d9b0ede4363e48e2d487b7adf7dc0f93ed95e69",
          "body": "fix mpt 7b yamls",
          "is_bot": false,
          "headline": "Fix mpt 7b yamls (#397)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-22T21:44:23Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ba7946c404b36bbcc24c9efabb085bc9c6b2aeca",
          "body": "* Add 30b yaml",
          "is_bot": false,
          "headline": "Add new yaml (#394)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-22T21:35:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0402412ae7c81f779546d08a66bb2720e950d09a",
          "body": "* Update 06b_deploy_embedding_model.yaml\r\n\r\nNew image + compute params + update command",
          "is_bot": false,
          "headline": "Update 06b_deploy_embedding_model.yaml (#393)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-22T20:36:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "47e2abfa9f4f695b28effb3e16ab6494414d928c",
          "body": "* add mentions of 30b\n\n* more comments\n\n* update",
          "is_bot": false,
          "headline": "Update documentation (#392)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-06-22T15:48:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "27230fa1c883c17a2a45a3762239ff7f5b0ef8ce",
          "body": null,
          "is_bot": false,
          "headline": "Update MPT Handler (#390)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-22T04:24:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "828001480091b17407756a56eb6ea6ab092433ba",
          "body": "This reverts commit 1a0492376cb1fc0b83e6e5db1e6edbb06c60c175.",
          "is_bot": false,
          "headline": "Enable CodeQL for pull requests (#374)",
          "author_name": "bandish-shah",
          "author_login": "bandish-shah",
          "committed_at": "2023-06-21T23:32:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "efbcadf774b339ed0ffaa6e655d75d64c12e2564",
          "body": null,
          "is_bot": false,
          "headline": "update yamls (#380)",
          "author_name": "Jeffrey Chen",
          "author_login": "Glabred",
          "committed_at": "2023-06-21T06:31:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "434c3d370d3176afbdd2d380e6ef1d4d79b6917d",
          "body": null,
          "is_bot": false,
          "headline": "Add extra comment about how to turn on wandb (#376)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-06-20T23:44:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2515a73e8020d97e3d08eb6d02e4987185329294",
          "body": null,
          "is_bot": false,
          "headline": "End to end retrieval QA example (#352)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-06-20T21:36:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "dcc4c4dff002d282a2f432ccfcab4b61dc6a53af",
          "body": null,
          "is_bot": false,
          "headline": "Fix for multi-gpu inference (#363)",
          "author_name": "Daya Khudia",
          "author_login": "dskhudia",
          "committed_at": "2023-06-16T18:18:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "000eedf1656097807b1c019fee1c8bfdef47d982",
          "body": null,
          "is_bot": false,
          "headline": "Update compute in MPT YAMLs (#369)",
          "author_name": "Ajay Saini",
          "author_login": "ajaysaini725",
          "committed_at": "2023-06-16T01:32:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "59a8c02550fa96aadb8ab1f2c042107acff6e77f",
          "body": "one more ssh_clone",
          "is_bot": false,
          "headline": "Set ssh_clone false for llm-foundry  (#368)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T22:51:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1534a7d850bea0eb5e54d434ffeff59f70446373",
          "body": "update commit",
          "is_bot": false,
          "headline": "Update mpt-instruct-ft yaml (#367)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T22:15:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f518b29590230763b10e50e80180ff943b3ebb4e",
          "body": "Cleaning up a bit of typos and style.",
          "is_bot": false,
          "headline": "Update README.md (#366)",
          "author_name": "Hagay Lupesko",
          "author_login": "lupesko",
          "committed_at": "2023-06-15T21:37:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "51802bd428d85792ad5db679782bdc8d9ba01405",
          "body": "* forgot one\r\n\r\n* update 7b\r\n\r\n* storywriter\r\n\r\n* only handler change\r\n\r\n* update commit",
          "is_bot": false,
          "headline": "Update commit (#362)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T20:44:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0b348f765c8ba6b2896a6a0834446bfc4a333811",
          "body": "* forgot one\r\n\r\n* update 7b\r\n\r\n* storywriter\r\n\r\n* only handler change",
          "is_bot": false,
          "headline": "Fix mpt 7b handler (#361)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T20:33:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "75e068f90c613a2cced553c5dc449d98c5470454",
          "body": "Co-authored-by: Jeffrey Chen <jeffrey@mosaicml.com>",
          "is_bot": false,
          "headline": "Downloader for MPT faster transformers checkpoint conversion (#359)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T19:53:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cd16fe3eb6712e0c76211ef0e68ec5920d2947e6",
          "body": null,
          "is_bot": false,
          "headline": "Modify model handlers to take in new request structure (#349)",
          "author_name": "Jeffrey Chen",
          "author_login": "Glabred",
          "committed_at": "2023-06-14T19:36:48Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "feb5a703311eb502643170ef1b061102311b6582",
          "body": "Co-authored-by: Jeffrey Chen <jeffrey@mosaicml.com>",
          "is_bot": false,
          "headline": "Update image version (#357)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-14T19:29:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7fadb4d3fa89ece4345c1571959b4e9d59f97a76",
          "body": "* instructor readme\r\n\r\n* Update examples/inference-deployments/instructor/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n* Update examples/inference-deployments/instructor/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n* Update README.md\r\n\r\nAdd langchain instructions\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Examples/inf/instructor README (#356)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-13T21:30:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "06592a1c1960d10507fce6c9fc60dd1fb2ccb600",
          "body": "* The diffusion readme about how diffusion doesn't work\r\n\r\n* nit\r\n\r\n* Update examples/inference-deployments/mosaic_diffusion/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Examples/inf/diffusion README (#354)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-13T20:49:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8850cb40911c40331946012a7b8dec5642981377",
          "body": "* Examples/inference/mpt README\r\n\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Examples/inference/mpt README updates (#350)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-13T16:25:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5aeac41c11db7b967720447c66f11f6c6a1d2842",
          "body": "* mpt instruct ft yaml\r\n\r\n* pin versions",
          "is_bot": false,
          "headline": "Add mpt instruct faster transformers yaml (#353)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-13T01:03:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "aab5ef7315715509cff9e08e862d41b3cbac83ad",
          "body": "* update ft handler for go server and other tweaks",
          "is_bot": false,
          "headline": "Update MPT FT handler to work with go server (#346)",
          "author_name": "Asfandyar Qureshi",
          "author_login": "asfandyarq",
          "committed_at": "2023-06-09T17:19:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5efc527a2460373c13b125d7537dbd8d2e946245",
          "body": "pinning",
          "is_bot": false,
          "headline": "Pinning version for mpt yamls (#345)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-08T23:10:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "060a847ef07971fa010d61c5fcfeaae838c7505d",
          "body": "use git_commit",
          "is_bot": false,
          "headline": "Use git_commit in example yaml (#344)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-08T01:09:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "703f331e07bbe60c5c9db3ae5f876bb5dc3c19b2",
          "body": "Co-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "FasterTransformer model handler for the mpt series (#340)",
          "author_name": "Daya Khudia",
          "author_login": "dskhudia",
          "committed_at": "2023-06-08T00:44:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c92d827ebf76dd0a52bcec1ed63c0bab3730764e",
          "body": "* update models to work with batching and go server\r\n\r\n* wip\r\n\r\n* fix\r\n\r\n* fix mpt\r\n\r\n* revert\r\n\r\n* lint\r\n\r\n* lint\r\n\r\n* lint and pr comments\r\n\r\n* wip\r\n\r\n* done\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Update inference models to work with batching and go server (#341)",
          "author_name": "Roshan Regula",
          "author_login": "RR4787",
          "committed_at": "2023-06-08T00:22:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "55e1bfcbe6984f970e4b951a2d373e0e68962a31",
          "body": "update ssh_clone\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Update example yaml to work without git secrets (#342)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-07T18:07:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "44bc9baaf9e6d2514d19272e0b8852a6400792be",
          "body": "* fix deeplab args\r\n* pin streaming everywhere",
          "is_bot": false,
          "headline": "Fixing a couple CI issues and pin streaming everywhere (#343)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-06-07T16:03:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7768cc6939093e3a6b86ce8b2d2ba4c10d592500",
          "body": null,
          "is_bot": false,
          "headline": "Begin restructuring (#333)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-05-31T20:12:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "09912d4b93164f998ecbee759599a51fab413f75",
          "body": "* Refresh mosaicml platform yamls\r\n\r\n* lint\r\n\r\n* updates",
          "is_bot": false,
          "headline": "Refresh mosaicml platform yamls (#335)",
          "author_name": "Anna",
          "author_login": "aspfohl",
          "committed_at": "2023-05-24T22:18:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6d1a55d1f002844d5356fed5424b286af4931eaf",
          "body": "* Update hf-bert-base-uncased.yaml\r\n\r\nchange precision from bf16 to amp_bf16\r\n\r\n* Update mosaic-bert-base-uncased.yaml (#326)\r\n\r\nchange bf16 to amp_bf16\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Update hf-bert-base-uncased.yaml (#325)",
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            "notes": [],
            "value": 40,
            "inputs": {
              "topics": [],
              "has_wiki": false,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": false,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
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                "detail": null,
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                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
        "value": 21,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": null,
            "notes": [],
            "value": 1,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [],
              "manifests": [
                "pyproject.toml"
              ],
              "has_codeql_workflow": false,
              "has_security_policy": false,
              "has_dependabot_config": false
            },
            "components": [
              {
                "key": "security_policy_security_md",
                "name": "Security policy (SECURITY.md)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 28 resolved dependencies against OSV; 6 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories",
                    "no_advisories_left_outstanding"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 28
                }
              },
              {
                "code": "advisories_unassessed",
                "params": {
                  "count": 6
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 308,
              "affected_packages": 10,
              "assessed_packages": 28,
              "unassessed_packages": 6,
              "affected_by_severity": "critical 3, high 3, moderate 1, unknown 3",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "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": 28,
              "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": "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",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 4
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "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",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 41,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              "legible_history_share": 0.93,
              "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": {}
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                ],
                "max_points": 45
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              {
                "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": "93 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 93,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 37,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "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",
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                "points": 22,
                "status": "met",
                "details": [],
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              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Shell",
              "largest_source_bytes": 47605,
              "source_files_sampled": 81,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Shell without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
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                      "language": "Shell"
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                ],
                "max_points": 45
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              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/81 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
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                    "code": "oversized_source_files",
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                      "oversized": 0
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                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
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                "key": "api_schema_openapi_graphql_proto",
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                "detail": null,
                "points": 0,
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                "details": [],
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              },
              {
                "key": "mcp_server",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
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                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                  }
                ],
                "max_points": 40
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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",
    "Advisory severity resolved for 120 of 189 advisories (lookup cap); the remainder are reported as unknown severity",
    "OpenSSF Scorecard did not return a usable result (2026/07/31 04:46:01 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-31T04:46:27.483151Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mosaicml/examples.svg",
  "full_name": "mosaicml/examples",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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.

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