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Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 18:15 UTC

mujocolab / mjlab

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

PythonApache-2.0★ 2.709 Sterne⑂ 459 Forksseit Juni 2025Auf GitHub ansehen ↗

mujocolab/mjlab erreicht einen Gesundheitsindex von 78 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei Security (48/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

78
gesamt / 100
Gut

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.

78
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

mujocolabOrganisation
227 Follower5 öffentliche Reposseit Aug. 2025

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPImjlab1.5.3-18vor 0 Tagenmujocomujoco-warpsimulationreinforcement-learningrobotics

Metriken nach Kategorie

Vitalität

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

96Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
29.1/36Commit-Rhythmus — 42/52 Wochen mit Commits
18/18Commit-Volumen — 1.071 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year1.071
human_commit_share1
days_since_last_push0
active_weeks_last_year42

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 11 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 19,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count11
latest_release_tagv1.5.3
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases19,4
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?

79Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
55.7/60Stars — 2.709 Stars
22.2/25Forks — 459 Forks
7.8/15Watcher — 26 Watcher
Verwendete Eingangsdaten
forks459
stars2.709
watchers26
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)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
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?

65Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
4/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 82 % der Commits
13.5/13.5Breite der Beitragenden — 52 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled52
top_contributor_share0,824
Wie die Bewertung erfolgt
44.1/46.8Issue-Lösungsquote — 94 % der Issues geschlossen
32.4/38.3PR-Annahme — 604/714 entschiedene PRs gemergt
6/15OpenSSF Scorecard: Code-Review — Found 12/30 approved changesets -- score normalized to 4
Verwendete Eingangsdaten
merged_prs604
open_issues17
closed_issues287
issue_closed_ratio0,944
closed_unmerged_prs110
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
17/25Reichweite des Inhabers — 227 Follower von mujocolab
7.4/25Kontohistorie — 5 öffentliche Repos, Kontoalter ca. 0 Jahre
Verwendete Eingangsdaten
followers227
owner_typeOrganization
is_verified
owner_loginmujocolab
public_repos5
account_age_days325

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 18 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesmjlab
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

96Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 7 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://mujocolab.github.io/mjlab/
10/10Repository-Beschreibung
10/10Topics — 5 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsisaaclab, mujoco, mujoco-warp, reinforcement-learning, robotics-simulation
has_wikija
homepagehttps://mujocolab.github.io/mjlab/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

48Gefährdet · 16 % des Gesamtindex

Sicherheitslage

49Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 12/30 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 12 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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 — detected GitHub workflow tokens with excessive permissions
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,9
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
7.7/35Direkte Abhängigkeiten ohne bekannte Advisories — 3 betroffen: torch 2.9.0 (high 8.8), torch 2.9.0+cu128 (high 8.8), torch 2.10.0+cpu (moderate 5.3)
0/25Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar
25.4/40Keine offenen Advisories — 3 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 478 Tagen veröffentlicht
Verwendete Eingangsdaten
sourceosv
advisories12
affected_packages4
assessed_packages215
unassessed_packages0
affected_by_severityhigh 3, moderate 1
direct_affected_packages3
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories. Die verbleibenden Gewichte wurden renormalisiert. 215 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 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.

77Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md, CLAUDE.md
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_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes2.084
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — src/mjlab/py.typed
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
10/10Belegte Agentenpraxis — 7 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfileja
typed_languagenein
bootstrap_filesMakefile
has_devcontainernein
has_linter_configja
typecheck_configssrc/mjlab/py.typed
agent_commit_share0,07
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/mjlab/py.typed)
54.6/55Handhabbare Dateigrößen — 2/284 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes72.997
source_files_sampled284
oversized_source_files2
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — demos, notebooks
Verwendete Eingangsdaten
example_dirsdemos, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

2.709GitHub-Sterne
52Mitwirkende
1.071Commits, letzte 12 Monate
0Tage seit letztem Push
11Releases
1Bus-Faktor
17offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:mjlab@1.5.3; advisories assessed against the repository dependency graph instead

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 459 ⇿
0Sterne
459Forks
10Releases

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.

0100200300400500427132025-092026-022026-07
Major 1Minor 6Patch 3
OpenSSF Scorecard 4.9 / 10
4.9Gesamtwert

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 · 2026-07-22 18:15 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 12/30 approved changesets -- score normalized to 4
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
4Vulnerabilities6 existing vulnerabilities detected
Direkte Abhängigkeiten 20
RegistryPaketVersionsvorgabeManifest
PyPIprettytablepyproject.toml
PyPItqdmpyproject.toml
PyPItyro>=1.0.1pyproject.toml
PyPItorch>=2.7.0pyproject.toml
PyPItorchrunx>=0.3.4pyproject.toml
PyPIwarp-lang>=1.14.0pyproject.toml
PyPImujoco-warp>=3.10.0.3,~=3.10.0pyproject.toml
PyPImujoco~=3.10.0pyproject.toml
PyPItrimesh>=4.8.3pyproject.toml
PyPIscipy>=1.15pyproject.toml
PyPIviser>=1.0.27pyproject.toml
PyPImjviser>=0.0.14pyproject.toml
PyPImediapy>=1.2.6pyproject.toml
PyPInumpy<2.5pyproject.toml
PyPIimageio-ffmpegpyproject.toml
PyPItensordictpyproject.toml
PyPIrsl-rl-lib==5.4.0pyproject.toml
PyPItensorboard>=2.20.0pyproject.toml
PyPIonnxscript>=0.5.4pyproject.toml
PyPIwandb>=0.22.3pyproject.toml
Alle Abhängigkeiten 215

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 24 direkte und 191 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIimageio-ffmpeg0.6.0direkt
PyPImediapy1.2.6direkt
PyPImjviser0.0.14direkt
PyPImujoco3.10.0direkt
PyPImujoco-warp3.10.0.3direkt
PyPInumpy2.2.6direkt
PyPInumpy2.3.4direkt
PyPIonnxscript0.5.4direkt
PyPIprettytable3.16.0direkt
PyPIrsl-rl-lib5.4.0direkt
PyPIscipy1.15.3direkt
PyPIscipy1.16.2direkt
PyPItensorboard2.20.0direkt
PyPItensordict0.10.0direkt
PyPItorch2.10.0+cpudirekt
PyPItorch2.9.0direkt
PyPItorch2.9.0+cu128direkt
PyPItorchrunx0.3.4direkt
PyPItqdm4.67.1direkt
PyPItrimesh4.8.3direkt
PyPItyro1.0.1direkt
PyPIviser1.0.27direkt
PyPIwandb0.22.3direkt
PyPIwarp-lang1.14.0direkt
PyPIabsl-py2.3.1indirekt
PyPIaccessible-pygments0.0.5indirekt
PyPIalabaster1.0.0indirekt
PyPIannotated-types0.7.0indirekt
PyPIanyio4.11.0indirekt
PyPIasttokens3.0.0indirekt
PyPIattrs25.4.0indirekt
PyPIautodocsumm0.2.14indirekt
PyPIbabel2.17.0indirekt
PyPIbcrypt5.0.0indirekt
PyPIbeautifulsoup44.14.3indirekt
PyPIcertifi2025.10.5indirekt
PyPIcffi2.0.0indirekt
PyPIcfgv3.4.0indirekt
PyPIcharset-normalizer3.4.4indirekt
PyPIclick8.3.0indirekt
PyPIcloudpickle3.1.1indirekt
PyPIcolorama0.4.6indirekt
PyPIcolorlog6.10.1indirekt
PyPIcontourpy1.3.2indirekt
PyPIcontourpy1.3.3indirekt
PyPIcryptography49.0.0indirekt
PyPIcycler0.12.1indirekt
PyPIdecorator5.2.1indirekt
PyPIdeprecated1.3.1indirekt
PyPIdistlib0.4.0indirekt
PyPIdocstring-parser0.17.0indirekt
PyPIdocutils0.21.2indirekt
PyPIembreex2.17.7.post6indirekt
PyPIetils1.13.0indirekt
PyPIexceptiongroup1.3.0indirekt
PyPIexecuting2.2.1indirekt
PyPIfabric3.2.2indirekt
PyPIfilelock3.25.2indirekt
PyPIflatbuffers25.12.19indirekt
PyPIfonttools4.61.1indirekt
PyPIfsspec2025.9.0indirekt
PyPIgitdb4.0.12indirekt
PyPIgitpython3.1.54indirekt
PyPIglfw2.10.0indirekt
PyPIgrpcio1.76.0indirekt
PyPIh110.16.0indirekt
PyPIhttpcore1.0.9indirekt
PyPIhttpx0.28.1indirekt
PyPIidentify2.6.15indirekt
PyPIidna3.18indirekt
PyPIimageio2.37.0indirekt
PyPIimagesize1.4.1indirekt
PyPIimportlib-metadata8.7.0indirekt
PyPIimportlib-resources6.5.2indirekt
PyPIiniconfig2.3.0indirekt
PyPIinvoke2.2.1indirekt
PyPIipdb0.13.13indirekt
PyPIipython8.37.0indirekt
PyPIipython9.6.0indirekt
PyPIipython-pygments-lexers1.1.1indirekt
PyPIjedi0.19.2indirekt
PyPIjinja23.1.6indirekt
PyPIjsonschema4.25.1indirekt
PyPIjsonschema-specifications2025.9.1indirekt
PyPIkiwisolver1.4.9indirekt
PyPIlatexcodec3.0.1indirekt
PyPIlxml6.1.0indirekt
PyPImanifold3d3.2.1indirekt
PyPImapbox-earcut1.0.3indirekt
PyPImarkdown3.9indirekt
PyPImarkdown-it-py3.0.0indirekt
PyPImarkupsafe3.0.3indirekt
PyPImatplotlib3.10.8indirekt
PyPImatplotlib-inline0.1.7indirekt
PyPImdit-py-plugins0.5.0indirekt
PyPImdurl0.1.2indirekt
PyPImjlab1.5.3indirekt
PyPIml-dtypes0.5.4indirekt
PyPImpmath1.3.0indirekt
PyPImsgspec0.19.0indirekt
PyPImyst-parser4.0.1indirekt
PyPInetworkx3.4.2indirekt
PyPInetworkx3.5indirekt
PyPInodeenv1.9.1indirekt
PyPInvidia-cublas-cu1212.8.4.1indirekt
PyPInvidia-cuda-cupti-cu1212.8.90indirekt
PyPInvidia-cuda-nvrtc-cu1212.8.93indirekt
PyPInvidia-cuda-runtime-cu1212.8.90indirekt
PyPInvidia-cudnn-cu129.10.2.21indirekt
PyPInvidia-cufft-cu1211.3.3.83indirekt
PyPInvidia-cufile-cu121.13.1.3indirekt
PyPInvidia-curand-cu1210.3.9.90indirekt
PyPInvidia-cusolver-cu1211.7.3.90indirekt
PyPInvidia-cusparse-cu1212.5.8.93indirekt
PyPInvidia-cusparselt-cu120.7.1indirekt
PyPInvidia-nccl-cu122.27.5indirekt
PyPInvidia-nvjitlink-cu1212.8.93indirekt
PyPInvidia-nvshmem-cu123.3.20indirekt
PyPInvidia-nvtx-cu1212.8.90indirekt
PyPIonnx1.22.0indirekt
PyPIonnx-ir0.1.11indirekt
PyPIonnxruntime1.24.3indirekt
PyPIorjson3.11.8indirekt
PyPIpackaging25.0indirekt
PyPIparamiko5.0.0indirekt
PyPIparso0.8.5indirekt
PyPIpexpect4.9.0indirekt
PyPIpillow12.3.0indirekt
PyPIplatformdirs4.5.0indirekt
PyPIpluggy1.6.0indirekt
PyPIpre-commit4.3.0indirekt
PyPIprompt-toolkit3.0.52indirekt
PyPIprotobuf6.33.6indirekt
PyPIptyprocess0.7.0indirekt
PyPIpure-eval0.2.3indirekt
PyPIpybtex0.25.1indirekt
PyPIpybtex-docutils1.0.3indirekt
PyPIpycollada0.9.2indirekt
PyPIpycparser2.23indirekt
PyPIpydantic2.12.3indirekt
PyPIpydantic-core2.41.4indirekt
PyPIpydata-sphinx-theme0.15.4indirekt
PyPIpygments2.20.0indirekt
PyPIpynacl1.6.2indirekt
PyPIpyopengl3.1.10indirekt
PyPIpyparsing3.3.2indirekt
PyPIpyright1.1.408indirekt
PyPIpytest9.0.3indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpython-discovery1.2.1indirekt
PyPIpyvers0.1.0indirekt
PyPIpyyaml6.0.3indirekt
PyPIreferencing0.37.0indirekt
PyPIrequests2.33.1indirekt
PyPIrich14.2.0indirekt
PyPIroman-numerals4.1.0indirekt
PyPIroman-numerals-py4.1.0indirekt
PyPIrpds-py0.27.1indirekt
PyPIrtree1.4.1indirekt
PyPIruff0.14.14indirekt
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PyPIsetuptools83.0.0indirekt
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Abhängigkeits-Advisories 4

Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 215 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 4 tragen bekannte Advisories, davon 3 direkte.

PaketVersionBeziehungSchweregradAdvisoriesBehoben in
torch2.9.0direkthoch52.13.0
torch2.9.0+cu128direkthoch52.13.0
click8.3.0indirekthoch18.3.3
torch2.10.0+cpudirektmittel12.13.0

Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.

JSON-Rohbericht maschinenlesbar
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          "body": "* extend information of the exported ONNX metadata\n\n* Add tests\n\n* Also include clip\n\n* Apply suggestions from code review\n\nCo-authored-by: Louis LE LAY <le.lay.louis@gmail.com>\n\n* fix the linters and tests\n\n* Extend tests for the metadata\n\n* Fix CSV corruption for nested clip/scale metadata\n\n---------\n\nCo-authored-by: Louis LE LAY <le.lay.louis@gmail.com>\nCo-authored-by: Kevin Zakka <kevinarmandzakka@gmail.com>",
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          "body": "* Fuse stateless-control-law actuators to remove per-group host overhead\n\nBuilt-in actuators are already fused into one batched gather/delay/ctrl-write,\nbut ideal PD and DC motor actuators were not: each group paid its own gather,\ndelay update, control evaluation, and ctrl write every substep, and i\n[…]\nndon field-gather path), the\nshared-lag-per-environment behavior the PR description calls out as the one\nbehavioral change, and reset() on one absorbed actuator clearing the whole\nshared delay buffer.",
          "is_bot": false,
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          "body": "* Expose MuJoCo Warp broadphase settings in MujocoCfg\n\nAdds broadphase and broadphase_filter fields, applied to the warp\nOption after put_model since they have no equivalent in mujoco.MjOption.\nBoth default to None, leaving MuJoCo Warp's own defaults untouched.\n\nCo-Authored-By: Claude Sonnet 5 <nore\n[…]\nt that unset broadphase settings do not override\nput_model's own heuristic.\n\n---------\n\nCo-authored-by: Claude Sonnet 5 <noreply@anthropic.com>\nCo-authored-by: Kevin Zakka <kevinarmandzakka@gmail.com>",
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          "body": "torch.acos returns NaN when the argument drifts outside [-1, 1] due to\nfloating-point error in quaternion-rotated gravity projection. This\ncontaminates the termination signal and corrupts training steps.\n\nClamp the argument to [-1, 1], matching the existing safe pattern in\nlab_api/math.py slerp (line 1722).",
          "is_bot": false,
          "headline": "Fix NaN in bad_orientation termination due to unclamped acos (#1078)",
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          "headline": "Add changelog entry for MeshCfg (#1077)",
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        },
        {
          "oid": "c0e0648d21324aaf922467bfa67782ed877d8c19",
          "body": "Add an unlocked test matrix entry, a wheel/sdist smoke-test job, and a nightly latest-dependency run so upstream releases break a PR or nightly instead of a release.",
          "is_bot": false,
          "headline": "Test against unlocked dependencies in CI (#1074)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-28T23:58:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "08090e8a77228e733373f3b5c54f8b5a68d19d9d",
          "body": null,
          "is_bot": false,
          "headline": "Disable GL in release smoke test to avoid mujoco import crash (#1073)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-28T23:06:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "81a9cf6d905a6bf43df281dc5464c4af76ca499c",
          "body": null,
          "is_bot": false,
          "headline": "Cap numpy below 2.5 for mediapy compatibility (#1071)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-28T22:39:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9298ba5691858dec9f0fa7c53c0ffb453192da67",
          "body": null,
          "is_bot": false,
          "headline": "Prepare v1.5.0 release (#1070)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-28T22:24:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f2e3e86d36bcfd6414f0f6b8c9b05b639e04262a",
          "body": "…e (#1069)",
          "is_bot": false,
          "headline": "Forward sim after motion resample so relative body poses are not stal…",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-28T22:14:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "849d019e3c178a001156c08a90d95ab7350d2e8d",
          "body": null,
          "is_bot": false,
          "headline": "Bump mujoco and mujoco-warp to 3.10 (#1063)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-28T22:06:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1091cae96a0ac5303c6d7b76887b70b6fc7b7ea1",
          "body": "* ref to web demo\n\n* restored proper uv lock",
          "is_bot": false,
          "headline": "[DOCS] ref to WBC MJLab in docs (#1067)",
          "author_name": "Simeon Nedelchev",
          "author_login": "simeon-ned",
          "committed_at": "2026-06-28T16:02:03Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "efdcadc8b281553fd3e1be2a9a88db9553356e8a",
          "body": "This lets MetricsManager report episode-peak values (e.g. peak power, peak contact force) via a plain function instead of requiring stateful wrapper classes that maintain a running torch.maximum and abuse reduce=\"last\".\n\nThe implementation adds an _episode_max dict (allocated only for \"max\" terms) t\n[…]\n reports the mean peak across reset envs. Works with both step and per_substep terms.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>\nCo-authored-by: Kevin Zakka <kevinzakka@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add reduce=\"max\" to MetricsTermCfg (#1060)",
          "author_name": "Louis LE LAY",
          "author_login": "louislelay",
          "committed_at": "2026-06-18T20:53:29Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "1cb1bcbe9d51ca9e4f4c8007bb0debf894f729c6",
          "body": null,
          "is_bot": false,
          "headline": "adds plot live values (#1059)",
          "author_name": "Louis LE LAY",
          "author_login": "louislelay",
          "committed_at": "2026-06-18T20:48:50Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0cdc56246999409b83622764f5b38edb660cf16e",
          "body": null,
          "is_bot": false,
          "headline": "Add wuji-technology/wuji-mjlab to community projects (#1055)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-10T04:25:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "dac0824e125449d3447d2219004ffd6f6480c358",
          "body": "* revert casts\n\n* address claude's reviews",
          "is_bot": false,
          "headline": "Domain randomization for missing material fields (#1052)",
          "author_name": "Tarik Kelestemur",
          "author_login": "tkelestemur",
          "committed_at": "2026-06-08T19:20:24Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "61af2b75e9d44c93413aaa9bbace24575a9f6ad4",
          "body": "Bumps starlette from 0.52.1 to 1.2.1 and idna from 3.11 to 3.18 in uv.lock. Both are transitive dependencies (starlette via sphinx-autobuild, idna via various HTTP libraries). Resolves two medium-severity alerts: starlette ≤ 1.0.0 had missing Host header validation that could poison request.url.path and bypass path-based security checks; idna < 3.15 had a bypass for the CVE-2024-3651 fix in idna.encode().",
          "is_bot": false,
          "headline": "Bump starlette and idna to fix dependabot security alerts (#1051)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-05T18:46:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b16d02066b5e00f7e6d01bf472ddebedef23648a",
          "body": "The bundled stubs had drifted from the installed mujoco version. Regenerate\nthem, and drop the platform-specific OpenGL backend stubs so the output is\nidentical on macOS and Linux. A new CI job regenerates the stubs and fails if\nthey are stale; the generation script (run via make stubs) post-processes the\noutput to keep it platform-independent and reproducible.\n\nFixes #1048",
          "is_bot": false,
          "headline": "Regenerate MuJoCo type stubs and keep them in sync via CI (#1050)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-05T04:01:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8d5c5bdb79fcba202fdc241dc711a9dc6dc896f6",
          "body": "…ts; Add `RecorderManager.get_term()` (#1049)\n\n* Simplified recorder manager\n\n* Minor\n\n* Minor",
          "is_bot": false,
          "headline": "`RecorderManager` uses a `dict[str, RecorderTerm]` instead of two lis…",
          "author_name": "bd-adaniele",
          "author_login": "bd-adaniele",
          "committed_at": "2026-06-05T03:55:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1d1474040c3887af8419e20a682a132e7bc3fe86",
          "body": "The first-push backfill in CircularBuffer.append hard-coded a 3-D broadcast\n(is_first_push[None, :, None] and data[None, :, :]), which only lines up when\nthe buffer is exactly (max_len, batch, feature). DcMotorActuator with a\nvariable delay lag range stacks position, velocity, and effort targets int\n[…]\n error whenever num_envs != num_targets. The fix derives the broadcast\nshape from data.ndim so it works for tensors of any rank.\n\nSupersedes #1045.\n\nCo-authored-by: ZzzzzzS <ZhouZishun@mail.zzshub.cn>",
          "is_bot": false,
          "headline": "Fix CircularBuffer backfill broadcast for >2D data (#1046)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-04T17:11:43Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8574f9cd796bd96aa332c98799a4233deca873ef",
          "body": "Fixes #1042",
          "is_bot": false,
          "headline": "Fix per-axis domain randomization events clobbering each other (#1043)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-04T01:09:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "40f8d93e31b589dccae78ba6aadfc4b74cd1e3fd",
          "body": "* fix: set MUJOCO_GL default before mujoco import\n\n* Guard MUJOCO_GL=egl default to Linux only\n\nmujoco's gl_context validates MUJOCO_GL against a platform-specific\nallowlist at import time. egl is only valid on Linux; on macOS/Windows\nit raises RuntimeError. Setting it unconditionally in mjlab/__ini\n[…]\ne\nbehavior is unchanged from the previous commit. On macOS/Windows we\nleave MUJOCO_GL alone so mujoco falls back to GLFW as before.\n\n---------\n\nCo-authored-by: Kevin Zakka <kevinarmandzakka@gmail.com>",
          "is_bot": false,
          "headline": "Set MUJOCO_GL default before mujoco import (#1036)",
          "author_name": "Ruslan Rakhimov",
          "author_login": "rakhimovv",
          "committed_at": "2026-06-01T22:22:44Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "1dc3acff3dd9937918acf8df0c52e08c149822a8",
          "body": "Fixes #1033.",
          "is_bot": false,
          "headline": "Fix terrain generation bugs and rework heightfield coloring (#1037)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-06-01T22:03:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "898a700514f8d3c92146ec158190e6f2e4d8c11a",
          "body": null,
          "is_bot": false,
          "headline": "Skip runs with no motion artifact in generate_report instead of crashing",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-30T17:24:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "716b1dcef3b82f5bf88a047d7eb746084e4ebd17",
          "body": "…rename (#1032)\n\nrsl-rl-lib 5.4 renamed the WandB logger type string from 'wandb' to\n'WandbLogWriter'. The tracking runner's save() method still checked for\nthe old string, so use_artifact() was silently skipped on every checkpoint\nsave after the 5.4 bump. This caused the nightly report to fail with\n[…]\n A new parametrized regression test covers both logger type values\nand a third test confirms the non-WandB path leaves use_artifact uncalled.\n\nFixes the nightly benchmark failures starting 2026-05-28.",
          "is_bot": false,
          "headline": "Fix WandB artifact registration broken by rsl-rl-lib 5.4 logger type …",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-29T21:18:20Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3285a16bbf5f16b1b906458da60fa2ad91ab2fed",
          "body": "* Remove CUDA syncs from circular buffer\n\n* ruff",
          "is_bot": false,
          "headline": "Remove CUDA syncs from circular buffer (#1031)",
          "author_name": "Robin Deits",
          "author_login": "rdeits-bd",
          "committed_at": "2026-05-29T17:47:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "72b9ae546f3d3c208e5a8dcc750b412561a8c9fd",
          "body": "Also fix doc-related inaccuracies.",
          "is_bot": false,
          "headline": "Make curriculum terrain difficulty deterministic. (#1028)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-29T17:11:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b57b5b3a8051a6c7a5809398eb57e7d7de640687",
          "body": "* Fix GPU selection crash with MIG devices\n\n* Add changelog entry",
          "is_bot": false,
          "headline": "Fix GPU selection crash with MIG devices (#1029)",
          "author_name": "Filippo Luca Ferretti",
          "author_login": "flferretti",
          "committed_at": "2026-05-29T16:04:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "dd973373a39d3ea687109303acad657eaf892d42",
          "body": "* Use mjviser 0.0.14 from PyPI instead of git pin\n\n* Drop changelog entry",
          "is_bot": false,
          "headline": "Use mjviser 0.0.14 from PyPI instead of git pin (#1022)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-28T01:12:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "76af1cdbdb7945e08d000d0f66c2fe869c713e2e",
          "body": null,
          "is_bot": false,
          "headline": "Bump rsl-rl-lib from 5.2.0 to 5.4.0 (#1021)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-28T01:05:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0b963a9786ab1dec78475e1c79ad2f210b2eab06",
          "body": "* Add BuiltinDcMotorActuator: native MuJoCo <dcmotor> wrapper\n\nSupports voltage/position/velocity input modes with back-EMF, voltage\nsaturation, and configurable Kt/Ke/R. The existing DcMotorActuator stays\nbecause LearnedMlpActuator inherits from it.\n\n* Address reviewer feedback\n\n* Add new actuator classes to docs",
          "is_bot": false,
          "headline": "Add BuiltinDcMotorActuator: native MuJoCo <dcmotor> wrapper (#1016)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-27T15:46:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "57729d0fdb9931460e6a6354c2e448563fe66a6e",
          "body": "actions/checkout v4 -> v6 and astral-sh/setup-uv v6 (and a stale v4 in docs.yml) -> v7. v5.0.0 of checkout and v7.0.0 of setup-uv were the Node 24 jumps. docker.yml was already on actions/checkout@v6 and is unchanged. The auto-generated claude.yml and claude-code-review.yml are deliberately left alone. Removes the Node 20 deprecation warning that surfaced in the v1.4.0 publish run.",
          "is_bot": false,
          "headline": "Bump GitHub Actions to Node 24 versions (#1015)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-26T23:04:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4360096b49c1bcc478668c11ce7d458db747e49d",
          "body": null,
          "is_bot": false,
          "headline": "Fix CITATION.cff commit hash for v1.4.0.",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-26T22:21:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3cc461cd15e7155a8998b75ad767fae6dd448072",
          "body": "* Prepare v1.4.0 release\n\n- Bump version to 1.4.0\n- Raise mujoco-warp floor to >=3.8.0.3 and cap mujoco-warp/mujoco to\n  ~=3.8.0 (matches the pinned git rev 88b55fc2, whose code first reached\n  PyPI in 3.8.0.3, and mirrors Newton's constraints)\n- Declare scipy>=1.15 explicitly; it is imported by the\n[…]\nint CITATION commit\n\nDate moved one day forward to match the actual release. CITATION commit hash points at current main HEAD as a fresh placeholder; will be repointed to the merge commit at tag time.",
          "is_bot": false,
          "headline": "Prepare v1.4.0 release (#1005)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-26T22:20:00Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "348a011223ac379ee74da6ff85411c96d1daedd8",
          "body": "…city references (#1014)\n\nImplicit-integration counterpart to IdealPdActuator. Same interface (position + velocity targets, kp/kd), but expresses the PD as native MuJoCo <position>/<velocity> elements so the implicit and implicitfast integrators include the kp/kd derivatives in their velocity update. The actuator stays stable at gain/timestep combinations where explicit Python PD would diverge.",
          "is_bot": false,
          "headline": "Add BuiltinPdActuator: implicit-integration PD with position and velo…",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-26T21:20:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "feefdd75cf29a422862c50fd94a74c0ac5bd678a",
          "body": "An Entity has at most one freejoint, which serves as its root. A second freejoint was previously accepted silently and only surfaced later as a cryptic shape mismatch when writing root state. Raise a clear error at construction instead, pointing users to model each detached floating body as its own SceneCfg.entities entry.",
          "is_bot": false,
          "headline": "Reject entity specs with multiple freejoints (#1013)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-25T18:05:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fea1abfd770c39a5a9ea07f18b40276012d411a1",
          "body": "The zoom/pan and regression highlighting added in #1010 added more noise than value, so this trims the page back to the date-range presets (both tabs) and softer point markers. The corrected metric data is unchanged; this only touches the page template.",
          "is_bot": false,
          "headline": "Simplify nightly page to the date-range filter (#1012)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-25T16:23:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "623ca0b41792864ad126f760528b5e8c0df6d4fd",
          "body": "…(#1010)\n\nThe throughput tab had the same crowding as tracking (112 points, full-size markers) and was not covered by the tracking range filter. It now has its own date-range selector, and a single setRange windows both tabs at once and keeps the two selectors in sync.\n\nBoth tabs now flag regression\n[…]\nc card shows a red value with a warning glyph when its latest run regressed.\n\nAll charts get wheel-zoom and drag-pan on the x-axis via chartjs-plugin-zoom; picking a range preset also resets the zoom.",
          "is_bot": false,
          "headline": "Extend nightly page: throughput range filter, regression flags, zoom …",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T23:09:35Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ff1cbb8fb49f600cbac698afaafef0ee0d530146",
          "body": "Each tracking chart plotted every nightly run with full-size points across the whole history, so with ~130 runs the charts became dense and hard to read. This adds a 30d/90d/180d/All selector that windows all the tracking charts at once (defaulting to 90 days) by setting the time axis minimum, and softens the per-point markers so the line and rolling average read more clearly. The throughput charts are unaffected.",
          "is_bot": false,
          "headline": "Add a date-range filter to the nightly benchmark page (#1009)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T22:57:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "15b833fc5fd11fcdb081bc5d4afaacbdccd5f06d",
          "body": "* Improve tracking metrics: root-relative frame, RMS joint vel, EE validation\n\ncompute_root_relative_mpkpe now uses body_pos_relative_w (the reward's re-anchored reference), so it removes both global translation and yaw drift and measures intrinsic body pose error instead of leaking heading drift in\n[…]\ne, matching the reward.\n\nPer-step averaging previously inferred active steps from a nonzero MPKPE, which is fragile; it now tracks an explicit active mask.\n\n* Tighten tracking metric changelog entries",
          "is_bot": false,
          "headline": "Improve tracking metrics and fix evaluation frame alignment (#1008)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T22:10:37Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6a8a8823928f257d2195b0723bbfd6e514ffb58f",
          "body": "compute_mpkpe compared the robot against body_pos_relative_w, which is the reference re-anchored to the robot's root every step (the quantity the tracking reward optimizes). That cancels global drift, so the metric never measured the global-frame error it documents and nearly duplicated compute_root_relative_mpkpe. It now uses the true global reference body_pos_w. Adds a test pinning this.\n\nFixes #1006.",
          "is_bot": false,
          "headline": "Fix tracking MPKPE metric to use the global reference (#1007)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T20:51:05Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "de120a9a464373118d07bb1946c92f5b23f4ce96",
          "body": null,
          "is_bot": false,
          "headline": "Fix delayed actuators only delaying a single command field (#1001)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T18:02:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6fc2a60264383732d926923a9fff30e0a3899157",
          "body": "* Add sensor-based projected gravity for IMU pose randomization\n\nLinear and angular base velocity are read from MuJoCo sensors on the IMU site, so they already reflect the site's pose. Projected gravity, however, came from mdp.projected_gravity, which uses the root body orientation and is blind to t\n[…]\nurce switch and the IMU site DR events) so no existing task's training behavior changes here. Wiring up IMU mounting randomization on the locomotion tasks, with tuned ranges, can be a separate change.",
          "is_bot": false,
          "headline": "Add sensor-based projected gravity for IMU pose randomization (#1003)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T17:46:54Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "4be5e4a3a44b6f6416e94a0e7be19211b72cf229",
          "body": "* \"Claude PR Assistant workflow\"\n\n* \"Claude Code Review workflow\"",
          "is_bot": false,
          "headline": "Add Claude Code GitHub Workflow (#1004)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T17:25:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0beebfc1218ecf7abc6f74c6f6c20bc4f5342210",
          "body": "* Deduplicate env_ids handling in events and harden reset path\n\nThe five reset event functions each repeated the same four-line guard to\nexpand env_ids=None to all environments. Replace those copies with a single\nresolve_env_ids helper, and apply it to push_by_setting_velocity and\napply_external_for\n[…]\nform,\nreset_root_state_from_flat_patches, and push_by_setting_velocity, each\nalso repeating the None-to-empty-dict normalization. Extract it into\n_sample_se3_range so every call site is a single line.",
          "is_bot": false,
          "headline": "Deduplicate env_ids handling in events and harden reset path (#1002)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T14:58:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "4abadaf7a7f80df235417154731ff2e371eb70b9",
          "body": "Add an FAQ entry under Platform Support clarifying that device=\"cpu\" does\nnot stop Warp from initializing visible GPUs, and that the supported way to\nkeep a run off the GPU is to set CUDA_VISIBLE_DEVICES=\"\" before launching.\n\nFollow-up to the #950 revert (#999), which addresses #949.",
          "is_bot": false,
          "headline": "docs: explain CPU-only runs and CUDA_VISIBLE_DEVICES (#1000)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T05:05:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "be570e98c5fd9eca751217250605288c614fca6f",
          "body": "…999)\n\nThis reverts commit dd959eec. #950 attempted to stop a device=\"cpu\"\nManagerBasedRlEnv from claiming a CUDA context on machines with a visible\nGPU by skipping wp.rand_init for CPU devices. The fix targeted the wrong\ncall: Warp eagerly enumerates and initializes every visible CUDA device the\nfi\n[…]\n\nThe supported way to keep a CPU run off the GPU is to set\nCUDA_VISIBLE_DEVICES=\"\" before launching; mjlab cannot prevent Warp from\ninitializing visible devices once its runtime starts.\n\nReopens #949.",
          "is_bot": false,
          "headline": "Revert \"Skip Warp CUDA init in seed_rng when device is CPU (#950)\" (#…",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-24T05:04:53Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7628df26b2669daea38b3eeec28575335f202c0a",
          "body": "The offscreen renderer recomputed its context \"neighbor\" robots every\nframe from `env_origins`. On rough terrain the curriculum reassigns\norigins on reset, so the nearest-neighbor set kept changing and context\nrobots popped in and out, causing heavy flicker. Flat tasks were fine\nsince they disable the terrain curriculum and origins stay static.\n\nCompute the neighbor set once and cache it. `env_idx` and `nworld` are\nfixed for a recording session, so the context robots are now stable.\n\nFixes #979",
          "is_bot": false,
          "headline": "Fix rough-terrain video flicker from mutating env origins (#996)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-23T21:12:05Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "731fa27b8c023d3d5258501c694979425d2a37fd",
          "body": "Adds an axis-oriented box primitive mirroring add_ellipsoid, supported by\nboth the native and Viser viewers. size is the box half-extents.\n\nFixes #992",
          "is_bot": false,
          "headline": "Add add_box primitive to DebugVisualizer (#995)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-21T01:37:16Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "866086865dfb28a859b88e5623ff7382a12615e5",
          "body": "…(#991)",
          "is_bot": false,
          "headline": "Bump urllib3 to 2.7.0 and paramiko to 5.0.0 to fix dependabot alerts …",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-17T16:47:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a0ba05890a2ea4111b33c9cbb85f690bf19ca434",
          "body": "…s (#988)\n\nThe per-process seed offset in scripts/train.py used LOCAL_RANK (rank\nwithin a node) instead of RANK (global rank), so multi-node setups\nwhere each node has the same LOCAL_RANK assignment ended up with\nduplicate seeds. For example, training across two nodes with one GPU\neach would give bo\n[…]\n nodes local_rank=0 and therefore the same seed.\nSwitching to the global RANK ensures every process across all nodes\ngets a unique seed offset.\n\nCo-authored-by: Claude Opus 4.7 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Fix multi-node distributed training using duplicate seeds across node…",
          "author_name": "bd-pdomanico",
          "author_login": "bd-pdomanico",
          "committed_at": "2026-05-12T02:17:41Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "49f3983f30d01bd1de61661f29205d1818a36dff",
          "body": "…987)\n\nFixes #986",
          "is_bot": false,
          "headline": "Add get_observations() to ManagerBasedRlEnv to satisfy EnvProtocol (#…",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-11T17:25:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9a43f2d508b963e8caf4af1e7c1d2533d4289287",
          "body": null,
          "is_bot": false,
          "headline": "Update mujoco-warp to 88b55fc2 (#985)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-08T23:58:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6b25d7094d09ddcffec7606b1f3b3c127c6e2a14",
          "body": "Fixes two high-severity Dependabot alerts:\n- Path traversal vulnerability allowing arbitrary file write/delete outside the repository (patched in 3.1.48)\n- Newline injection in config_writer().set_value() enabling RCE via core.hooksPath (patched in 3.1.49)",
          "is_bot": false,
          "headline": "Bump GitPython to >=3.1.49 to fix security vulnerabilities (#982)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-07T20:03:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0f46d39a580b9fba4a345777a20dc8f9b90614a2",
          "body": null,
          "is_bot": false,
          "headline": "Bump viser to 1.0.27. (#978)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-07T03:38:55Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6c9ff0e2c28f4ba1f8e6f752b16dd489abeeb946",
          "body": null,
          "is_bot": false,
          "headline": "Fix make sync by selecting one torch extra (#977)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-07T03:26:21Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3fcfab57708de91b8bca7c1b91b075f4637c3d1b",
          "body": "Capture cooldown_s from cfg.params at __init__ and pre-sample the initial\n_interval_time_left there, removing the _needs_init flag and the lazy-init\nblock in __call__. All cooldown sampling sites now share a single\n_sample_cooldown helper backed by sample_uniform.",
          "is_bot": false,
          "headline": "Clean up apply_body_impulse cooldown handling (#976)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-07T03:22:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "dd07e05796bb434664ad927b4b5bc0d3c34bf945",
          "body": "apply_body_impulse documented its lifecycle as starting with a cooldown,\nbut _interval_time_left was initialized to zero, so an impulse always fired\non the very first step and the first step after every reset. This made\nimpulse timing perfectly correlated with episode resets — exactly the kind\nof artifact RL policies can learn around.\n\nSample the initial cooldown lazily on the first __call__ (and on the first\ncall after each reset), since cooldown_s is only known at __call__ time.\n\nFixes #973",
          "is_bot": false,
          "headline": "Sample apply_body_impulse cooldown lazily on first step (#975)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-07T03:05:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2e1be363ccbbfccab7799f4435068a1b9c0cb82d",
          "body": "The if isinstance(env_ids, slice) branch in reset() assigned reset_ids = env_ids\nin both arms, making the alias redundant. Use env_ids directly.",
          "is_bot": false,
          "headline": "Remove tautological if/else in apply_body_impulse.reset (#974)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-07T02:46:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "80a12a5e12ffa66ec32a4b8167926cf4ba239fec",
          "body": "…972)\n\n* Fix pd_gains and effort_limits silently ignoring Operation objects\n\nBoth functions only accepted literal strings \"scale\"/\"abs\", so passing an Operation instance (e.g. dr.scale) fell through every if/elif branch and did nothing. Now they accept Operation | str like every other DR event, reso\n[…]\n operations.\n\nFixes #971\n\n* Add explicit assert op.name == \"abs\" in else branches\n\nReviewer feedback: make the else branches self-documenting instead of\nrelying on the nonlocal guard 50 lines earlier.",
          "is_bot": false,
          "headline": "Fix pd_gains and effort_limits silently ignoring Operation objects (#…",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-06T18:05:35Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "5a433e83fb27dc2b44b21863b47d3dae6e4dc211",
          "body": "The old 3-geom foot collision geometry was replaced with the current multi-geom version but the original geoms were left behind as comments. The first geom in each commented block was identical to the active one, and the rest were superseded. Remove both left and right foot commented blocks.",
          "is_bot": false,
          "headline": "Remove stale commented-out foot collision geoms from G1 XML (#970)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-05-04T19:10:55Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b7e4ffa67e26e6eb04bceb9bc2babe009f41c720",
          "body": null,
          "is_bot": false,
          "headline": "Remove use of deprecated warp-lang symbols (#968)",
          "author_name": "Robin Deits",
          "author_login": "rdeits-bd",
          "committed_at": "2026-05-04T17:21:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "96349c52132a2480a7c10ed9dc64351f727fe492",
          "body": "* per world material\n\n* Add textures to reserved-name validation\n\nWithout this, user-supplied variant textures starting with a reserved\nprefix (e.g. \"mjlab/pad/\") would silently collide instead of raising\nearly. Mirrors the existing check for meshes, materials, and other\nasset types.\n\n* Add changelog entry for per-world material variants\n\n---------\n\nCo-authored-by: Kevin Zakka <kevinarmandzakka@gmail.com>",
          "is_bot": false,
          "headline": "per world material (#966)",
          "author_name": "Omar Rayyan",
          "author_login": "omarrayyann",
          "committed_at": "2026-05-04T16:27:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4b2f90b61c74a2d2160d99a52a2291f37a1555f9",
          "body": "* [Bug Fix] Fix contact sensor global frame rotation\n\n* Add contribution credit and fix test docstring style\n\n---------\n\nCo-authored-by: Kevin Zakka <zakka@berkeley.edu>",
          "is_bot": false,
          "headline": "[Bug Fix] Fix contact sensor global frame rotation (#963)",
          "author_name": "bd-pdomanico",
          "author_login": "bd-pdomanico",
          "committed_at": "2026-04-30T20:17:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "12dc0db873209bd33e6e4e5d0d8a2760c468fefc",
          "body": "…(#960)\n\nReward terms (e.g. velocity task metrics) write into `extras[\"log\"]` during `reward_manager.compute()`, but `_reset_idx()` was clearing the dict with `self.extras[\"log\"] = dict()` before repopulating it with manager reset data. Since `_reset_idx` runs after `reward_manager.compute()` in `st\n[…]\ntice.\n\nMove the `extras[\"log\"]` clearing from `_reset_idx()` to the top of `step()` and `reset()`, so reward terms write after the clear and `_reset_idx` merges additively via `.update()`.\n\nFixes #957",
          "is_bot": false,
          "headline": "Fix extras[\"log\"] entries from reward terms being discarded on reset …",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-30T01:43:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d0617cc76f3995fdb91ac5accd4e80e6472b30c3",
          "body": "…ruction (#956)\n\nThree layered changes to the per-world mesh variant feature on the\nnot-yet-released cycle.\n\nThe cross-variant validator is now a recursive structural check covering\nbody trees, joints, primitive (non-mesh) geoms, the spec-level\ncollections (actuators, sensors, tendons, equalities), \n[…]\nble is an explicit per-world assignment policy\ncalled with num_envs at sim init. Doc revamp at the\n:ref:\\`heterogeneous_worlds\\` anchor walks through all three modes\nplus a worked slot-layout example.",
          "is_bot": false,
          "headline": "Per-world mesh variant cleanup: validation, consolidation, O(N) const…",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-29T20:32:38Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "0040979763ab43bc1220812c9de4bc74e2631f42",
          "body": "Adds an explicit ValueError in VariantEntityCfg construction when\nvariants are not floating-base, replacing silent stacked-at-origin\nbehavior with a clear message pointing at body.add_freejoint(). The\nmocap auto-wrap pass is not applied for variant entities, and there\nis no concrete use case for fix\n[…]\nn is removed: the\nfixed-base rule now lives in the design paragraph, the \"only\nmeshes/inertials vary\" point was design intent already covered\nthere, and the shallow-validator note was edge-case noise.",
          "is_bot": false,
          "headline": "Reject fixed-base mesh variants and tighten docs (#955)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-29T00:15:39Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7708968b4afeeebfe98c397661343aee95b28485",
          "body": "* Add per-world mesh variants\n\n* Fix per-world mesh allocations missing device scope (#935)\n\n`per_world_mesh()` internally calls `mjwarp.put_model` and ~12\n`wp.array(...)` allocations for the per-world dataid table and\nvariant-dependent fields (geom_size, body_mass, body_inertia, ...).\n\nIn the curre\n[…]\nnt's own baseline rather than\nbroadcasting a shared template default.\n\n---------\n\nCo-authored-by: XiangruiJiang <1020268296@qq.com>\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Add per-world mesh variants (#860)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-28T23:56:16Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "f7c873036e09883d953294ecc17a3eb03baa2b5a",
          "body": "…ipt (#954)\n\nThe @torch.compile(fullgraph=True) decorator added in #948 hits dynamo's\nrecompile_limit (8) when the full test suite runs, causing\ntest_raycast_sensor.py to fail with FailOnRecompileLimitHit. The shape\nspecialization on the leading batch dim exhausts the budget across the\nmany env cons\n[…]\ne implementation rewrite from #948 (which is\nthe actual source of the speedup). Only the decorator changes.\n\nAlso drops the corresponding changelog entry, since the speedup\nattribution is now muddier.",
          "is_bot": false,
          "headline": "Revert quat_from_matrix decorator from torch.compile to torch.jit.scr…",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-28T22:59:33Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3d6cb9588b08dac55febaa92808667a587745086",
          "body": "Add a note about the mujoco/mujoco-warp 3.8 bump and the multiccd flag removal. Split bd-pdomanico's RayCaster + quat_from_matrix entry into two and add contribution credits for both that and tkelestemur's segmentation work.",
          "is_bot": false,
          "headline": "Polish changelog entries for upcoming release (#953)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-28T22:17:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2ccbb0c685acd5f9fc039969f0b9eef10630ad2b",
          "body": "mujoco_warp's renderer now outputs (object_id, object_type) vec2i pairs instead of raw geom IDs. This propagates that typed format through mjlab's camera pipeline, changing CameraSensorData.segmentation from [B, H, W, 1] to [B, H, W, 2]. The manipulation observation helpers and the viser camera viewer are updated accordingly.\n\nCo-authored-by: Kevin Zakka <kevinarmandzakka@gmail.com>",
          "is_bot": false,
          "headline": "Adapt camera segmentation to mujoco-warp's typed output (#911)",
          "author_name": "Tarik Kelestemur",
          "author_login": "tkelestemur",
          "committed_at": "2026-04-28T22:11:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f4a7504a4accf5846e88a95859f43e9335167f64",
          "body": "* Speedup of raycast post-processing\n\nRemoves boolean-mask indexing operations with `masked_fill_` and an implementation of hit_pos_w that uses a clamped distance to put hit_pos_w for misses at world_origins. These effectively remove all cuda syncs from the ray postprocess, unblocking the cpu thread\n[…]\n.23x    1.79e-07\n\n* Add changelog entry for raycast post-processing speedup\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Raycast sensor optimization (#948)",
          "author_name": "bd-pdomanico",
          "author_login": "bd-pdomanico",
          "committed_at": "2026-04-28T22:01:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "dd959eec601675223778528e4ee5443e4e35addf",
          "body": "ManagerBasedRlEnv unconditionally called wp.rand_init via seed_rng, which initializes Warp on every visible CUDA device. As a result, constructing the env with device=\"cpu\" still claimed a CUDA context on GPU-visible machines.\n\nseed_rng now takes an optional device argument and skips wp.rand_init when the device resolves to CPU. ManagerBasedRlEnv threads its constructor device through to the seed call so device=\"cpu\" no longer touches Warp's CUDA runtime.\n\nFixes #949",
          "is_bot": false,
          "headline": "Skip Warp CUDA init in seed_rng when device is CPU (#950)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-28T21:58:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e1f2883d6257c5599ff82f60ddbd2c0bc65584fb",
          "body": "The previous mujoco 3.7 nightly was yanked, breaking CI. This bumps both mujoco (to 3.8.1 nightly) and mujoco-warp (to a post-3.8.0 commit that includes the cache_kernel fix from google-deepmind/mujoco_warp#1318). The multiccd enable flag was removed in mujoco 3.8 (it became default-on), so the test that exercised it now uses the energy flag instead.\n\nFixes #948",
          "is_bot": false,
          "headline": "Upgrade mujoco to 3.8 and mujoco-warp to 3.8.0 (#952)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-28T21:57:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "33fc155eefdea47aa6650d4e5a91181518ce387e",
          "body": "The update is fully backwards compatible with mjlab's usage. Notable upstream additions include torch.compile support for PPO and Distillation, and optional std clamping and constant std in GaussianDistribution.",
          "is_bot": false,
          "headline": "Bump rsl-rl-lib from 5.0.1 to 5.2.0 (#947)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-28T01:16:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0a796ea46407214adc49247a5b8a9f4b3c76ee36",
          "body": "Add constraint-dependencies to enforce GitPython>=3.1.47 (command injection, CVE-2024-22190) and lxml>=6.1.0 (XXE via iterparse default config). Both are transitive dependencies pulled in by rsl-rl-lib, wandb, and yourdfpy.",
          "is_bot": false,
          "headline": "Bump GitPython and lxml to fix Dependabot security alerts (#946)",
          "author_name": "Kevin Zakka",
          "author_login": "kevinzakka",
          "committed_at": "2026-04-27T22:47:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8cf4664d976eec6f28ddc4a3862350d0ac7e4a90",
          "body": "Fixes #942",
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                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "topics": [
                "isaaclab",
                "mujoco",
                "mujoco-warp",
                "reinforcement-learning",
                "robotics-simulation"
              ],
              "has_wiki": true,
              "homepage": "https://mujocolab.github.io/mjlab/",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://mujocolab.github.io/mjlab/",
                "points": 15,
                "status": "met",
                "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": "5 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 5
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "at_risk",
        "name": "Security",
        "value": 48,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 49,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 17,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 1,
              "scorecard_aggregate": 4.9
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 4.5,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 12/30 approved changesets -- score normalized to 4",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 12 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
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              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "6 existing vulnerabilities detected",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "at_risk",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 215 resolved dependencies against OSV. 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": [
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 215
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
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            "value": 44,
            "inputs": {
              "source": "osv",
              "advisories": 12,
              "affected_packages": 4,
              "assessed_packages": 215,
              "unassessed_packages": 0,
              "affected_by_severity": "high 3, moderate 1",
              "direct_affected_packages": 3
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "3 affected: torch 2.9.0 (high 8.8), torch 2.9.0+cu128 (high 8.8), torch 2.10.0+cpu (moderate 5.3)",
                "points": 7.7,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_affected",
                    "params": {
                      "count": 3,
                      "packages": "torch 2.9.0 (high 8.8), torch 2.9.0+cu128 (high 8.8), torch 2.10.0+cpu (moderate 5.3)"
                    }
                  }
                ],
                "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": "3 advisory-carrying package(s) unaddressed past 90 days; oldest published 478 days ago",
                "points": 25.4,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_stale",
                    "params": {
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                      "count": 3,
                      "oldest": 478
                    }
                  }
                ],
                "max_points": 40
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            ]
          },
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            "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": 215,
              "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",
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            "value": 100,
            "inputs": {
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              "red_flag": false,
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              "policy_countries": [
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                "Iran",
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              "review_only_matches": 0,
              "assessed_self_published_locations": 9
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
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                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
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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?"
      },
      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
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        "weight": 0,
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            "inputs": {
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              "agent_instruction_max_bytes": 2084
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            "components": [
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                "key": "agent_instructions",
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                "points": 45,
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                    "code": "file_list",
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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
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                "key": "legible_commit_history",
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                "points": 40,
                "status": "met",
                "details": [
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                    "code": "legible_history",
                    "params": {
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                      "sampled": 100
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                  }
                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
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              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
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              "has_linter_config": true,
              "typecheck_configs": [
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              "agent_commit_share": 0.07,
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              "dependency_bot_commit_share": 0
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            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile",
                "points": 18,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                "max_points": 18
              },
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                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
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                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "src/mjlab/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/mjlab/py.typed"
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                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "7 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "agent_authored_commits",
                    "params": {
                      "count": 7,
                      "sampled": 100
                    }
                  }
                ],
                "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": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 72997,
              "source_files_sampled": 284,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/mjlab/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "src/mjlab/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/284 source files over 60KB",
                "points": 54.6,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 284,
                      "oversized": 2
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "demos",
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "demos, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "demos, notebooks"
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                "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:mjlab@1.5.3; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-22T18:15:38.073302Z",
  "schema_version": "0.26.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mujocolab/mjlab.svg",
  "full_name": "mujocolab/mjlab",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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