Öffentliches RegisterExzellent
Software-GesundheitsberichtSchema 0.17.0 · Metriken 1.13.0 · 2026-07-21 03:45 UTC
ag2ai / ag2
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
ag2ai/ag2 erreicht einen Gesundheitsindex von 89 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei Security (78/100). Zuletzt vor 1 Tag aktualisiert. 6 Mitwirkende tragen den Großteil der jüngsten Arbeit.
89
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
89
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
ag2aiOrganisation
447 Follower32 öffentliche Reposseit Nov. 2024
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | ag2 | 0.14.0 | 494.408 | 85 | vor 24 Tagen | ag2ag2.aiag2aiagentagenticaiautogen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
99
Entwicklungsaktivität
99Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 1 Tagen |
| 35.3/36 | Commit-Rhythmus — 51/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 672 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 672 |
| human_commit_share | — |
| days_since_last_push | 1 |
| active_weeks_last_year | 51 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 76 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 17 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 7,8 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 76 |
| latest_release_tag | v1.0.0b0 |
| releases_from_tags | nein |
| days_since_latest_release | 17 |
| mean_days_between_releases | 7,8 |
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?
88
Popularität & Verbreitung
94Exzellent
Wie die Bewertung erfolgt
| 59.7/60 | Stars — 4.783 Stars |
| 23.6/25 | Forks — 678 Forks |
| 10.3/15 | Watcher — 72 Watcher |
Verwendete Eingangsdaten
| forks | 678 |
| stars | 4.783 |
| watchers | 72 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community-Gesundheit
77Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | ja |
Ökosystem-Verbreitung (Downloads)
95Exzellent
Wie die Bewertung erfolgt
| 75.9/80 | Downloads pro Monat — 494.408 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | ag2 |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 494.408 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
84
Maintainer-Resilienz (Bus-Faktor)
91Exzellent
Wie die Bewertung erfolgt
| 48.6/54 | Bus-Faktor — 6 Beitragende decken die Hälfte aller Commits ab |
| 19.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 14 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 6 |
| contributors_sampled | 100 |
| top_contributor_share | 0,142 |
Wie die Bewertung erfolgt
| 46.2/46.8 | Issue-Lösungsquote — 99 % der Issues geschlossen |
| 29.7/38.3 | PR-Annahme — 1.608/2.074 entschiedene PRs gemergt |
| 7.5/15 | OpenSSF Scorecard: Code-Review — Found 13/24 approved changesets -- score normalized to 5 |
Verwendete Eingangsdaten
| merged_prs | 1.608 |
| open_issues | 9 |
| closed_issues | 848 |
| issue_closed_ratio | 0,989 |
| closed_unmerged_prs | 466 |
Eigentümerschaft & Trägerschaft
64Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 19.1/25 | Reichweite des Inhabers — 447 Follower von ag2ai |
| 14.4/25 | Kontohistorie — 32 öffentliche Repos, Kontoalter ca. 1 Jahre |
Verwendete Eingangsdaten
| followers | 447 |
| owner_type | Organization |
| is_verified | — |
| owner_login | ag2ai |
| public_repos | 32 |
| account_age_days | 616 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 24 Tagen |
| 20/20 | Versionshistorie — 85 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | ag2 |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 24 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
92
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 11 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://ag2.ai |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 16 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | a2a, agent-framework, llm, python, agentic, ai, llms, mcp, multi-agent, multi-agent-system, genai, agentic-ai, ai-agents-framework, aiagents, open-source, ag2 |
| has_wiki | nein |
| homepage | https://ag2.ai |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
78
Sicherheitslage
72Gut
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3.8/7.5 | Code-Review — Found 13/24 approved changesets -- score normalized to 5 |
| 2.5/2.5 | Contributors — project has 16 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 4.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9 |
| 4/5 | SAST — SAST tool is not run on all commits -- score normalized to 8 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 5.2/7.5 | Vulnerabilities — 3 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 7,2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 21 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:ag2@0.14.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 21 Paketen. 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.
82
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md, test/AGENTS.md, test/CLAUDE.md, website/AGENTS.md, website/CLAUDE.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md, test/AGENTS.md, test/CLAUDE.md, website/AGENTS.md, website/CLAUDE.md |
| agent_instruction_max_bytes | 14.474 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
AI-Verify-Loop (Build / Test / Typprüfung)
96Exzellent
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — justfile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — ag2/py.typed |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 9/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | justfile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | ag2/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (ag2/py.typed) |
| 54.9/55 | Handhabbare Dateigrößen — 2/900 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 129.052 |
| source_files_sampled | 900 |
| oversized_source_files | 2 |
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | ja |
| api_schema_files | — |
Eckdaten
4.783GitHub-Sterne
100Mitwirkende
672Commits, letzte 12 Monate
1Tage seit letztem Push
76Releases
6Bus-Faktor
9offene Issues
PyPIPaket-Ökosysteme
Weitere Details
Stern- und Fork-Verlauf 4.783 ★ / 0 ⇿
4.783Sterne
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.
Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.
OpenSSF Scorecard 7.2 / 10
7.2Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 29 out of 29 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 5 | Code-Review | Found 13/24 approved changesets -- score normalized to 5 |
| 10 | Contributors | project has 16 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 9 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 9 |
| 8 | SAST | SAST tool is not run on all commits -- score normalized to 8 |
| 10 | Security-Policy | security policy file detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 7 | Vulnerabilities | 3 existing vulnerabilities detected |
Direkte Abhängigkeiten 9
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | termcolor | — | pyproject.toml |
| PyPI | python-dotenv | — | pyproject.toml |
| PyPI | tiktoken | — | pyproject.toml |
| PyPI | pydantic | >=2.6.1,<3 | pyproject.toml |
| PyPI | pyyaml | >=6.0.2 | pyproject.toml |
| PyPI | packaging | — | pyproject.toml |
| PyPI | httpx | >=0.28.1,<1 | pyproject.toml |
| PyPI | anyio | >=4.0.0,<5.0.0 | pyproject.toml |
| PyPI | fast-depends | >=3.0.8,<4.0.0 | pyproject.toml |
Alle Abhängigkeiten 366
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 14 direkte und 352 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | anyio | — | direkt |
| PyPI | anyio | 4.14.1 | direkt |
| PyPI | fast-depends | — | direkt |
| PyPI | fast-depends | 3.0.8 | direkt |
| PyPI | httpx | — | direkt |
| PyPI | httpx | 0.28.1 | direkt |
| PyPI | packaging | 25.0 | direkt |
| PyPI | pydantic | — | direkt |
| PyPI | pydantic | 2.13.4 | direkt |
| PyPI | python-dotenv | 1.2.2 | direkt |
| PyPI | pyyaml | 6.0.3 | direkt |
| PyPI | termcolor | 3.1.0 | direkt |
| PyPI | termcolor | 3.3.0 | direkt |
| PyPI | tiktoken | 0.13.0 | direkt |
| PyPI | a2a-sdk | — | indirekt |
| PyPI | a2a-sdk | 1.1.0 | indirekt |
| PyPI | ag-ui-protocol | — | indirekt |
| PyPI | ag-ui-protocol | 0.1.19 | indirekt |
| PyPI | ag2 | 1.0.0b0 | indirekt |
| PyPI | agent-client-protocol | 0.11.0 | indirekt |
| PyPI | aiofiles | — | indirekt |
| PyPI | aiofiles | 24.1.0 | indirekt |
| PyPI | aiohappyeyeballs | 2.6.2 | indirekt |
| PyPI | aiohttp | 3.14.1 | indirekt |
| PyPI | aiohttp-retry | 2.9.1 | indirekt |
| PyPI | aiologic | 0.17.0 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anthropic | — | indirekt |
| PyPI | anthropic | 0.116.0 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | ast-serialize | 0.5.0 | indirekt |
| PyPI | asttokens | 3.0.1 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | azure-cosmos | — | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | backports-asyncio-runner | 1.2.0 | indirekt |
| PyPI | backrefs | 5.9 | indirekt |
| PyPI | beautifulsoup4 | 4.15.0 | indirekt |
| PyPI | bleach | 6.4.0 | indirekt |
| PyPI | boto3 | — | indirekt |
| PyPI | boto3 | 1.43.40 | indirekt |
| PyPI | botocore | 1.43.46 | indirekt |
| PyPI | brotli | 1.2.0 | indirekt |
| PyPI | brotlicffi | 1.2.0.1 | indirekt |
| PyPI | browser-use | — | indirekt |
| PyPI | cachetools | 7.1.4 | indirekt |
| PyPI | cairocffi | 1.7.1 | indirekt |
| PyPI | cairosvg | 2.9.0 | indirekt |
| PyPI | cerebras-cloud-sdk | — | indirekt |
| PyPI | certifi | 2026.5.20 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | charset-normalizer | 3.4.7 | indirekt |
| PyPI | chromadb | — | indirekt |
| PyPI | click | 8.1.8 | indirekt |
| PyPI | codespell | 2.4.2 | indirekt |
| PyPI | cohere | — | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | couchbase | — | indirekt |
| PyPI | coverage | 7.14.1 | indirekt |
| PyPI | crawl4ai | — | indirekt |
| PyPI | cryptography | 49.0.0 | indirekt |
| PyPI | csscompressor | 0.9.5 | indirekt |
| PyPI | cssselect2 | 0.9.0 | indirekt |
| PyPI | culsans | 0.11.0 | indirekt |
| PyPI | cyclic | 1.0.0 | indirekt |
| PyPI | dashscope | — | indirekt |
| PyPI | dashscope | 1.26.2 | indirekt |
| PyPI | daytona | — | indirekt |
| PyPI | daytona | 0.193.0 | indirekt |
| PyPI | daytona-api-client | 0.193.0 | indirekt |
| PyPI | daytona-api-client-async | 0.193.0 | indirekt |
| PyPI | daytona-toolbox-api-client | 0.193.0 | indirekt |
| PyPI | daytona-toolbox-api-client-async | 0.193.0 | indirekt |
| PyPI | ddgs | — | indirekt |
| PyPI | ddgs | 9.14.4 | indirekt |
| PyPI | debugpy | 1.8.21 | indirekt |
| PyPI | decorator | 5.3.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | deprecated | 1.3.1 | indirekt |
| PyPI | detect-installer | 0.1.0 | indirekt |
| PyPI | detect-secrets | 1.5.0 | indirekt |
| PyPI | dirty-equals | — | indirekt |
| PyPI | dirty-equals | 0.11 | indirekt |
| PyPI | discord-py | — | indirekt |
| PyPI | distro | 1.9.0 | indirekt |
| PyPI | dnspython | 2.8.0 | indirekt |
| PyPI | docker | — | indirekt |
| PyPI | docker | 7.1.0 | indirekt |
| PyPI | docling | — | indirekt |
| PyPI | docstring-parser | 0.18.0 | indirekt |
| PyPI | docx2txt | 0.9 | indirekt |
| PyPI | duckduckgo-search | — | indirekt |
| PyPI | email-validator | 2.3.0 | indirekt |
| PyPI | exa-py | — | indirekt |
| PyPI | exa-py | 2.16.0 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fake-useragent | 2.2.0 | indirekt |
| PyPI | falkordb | — | indirekt |
| PyPI | fastapi | — | indirekt |
| PyPI | fastapi | 0.138.1 | indirekt |
| PyPI | fastapi-cli | 0.0.27 | indirekt |
| PyPI | fastapi-cloud-cli | 0.21.0 | indirekt |
| PyPI | fastapi-code-generator | — | indirekt |
| PyPI | fastar | 0.11.0 | indirekt |
| PyPI | fastembed | — | indirekt |
| PyPI | fastjsonschema | 2.21.2 | indirekt |
| PyPI | fix-busted-json | — | indirekt |
| PyPI | fix-busted-json | 0.0.19 | indirekt |
| PyPI | freezegun | — | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | ghp-import | 2.1.0 | indirekt |
| PyPI | gitdb | 4.0.12 | indirekt |
| PyPI | gitpython | 3.1.50 | indirekt |
| PyPI | google-api-core | 2.31.0 | indirekt |
| PyPI | google-api-python-client | — | indirekt |
| PyPI | google-auth | 2.55.1 | indirekt |
| PyPI | google-auth-httplib2 | — | indirekt |
| PyPI | google-auth-oauthlib | — | indirekt |
| PyPI | google-cloud-aiplatform | 1.159.0 | indirekt |
| PyPI | google-cloud-bigquery | 3.41.0 | indirekt |
| PyPI | google-cloud-core | 2.6.0 | indirekt |
| PyPI | google-cloud-resource-manager | 1.17.0 | indirekt |
| PyPI | google-cloud-storage | 2.19.0 | indirekt |
| PyPI | google-cloud-storage | 3.12.0 | indirekt |
| PyPI | google-crc32c | 1.8.0 | indirekt |
| PyPI | google-genai | — | indirekt |
| PyPI | google-genai | 2.10.0 | indirekt |
| PyPI | google-resumable-media | 2.10.0 | indirekt |
| PyPI | googleapis-common-protos | 1.75.0 | indirekt |
| PyPI | graphrag-sdk | 1.3.0 | indirekt |
| PyPI | groq | — | indirekt |
| PyPI | grpc-google-iam-v1 | 0.14.4 | indirekt |
| PyPI | grpcio | 1.78.0 | indirekt |
| PyPI | grpcio | 1.81.1 | indirekt |
| PyPI | grpcio-status | 1.78.0 | indirekt |
| PyPI | grpcio-status | 1.81.1 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | h2 | 4.3.0 | indirekt |
| PyPI | hjson | 3.1.0 | indirekt |
| PyPI | hpack | 4.1.0 | indirekt |
| PyPI | htmlmin2 | 0.1.13 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httptools | 0.8.0 | indirekt |
| PyPI | httpx-sse | 0.4.3 | indirekt |
| PyPI | httpx-ws | 0.9.0 | indirekt |
| PyPI | hyperframe | 6.1.0 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | ipykernel | 7.3.0 | indirekt |
| PyPI | ipython | 8.39.0 | indirekt |
| PyPI | ipython | 9.14.1 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | jedi | 0.20.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jiter | 0.14.0 | indirekt |
| PyPI | jiter | 0.15.0 | indirekt |
| PyPI | jmespath | 1.1.0 | indirekt |
| PyPI | jsmin | 3.0.1 | indirekt |
| PyPI | json-rpc | 1.15.0 | indirekt |
| PyPI | jsonschema | — | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | jupyter-client | — | indirekt |
| PyPI | jupyter-client | 8.9.1 | indirekt |
| PyPI | jupyter-core | 5.9.1 | indirekt |
| PyPI | jupyterlab-pygments | 0.3.0 | indirekt |
| PyPI | langchain-community | — | indirekt |
| PyPI | langchain-google-vertexai | — | indirekt |
| PyPI | librt | 0.11.0 | indirekt |
| PyPI | llama-index | — | indirekt |
| PyPI | llama-index-core | — | indirekt |
| PyPI | llama-index-embeddings-huggingface | — | indirekt |
| PyPI | llama-index-embeddings-openai | — | indirekt |
| PyPI | llama-index-graph-stores-neo4j | — | indirekt |
| PyPI | llama-index-llms-langchain | — | indirekt |
| PyPI | llama-index-llms-openai | — | indirekt |
| PyPI | llama-index-readers-web | — | indirekt |
| PyPI | llama-index-vector-stores-chroma | — | indirekt |
| PyPI | llama-index-vector-stores-mongodb | — | indirekt |
| PyPI | llmlingua | — | indirekt |
| PyPI | lxml | 5.4.0 | indirekt |
| PyPI | markdown | 3.10.2 | indirekt |
| PyPI | markdown-it-py | 3.0.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib-inline | 0.2.2 | indirekt |
| PyPI | mcp | — | indirekt |
| PyPI | mcp | 1.28.1 | indirekt |
| PyPI | mcp-ui-server | 1.0.0 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mdx-include | 1.4.2 | indirekt |
| PyPI | mergedeep | 1.3.4 | indirekt |
| PyPI | mike | 2.2.0 | indirekt |
| PyPI | mistralai | — | indirekt |
| PyPI | mistune | 3.3.0 | indirekt |
| PyPI | mkdocs | 1.6.1 | indirekt |
| PyPI | mkdocs-get-deps | 0.2.2 | indirekt |
| PyPI | mkdocs-git-revision-date-localized-plugin | 1.5.3 | indirekt |
| PyPI | mkdocs-glightbox | 0.5.2 | indirekt |
| PyPI | mkdocs-literate-nav | 0.6.3 | indirekt |
| PyPI | mkdocs-macros-plugin | 1.5.0 | indirekt |
| PyPI | mkdocs-material | 9.7.6 | indirekt |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirekt |
| PyPI | mkdocs-minify-plugin | 0.8.0 | indirekt |
| PyPI | mkdocs-redirects | 1.2.3 | indirekt |
| PyPI | multidict | 6.7.1 | indirekt |
| PyPI | mypy | 1.17.1 | indirekt |
| PyPI | mypy | 2.1.0 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | nbclient | 0.11.0 | indirekt |
| PyPI | nbconvert | 7.17.1 | indirekt |
| PyPI | nbformat | 5.10.4 | indirekt |
| PyPI | nest-asyncio2 | 1.7.2 | indirekt |
| PyPI | nlip-sdk | — | indirekt |
| PyPI | nlip-sdk | 0.1.3 | indirekt |
| PyPI | nlip-server | — | indirekt |
| PyPI | nlip-server | 0.1.3 | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | obstore | 0.8.2 | indirekt |
| PyPI | ollama | — | indirekt |
| PyPI | ollama | 0.6.2 | indirekt |
| PyPI | openai | — | indirekt |
| PyPI | openai | 2.45.0 | indirekt |
| PyPI | opentelemetry-api | 1.43.0 | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.43.0 | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-grpc | — | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-grpc | 1.43.0 | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.43.0 | indirekt |
| PyPI | opentelemetry-instrumentation | 0.64b0 | indirekt |
| PyPI | opentelemetry-instrumentation-aiohttp-client | 0.64b0 | indirekt |
| PyPI | opentelemetry-proto | 1.43.0 | indirekt |
| PyPI | opentelemetry-sdk | — | indirekt |
| PyPI | opentelemetry-sdk | 1.43.0 | indirekt |
| PyPI | opentelemetry-semantic-conventions | 0.64b0 | indirekt |
| PyPI | opentelemetry-util-http | 0.64b0 | indirekt |
| PyPI | paginate | 0.5.7 | indirekt |
| PyPI | pandas | — | indirekt |
| PyPI | pandocfilters | 1.5.1 | indirekt |
| PyPI | parso | 0.8.7 | indirekt |
| PyPI | pathspec | 1.1.1 | indirekt |
| PyPI | perplexityai | — | indirekt |
| PyPI | perplexityai | 0.39.0 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | pgvector | — | indirekt |
| PyPI | pillow | 12.3.0 | indirekt |
| PyPI | platformdirs | 4.10.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | prek | 0.4.5 | indirekt |
| PyPI | prek | 0.4.8 | indirekt |
| PyPI | primp | 1.3.1 | indirekt |
| PyPI | prometheus-client | 0.25.0 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | propcache | 0.5.2 | indirekt |
| PyPI | properdocs | 1.6.7 | indirekt |
| PyPI | proto-plus | 1.28.0 | indirekt |
| PyPI | protobuf | — | indirekt |
| PyPI | protobuf | 6.33.5 | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | psycopg | — | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | pyasn1 | 0.6.3 | indirekt |
| PyPI | pyasn1-modules | 0.4.2 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic-ai-slim | — | indirekt |
| PyPI | pydantic-core | 2.46.4 | indirekt |
| PyPI | pydantic-extra-types | 2.11.1 | indirekt |
| PyPI | pydantic-settings | 2.14.1 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyjwt | 2.13.0 | indirekt |
| PyPI | pymdown-extensions | 10.21.3 | indirekt |
| PyPI | pymongo | — | indirekt |
| PyPI | pytest | 9.1.0 | indirekt |
| PyPI | pytest | 9.1.1 | indirekt |
| PyPI | pytest-asyncio | 1.4.0 | indirekt |
| PyPI | pytest-cov | 7.1.0 | indirekt |
| PyPI | pytest-timeout | — | indirekt |
| PyPI | pytest-timeout | 2.4.0 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-multipart | 0.0.32 | indirekt |
| PyPI | pywin32 | 312 | indirekt |
| PyPI | pyyaml-env-tag | 1.1 | indirekt |
| PyPI | pyzmq | 27.1.0 | indirekt |
| PyPI | rcslice | 1.1.0 | indirekt |
| PyPI | redis | — | indirekt |
| PyPI | redis | 8.0.1 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | regex | 2026.5.9 | indirekt |
| PyPI | remyxai | — | indirekt |
| PyPI | requests | — | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | respx | — | indirekt |
| PyPI | respx | 0.23.1 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | rich-toolkit | 0.20.1 | indirekt |
| PyPI | rignore | 0.7.6 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | rpds-py | 2026.5.1 | indirekt |
| PyPI | ruff | 0.14.14 | indirekt |
| PyPI | ruff | 0.15.20 | indirekt |
| PyPI | s3transfer | 0.19.0 | indirekt |
| PyPI | selectolax | 0.3.29 | indirekt |
| PyPI | selenium | — | indirekt |
| PyPI | sentence-transformers | — | indirekt |
| PyPI | sentry-sdk | 2.63.0 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | slack-sdk | — | indirekt |
| PyPI | smmap | 5.0.3 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | socksio | 1.0.0 | indirekt |
| PyPI | soupsieve | 2.8.4 | indirekt |
| PyPI | sse-starlette | 3.0.3 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | starlette | — | indirekt |
| PyPI | starlette | 1.3.1 | indirekt |
| PyPI | super-collections | 0.6.2 | indirekt |
| PyPI | tavily-python | — | indirekt |
| PyPI | tavily-python | 0.7.26 | indirekt |
| PyPI | telethon | — | indirekt |
| PyPI | tenacity | 9.1.4 | indirekt |
| PyPI | tinycss2 | 1.5.1 | indirekt |
| PyPI | tinyfish | — | indirekt |
| PyPI | tinyfish | 0.2.6 | indirekt |
| PyPI | together | — | indirekt |
| PyPI | toml | 0.10.2 | indirekt |
| PyPI | tomli | 2.4.1 | indirekt |
| PyPI | tornado | 6.5.7 | indirekt |
| PyPI | tqdm | 4.68.2 | indirekt |
| PyPI | traitlets | 5.15.1 | indirekt |
| PyPI | typer | — | indirekt |
| PyPI | typer | 0.26.8 | indirekt |
| PyPI | types-pyyaml | 6.0.12.20260518 | indirekt |
| PyPI | types-requests | 2.33.0.20260518 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | tzdata | 2026.2 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | uv | 0.11.21 | indirekt |
| PyPI | uv | 0.11.26 | indirekt |
| PyPI | uvicorn | 0.49.0 | indirekt |
| PyPI | uvloop | 0.22.1 | indirekt |
| PyPI | watchdog | — | indirekt |
| PyPI | watchdog | 6.0.0 | indirekt |
| PyPI | watchfiles | 1.2.0 | indirekt |
| PyPI | wcwidth | 0.8.1 | indirekt |
| PyPI | webdriver-manager | 4.1.2 | indirekt |
| PyPI | webencodings | 0.5.1 | indirekt |
| PyPI | websocket-client | 1.9.0 | indirekt |
| PyPI | websockets | — | indirekt |
| PyPI | websockets | 16.0 | indirekt |
| PyPI | wikipedia-api | — | indirekt |
| PyPI | wrapt | 1.17.3 | indirekt |
| PyPI | wsproto | 1.3.2 | indirekt |
| PyPI | xai-sdk | — | indirekt |
| PyPI | xai-sdk | 1.17.0 | indirekt |
| PyPI | yarl | 1.24.2 | indirekt |
| PyPI | yepcode-run | — | indirekt |
| PyPI | zai-sdk | — | indirekt |
| PyPI | zai-sdk | 0.2.3 | indirekt |
| PyPI | zizmor | 1.25.2 | indirekt |
| PyPI | zizmor | 1.26.1 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:ag2@0.14.0 zieht 21 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
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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"detail": "Found 13/24 approved changesets -- score normalized to 5",
"points": 3.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 16 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": "update tool detected",
"points": 7.5,
"status": "met",
"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 14 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 not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 9",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 8",
"points": 4,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"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": "3 existing vulnerabilities detected",
"points": 5.2,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:ag2@0.14.0 runtime dependency closure — what installing the published package pulls in — 21 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:ag2@0.14.0",
"assessed": 21
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 21,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 21,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 8
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "good",
"name": "AI Readiness",
"value": 82,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md",
"test/AGENTS.md",
"test/CLAUDE.md",
"website/AGENTS.md",
"website/CLAUDE.md"
],
"agent_instruction_max_bytes": 14474
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md, test/AGENTS.md, test/CLAUDE.md, website/AGENTS.md, website/CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, test/AGENTS.md, test/CLAUDE.md, website/AGENTS.md, website/CLAUDE.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "excellent",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 96,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"justfile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"ag2/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "justfile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "justfile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "ag2/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "ag2/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 9",
"points": 9,
"status": "partial",
"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": 129052,
"source_files_sampled": 900,
"oversized_source_files": 2
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (ag2/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "ag2/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "2/900 source files over 60KB",
"points": 54.9,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 900,
"oversized": 2
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "moderate",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 60,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": true,
"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": 20,
"status": "met",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-21T03:45:21.669587Z",
"schema_version": "0.17.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/ag2ai/ag2.svg",
"full_name": "ag2ai/ag2",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.17.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.