Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.13.0 · Metriken 1.13.0 · 2026-07-18 14:55 UTC
natefleming / dao-ai
natefleming/dao-ai erreicht einen Gesundheitsindex von 64 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (98/100) ab, am schwächsten bei Security (49/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
64
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.
64
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
Nate FlemingPersönliches Konto
6 Follower57 öffentliche Reposseit Okt. 2012Databricks
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | dao-ai | 0.1.113 | 4.792 | 143 | vor 0 Tagen | agentsaidatabrickslangchainlanggraphllmmulti-agentorchestrationvector-searchworkflow |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
98
Entwicklungsaktivität
96Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 31.8/36 | Commit-Rhythmus — 46/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 1.111 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 1.111 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 46 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 100 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 0 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 1,1 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 100 |
| latest_release_tag | v0.1.113 |
| releases_from_tags | nein |
| days_since_latest_release | 0 |
| mean_days_between_releases | 1,1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
51
Popularität & Verbreitung
27Kritisch
Wie die Bewertung erfolgt
| 18.6/60 | Stars — 15 Stars |
| 8.3/25 | Forks — 11 Forks |
| 0/15 | Watcher — 1 Watcher |
Verwendete Eingangsdaten
| forks | 11 |
| stars | 15 |
| watchers | 1 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | 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 | nein |
Wie die Bewertung erfolgt
| 49.1/80 | Downloads pro Monat — 4.792 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | dao-ai |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 4.792 |
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?
61
Maintainer-Resilienz (Bus-Faktor)
24Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 8.2/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 64 % der Commits |
| 4.1/13.5 | Breite der Beitragenden — 3 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 3 |
| top_contributor_share | 0,637 |
Wie die Bewertung erfolgt
| 46.8/46.8 | Issue-Lösungsquote — 100 % der Issues geschlossen |
| 35.8/38.3 | PR-Annahme — 177/189 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/14 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 177 |
| open_issues | 0 |
| closed_issues | 2 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 12 |
Eigentümerschaft & Trägerschaft
51Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 6.1/25 | Reichweite des Inhabers — 6 Follower von natefleming |
| 24.8/25 | Kontohistorie — 57 öffentliche Repos, Kontoalter ca. 13 Jahre |
Verwendete Eingangsdaten
| followers | 6 |
| owner_type | User |
| is_verified | — |
| owner_login | natefleming |
| public_repos | 57 |
| account_age_days | 5.030 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen |
| 20/20 | Versionshistorie — 143 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | dao-ai |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 0 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
55
Engineering-Praktiken
48Gefährdet
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 0/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | nein |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
49
Sicherheitslage
49Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 0/2.5 | CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/14 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 6.8/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 14 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
69
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — skills/sporting_goods_store/research/AGENTS.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 | skills/sporting_goods_store/research/AGENTS.md |
| agent_instruction_max_bytes | 634 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 10/10 | OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
54Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 53.7/55 | Handhabbare Dateigrößen — 9/377 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 434.391 |
| source_files_sampled | 377 |
| oversized_source_files | 9 |
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
15GitHub-Sterne
3Mitwirkende
1.111Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 4.8 / 10
4.8Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 0 | CI-Tests | 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/14 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 9 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 14 existing vulnerabilities detected |
Direkte Abhängigkeiten 34
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | a2a-sdk | >=0.3.0,<1.0.0 | pyproject.toml |
| PyPI | databricks-agents | >=1.11.0 | pyproject.toml |
| PyPI | databricks-langchain | >=0.20.0 | pyproject.toml |
| PyPI | databricks-mcp | >=0.9.0 | pyproject.toml |
| PyPI | databricks-sdk | >=0.108.0 | pyproject.toml |
| PyPI | databricks-vectorsearch | >=0.67 | pyproject.toml |
| PyPI | ddgs | >=9.10.0 | pyproject.toml |
| PyPI | dspy | >=2.6.27 | pyproject.toml |
| PyPI | flashrank | >=0.2.10 | pyproject.toml |
| PyPI | grandalf | >=0.8 | pyproject.toml |
| PyPI | langchain | >=1.2.12 | pyproject.toml |
| PyPI | langchain-community | >=0.4.1 | pyproject.toml |
| PyPI | langchain-mcp-adapters | >=0.3.0 | pyproject.toml |
| PyPI | langchain-tavily | >=0.2.15 | pyproject.toml |
| PyPI | langgraph-checkpoint-postgres | ==3.0.5 | pyproject.toml |
| PyPI | langgraph | >=1.1.10 | pyproject.toml |
| PyPI | langmem | >=0.0.30 | pyproject.toml |
| PyPI | loguru | >=0.7.3 | pyproject.toml |
| PyPI | mcp | >=1.26.0 | pyproject.toml |
| PyPI | mlflow | >=3.10.1 | pyproject.toml |
| PyPI | nest-asyncio | >=1.6.0 | pyproject.toml |
| PyPI | openpyxl | >=3.1.5 | pyproject.toml |
| PyPI | psycopg | >=3.3.2 | pyproject.toml |
| PyPI | pydantic | >=2.12.5 | pyproject.toml |
| PyPI | python-dotenv | >=1.2.1 | pyproject.toml |
| PyPI | pyyaml | >=6.0.2 | pyproject.toml |
| PyPI | rfc8785 | >=0.1.4 | pyproject.toml |
| PyPI | rich | >=14.2.0 | pyproject.toml |
| PyPI | ruamel.yaml | >=0.18,<0.19 | pyproject.toml |
| PyPI | scipy | >=1.14.0,<1.17 | pyproject.toml |
| PyPI | sqlparse | >=0.5.4 | pyproject.toml |
| PyPI | tomli | >=2.3.0 | pyproject.toml |
| PyPI | unitycatalog-ai | >=0.3.2 | pyproject.toml |
| PyPI | deepagents | >=0.5.7 | pyproject.toml |
Alle Abhängigkeiten 293
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 35 direkte und 258 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | a2a-sdk | 0.3.26 | direkt |
| PyPI | databricks-agents | 1.11.0 | direkt |
| PyPI | databricks-langchain | 0.20.0 | direkt |
| PyPI | databricks-mcp | 0.9.0 | direkt |
| PyPI | databricks-sdk | 0.118.0 | direkt |
| PyPI | databricks-vectorsearch | 0.75 | direkt |
| PyPI | ddgs | 9.14.4 | direkt |
| PyPI | deepagents | 0.6.10 | direkt |
| PyPI | dspy | 2.6.27 | direkt |
| PyPI | dspy | 3.2.1 | direkt |
| PyPI | flashrank | 0.2.10 | direkt |
| PyPI | grandalf | 0.8 | direkt |
| PyPI | langchain | 1.3.9 | direkt |
| PyPI | langchain-community | 0.4.2 | direkt |
| PyPI | langchain-mcp-adapters | 0.3.0 | direkt |
| PyPI | langchain-tavily | 0.2.18 | direkt |
| PyPI | langgraph | 1.2.5 | direkt |
| PyPI | langgraph-checkpoint-postgres | 3.0.5 | direkt |
| PyPI | langmem | 0.0.30 | direkt |
| PyPI | loguru | 0.7.3 | direkt |
| PyPI | mcp | 1.27.2 | direkt |
| PyPI | mlflow | 3.13.0 | direkt |
| PyPI | nest-asyncio | 1.6.0 | direkt |
| PyPI | openpyxl | 3.1.5 | direkt |
| PyPI | psycopg | 3.3.4 | direkt |
| PyPI | pydantic | 2.13.4 | direkt |
| PyPI | python-dotenv | 1.2.2 | direkt |
| PyPI | pyyaml | 6.0.3 | direkt |
| PyPI | rfc8785 | 0.1.4 | direkt |
| PyPI | rich | 15.0.0 | direkt |
| PyPI | ruamel-yaml | 0.18.17 | direkt |
| PyPI | scipy | 1.16.3 | direkt |
| PyPI | sqlparse | 0.5.5 | direkt |
| PyPI | tomli | 2.4.1 | direkt |
| PyPI | unitycatalog-ai | 0.3.2 | direkt |
| PyPI | aiohappyeyeballs | 2.6.2 | indirekt |
| PyPI | aiohttp | 3.14.1 | indirekt |
| PyPI | aiohttp-retry | 2.9.1 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | alembic | 1.18.4 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anthropic | 0.109.2 | indirekt |
| PyPI | anyio | 4.14.0 | indirekt |
| PyPI | ast-serialize | 0.5.0 | indirekt |
| PyPI | asyncer | 0.0.8 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | azure-core | 1.41.0 | indirekt |
| PyPI | azure-storage-blob | 12.30.0 | indirekt |
| PyPI | azure-storage-file-datalake | 12.25.0 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | backoff | 2.2.1 | indirekt |
| PyPI | backrefs | 7.0 | indirekt |
| PyPI | blinker | 1.9.0 | indirekt |
| PyPI | boto3 | 1.43.30 | indirekt |
| PyPI | botocore | 1.43.30 | indirekt |
| PyPI | bracex | 2.6 | indirekt |
| PyPI | brotli | 1.2.0 | indirekt |
| PyPI | brotlicffi | 1.2.0.1 | indirekt |
| PyPI | cachetools | 7.1.4 | indirekt |
| PyPI | certifi | 2026.5.20 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | cfgv | 3.5.0 | indirekt |
| PyPI | charset-normalizer | 3.4.7 | indirekt |
| PyPI | click | 8.4.1 | indirekt |
| PyPI | cloudpickle | 3.1.2 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | colorlog | 6.10.1 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | coverage | 7.14.1 | indirekt |
| PyPI | cryptography | 48.0.1 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | dao-ai | 0.1.114 | indirekt |
| PyPI | databricks-ai-bridge | 0.20.0 | indirekt |
| PyPI | databricks-ai-search | 0.75 | indirekt |
| PyPI | databricks-connect | 16.1.7 | indirekt |
| PyPI | databricks-connect | 17.0.10 | indirekt |
| PyPI | databricks-openai | 0.16.0 | indirekt |
| PyPI | dataclasses-json | 0.6.7 | indirekt |
| PyPI | datasets | 5.0.0 | indirekt |
| PyPI | deprecation | 2.1.0 | indirekt |
| PyPI | dill | 0.4.1 | indirekt |
| PyPI | diskcache | 5.6.3 | indirekt |
| PyPI | distlib | 0.4.3 | indirekt |
| PyPI | distro | 1.9.0 | indirekt |
| PyPI | docker | 7.1.0 | indirekt |
| PyPI | docstring-parser | 0.18.0 | indirekt |
| PyPI | dydantic | 0.0.8 | indirekt |
| PyPI | et-xmlfile | 2.0.0 | indirekt |
| PyPI | execnet | 2.1.2 | indirekt |
| PyPI | fake-useragent | 2.2.0 | indirekt |
| PyPI | fastapi | 0.137.1 | indirekt |
| PyPI | fastuuid | 0.14.0 | indirekt |
| PyPI | filelock | 3.29.4 | indirekt |
| PyPI | filetype | 1.2.0 | indirekt |
| PyPI | flask | 3.1.3 | indirekt |
| PyPI | flask-cors | 6.0.5 | indirekt |
| PyPI | flatbuffers | 25.12.19 | indirekt |
| PyPI | fonttools | 4.63.0 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | fsspec | 2026.4.0 | indirekt |
| PyPI | gepa | 0.0.27 | 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 |
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},
{
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"details": [
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"code": "release_cadence",
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"gap": 1.1
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}
],
"max_points": 27
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{
"key": "openssf_scorecard_signed_releases",
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"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
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}
],
"max_points": 10
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]
},
{
"key": "abandonment",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "unverified",
"guards": [],
"signals": [],
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"multiplier_pct": 100,
"declared_reason": null,
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"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
"days_since_last_human_commit": null,
"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "maintenance record not established from the collected data",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_unverified",
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}
],
"max_points": 100
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]
}
],
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},
{
"key": "community",
"band": "moderate",
"name": "Community & Adoption",
"value": 51,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "critical",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 27,
"inputs": {
"forks": 11,
"stars": 15,
"watchers": 1,
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"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "15 stars",
"points": 18.6,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 15
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "11 forks",
"points": 8.3,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 11
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "1 watchers",
"points": 0,
"status": "missed",
"details": [
{
"code": "watchers",
"params": {
"count": 1
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}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "good",
"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
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"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 61,
"inputs": {
"packages": [
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 4792
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "4,792 downloads/month across pypi",
"points": 49.1,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 4792,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
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},
{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 61,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "critical",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 24,
"inputs": {
"bus_factor": 1,
"contributors_sampled": 3,
"top_contributor_share": 0.637
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"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "1 contributor(s) cover half of all commits",
"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 64% of commits",
"points": 8.2,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 64
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "3 contributors",
"points": 4.1,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 3
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 3,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 83,
"inputs": {
"merged_prs": 177,
"open_issues": 0,
"closed_issues": 2,
"issue_closed_ratio": 1,
"closed_unmerged_prs": 12
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"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "100% of issues closed",
"points": 46.8,
"status": "met",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 100
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "177/189 decided PRs merged",
"points": 35.8,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 177,
"decided": 189
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}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 0/14 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
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"name": "Ownership & stewardship",
"note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 51,
"inputs": {
"followers": 6,
"owner_type": "User",
"is_verified": null,
"owner_login": "natefleming",
"public_repos": 57,
"account_age_days": 5030
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"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "personal (user) account",
"points": 10,
"status": "partial",
"details": [
{
"code": "owner_personal",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_applicable_to_user_accounts",
"params": {}
}
],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "6 followers of natefleming",
"points": 6.1,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 6,
"login": "natefleming"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "57 public repos, account ~13 yr old",
"points": 24.8,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 57
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},
{
"code": "account_age_years",
"params": {
"years": 13
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}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"dao-ai"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 0
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"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 0 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 0
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "143 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 143
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
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"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "moderate",
"name": "Engineering Quality",
"value": 55,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "at_risk",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 48,
"inputs": {
"has_ci": true,
"has_tests": true,
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"has_linter_config": false,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "1 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 1
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
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{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "0 out of 11 merged PRs checked by a CI test -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "moderate",
"name": "Documentation",
"note": null,
"notes": [],
"value": 65,
"inputs": {
"topics": [],
"has_wiki": true,
"homepage": null,
"has_readme": true,
"has_docs_dir": true,
"has_description": false
},
"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
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{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
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},
{
"key": "security",
"band": "at_risk",
"name": "Security",
"value": 49,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
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"note": "Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"signed_releases"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 49,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 17,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 1,
"scorecard_aggregate": 4.8
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"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": 2.2,
"status": "partial",
"details": [],
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},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "0 out of 11 merged PRs checked by a CI test -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
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{
"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 0/14 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"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 1 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": "all dependencies are pinned",
"points": 5,
"status": "met",
"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
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 6.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "14 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 3
},
"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": "moderate",
"name": "AI Readiness",
"value": 69,
"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": [
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
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"agent_instruction_max_bytes": 634
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "skills/sporting_goods_store/research/AGENTS.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "skills/sporting_goods_store/research/AGENTS.md"
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}
],
"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",
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
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}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 v0.13.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.