Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.15.0 · Metriken 1.13.0 · 2026-07-19 15:07 UTC
manhhailua / lorekeep
Lorekeep — temporal knowledge graph for AI agents via MCP
manhhailua/lorekeep erreicht einen Gesundheitsindex von 62 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (82/100) ab, am schwächsten bei Community & Adoption (26/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
62
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.
62
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
Mạnh PhạmPersönliches Konto
41 Follower63 öffentliche Reposseit März 2013
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 |
|---|---|---|---|---|---|
| PyPI | lorekeep | 0.12.1 | - | 37 | vor 0 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
75
Entwicklungsaktivität
58Mittel
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 3.5/36 | Commit-Rhythmus — 5/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 195 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully |
Verwendete Eingangsdaten
| commits_last_year | 195 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 5 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 41 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 0 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 1,9 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 41 |
| latest_release_tag | v0.12.1 |
| releases_from_tags | nein |
| days_since_latest_release | 0 |
| mean_days_between_releases | 1,9 |
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?
26
Popularität & Verbreitung
5Kritisch
Wie die Bewertung erfolgt
| 4.9/60 | Stars — 3 Stars |
| 0/25 | Forks — 0 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 0 |
| stars | 3 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 0/18 | 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 | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
61
Maintainer-Resilienz (Bus-Faktor)
24Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 9.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 57 % der Commits |
| 5.4/13.5 | Breite der Beitragenden — 4 Beitragende |
| 0/10 | OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0,573 |
Wie die Bewertung erfolgt
| 38/46.8 | Issue-Lösungsquote — 81 % der Issues geschlossen |
| 37.6/38.3 | PR-Annahme — 112/114 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 112 |
| open_issues | 3 |
| closed_issues | 13 |
| issue_closed_ratio | 0,812 |
| closed_unmerged_prs | 2 |
Eigentümerschaft & Trägerschaft
58Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 11.7/25 | Reichweite des Inhabers — 41 Follower von manhhailua |
| 25/25 | Kontohistorie — 63 öffentliche Repos, Kontoalter ca. 13 Jahre |
Verwendete Eingangsdaten
| followers | 41 |
| owner_type | User |
| is_verified | — |
| owner_login | manhhailua |
| public_repos | 63 |
| account_age_days | 4.886 |
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 — 37 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | lorekeep |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 0 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
82
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 4 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
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | nein |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
58
Sicherheitslage
58Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 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 |
| 0/7.5 | Code-Review — Found 0/29 approved changesets -- score normalized to 0 |
| 0/2.5 | Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
| 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 |
| 0/7.5 | Maintained — project was created within the last 90 days. Please review its contents carefully |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 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 |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, 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.
54
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md, CLAUDE.md, docs/architecture/agent.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, CLAUDE.md, docs/architecture/agent.md |
| agent_instruction_max_bytes | 14.212 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| 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 |
| 54.5/55 | Handhabbare Dateigrößen — 1/100 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 72.818 |
| source_files_sampled | 100 |
| oversized_source_files | 1 |
Maschinenlesbare AI-Schnittstellen
20Kritisch
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP-Server |
| 0/40 | Lauffähige Beispiele |
Verwendete Eingangsdaten
| example_dirs | — |
| has_mcp_signal | ja |
| api_schema_files | — |
Eckdaten
3GitHub-Sterne
4Mitwirkende
195Commits, letzte 12 Monate
0Tage seit letztem Push
41Releases
1Bus-Faktor
3offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 5.8 / 10
5.8Gesamtwert
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 |
| k. A. | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 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 |
| 0 | Code-Review | Found 0/29 approved changesets -- score normalized to 0 |
| 0 | Contributors | project has 0 contributing companies or organizations -- score normalized to 0 |
| 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 |
| 0 | Maintained | project was created within the last 90 days. Please review its contents carefully |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 9
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | pydantic | >=2.6 | pyproject.toml |
| PyPI | pyyaml | >=6.0 | pyproject.toml |
| PyPI | mistune | >=3.0 | pyproject.toml |
| PyPI | litellm | >=1.40 | pyproject.toml |
| PyPI | typer | >=0.12 | pyproject.toml |
| PyPI | rich | >=13.7 | pyproject.toml |
| PyPI | networkx | >=3.2 | pyproject.toml |
| PyPI | mcp | >=1.0 | pyproject.toml |
| PyPI | platformdirs | >=4.0 | pyproject.toml |
Alle Abhängigkeiten 85
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 9 direkte und 76 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | litellm | 1.88.1 | direkt |
| PyPI | mcp | 1.28.1 | direkt |
| PyPI | mistune | 3.3.3 | direkt |
| PyPI | networkx | 3.6.1 | direkt |
| PyPI | platformdirs | 4.10.0 | direkt |
| PyPI | pydantic | 2.13.4 | direkt |
| PyPI | pyyaml | 6.0.3 | direkt |
| PyPI | rich | 15.0.0 | direkt |
| PyPI | typer | 0.26.7 | direkt |
| PyPI | aiohappyeyeballs | 2.6.2 | indirekt |
| PyPI | aiohttp | 3.14.1 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anyio | 4.13.0 | indirekt |
| PyPI | attrs | 26.1.0 | 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 | colorama | 0.4.6 | indirekt |
| PyPI | coverage | 7.14.1 | indirekt |
| PyPI | cryptography | 49.0.0 | indirekt |
| PyPI | distlib | 0.4.3 | indirekt |
| PyPI | distro | 1.9.0 | indirekt |
| PyPI | fastuuid | 0.14.0 | indirekt |
| PyPI | filelock | 3.29.4 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | fsspec | 2026.4.0 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | hf-xet | 1.5.1 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | httpx-sse | 0.4.3 | indirekt |
| PyPI | huggingface-hub | 1.16.1 | indirekt |
| PyPI | identify | 2.6.19 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | importlib-metadata | 8.9.0 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jiter | 0.15.0 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | lorekeep | 0.12.1 | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | multidict | 6.7.1 | indirekt |
| PyPI | nodeenv | 1.10.0 | indirekt |
| PyPI | openai | 2.41.1 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | pre-commit | 4.6.0 | indirekt |
| PyPI | propcache | 0.5.2 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic-core | 2.46.4 | indirekt |
| PyPI | pydantic-settings | 2.14.2 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyjwt | 2.13.0 | indirekt |
| PyPI | pytest | 9.0.3 | indirekt |
| PyPI | pytest-cov | 7.1.0 | indirekt |
| PyPI | python-discovery | 1.4.2 | indirekt |
| PyPI | python-dotenv | 1.2.2 | indirekt |
| PyPI | python-multipart | 0.0.32 | indirekt |
| PyPI | pywin32 | 312 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | regex | 2026.5.9 | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | rpds-py | 2026.5.1 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | sse-starlette | 3.4.4 | indirekt |
| PyPI | starlette | 1.3.1 | indirekt |
| PyPI | tiktoken | 0.13.0 | indirekt |
| PyPI | tokenizers | 0.23.1 | indirekt |
| PyPI | tomli | 2.4.1 | indirekt |
| PyPI | tqdm | 4.68.2 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | uvicorn | 0.49.0 | indirekt |
| PyPI | virtualenv | 21.5.1 | indirekt |
| PyPI | yarl | 1.24.2 | indirekt |
| PyPI | zipp | 4.1.0 | indirekt |
JSON-Rohbericht maschinenlesbar
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"created_at": "2026-06-16T16:19:28Z",
"owner_type": "User",
"updated_at": "2026-07-19T15:06:49Z",
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"popularity": {
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"stars": 3,
"watchers": 0,
"open_issues_and_prs": 3
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": true,
"bootstrap_files": [],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"largest_source_bytes": 72818,
"source_files_sampled": 100,
"oversized_source_files": 1,
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{
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"code": "license_standard",
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{
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{
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{
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"points": 0,
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{
"key": "issue_template",
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{
"key": "governance",
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"weight": 0.24,
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"key": "maintainer_resilience",
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"inputs": {
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"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
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}
],
"max_points": 54
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{
"key": "commit_distribution",
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"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 57
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}
],
"max_points": 22.5
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{
"key": "contributor_breadth",
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"points": 5.4,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
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"count": 4
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}
],
"max_points": 13.5
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{
"key": "openssf_scorecard_contributors",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
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"note": null,
"notes": [],
"value": 76,
"inputs": {
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"components": [
{
"key": "issue_resolution",
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"points": 38,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 81
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}
],
"max_points": 46.75
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{
"key": "pr_acceptance",
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"points": 37.6,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
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"max_points": 38.25
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{
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"status": "missed",
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]
},
{
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"notes": [
{
"code": "excluded_no_data",
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"components": [
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}
},
{
"code": "weights_renormalized",
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"value": 58,
"inputs": {
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"owner_login": "manhhailua",
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"components": [
{
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"points": 10,
"status": "partial",
"details": [
{
"code": "owner_personal",
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}
],
"max_points": 30
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{
"key": "verified_domain",
"name": "Verified domain",
"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_applicable_to_user_accounts",
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}
],
"max_points": 20
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{
"key": "owner_reach",
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"status": "partial",
"details": [
{
"code": "owner_followers",
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"login": "manhhailua"
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}
],
"max_points": 25
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{
"key": "track_record",
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"detail": "63 public repos, account ~13 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
"params": {
"count": 63
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},
{
"code": "account_age_years",
"params": {
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}
],
"max_points": 25
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]
},
{
"key": "package_maintenance",
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"name": "Package maintenance",
"note": null,
"notes": [],
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"inputs": {
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"ecosystems": "pypi",
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"components": [
{
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"detail": "1 package(s) on pypi",
"points": 25,
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"details": [
{
"code": "packages_published",
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"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
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{
"key": "publish_recency",
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"detail": "latest publish 0 days ago",
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"status": "met",
"details": [
{
"code": "publish_recency",
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}
],
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{
"key": "version_history",
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"points": 20,
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"details": [
{
"code": "published_versions",
"params": {
"count": 37
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"details": [
{
"code": "package_not_deprecated",
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}
],
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]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
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"weight": 0.2,
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{
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"details": [
{
"code": "ci_workflows",
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],
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{
"key": "tests_present",
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{
"key": "linter_config",
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{
"key": "pre_commit_hooks",
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"details": [],
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{
"key": "editorconfig",
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"details": [],
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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"notes": [],
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"inputs": {
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"homepage": null,
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"components": [
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{
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{
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{
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{
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],
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"weight": 0.16,
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"inputs": {
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"components": [
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"status": "met",
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{
"key": "branch_protection",
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{
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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",
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{
"key": "code_review",
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{
"key": "contributors",
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"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
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},
{
"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": "project was created within the last 90 days. Please review its contents carefully",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
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},
{
"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 run on all commits",
"points": 5,
"status": "met",
"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": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"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": {
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"red_flag": false,
"exposures": [],
"policy_countries": [
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"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 2
},
"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",
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}
],
"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": 54,
"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": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 75,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [
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"agent_instruction_max_bytes": 14212
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"components": [
{
"key": "agent_instructions",
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"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md, docs/architecture/agent.md"
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}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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],
"value": 52,
"inputs": {
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"has_tests": true,
"lockfiles": [
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"typecheck_configs": [],
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"toolchain_manifests": [],
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},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
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"points": 0,
"status": "missed",
"details": [],
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},
{
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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 v0.15.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.