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Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-18 12:41 UTC

python-attrs / cattrs

Composable custom class converters for attrs, dataclasses and friends.

PythonMIT★ 1.045 Sterne⑂ 145 Forksseit Aug. 2016Auf GitHub ansehen ↗

python-attrs/cattrs erreicht einen Gesundheitsindex von 76 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (83/100) ab, am schwächsten bei AI Readiness (56/100). Zuletzt vor 6 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

76
gesamt / 100
Gut

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

76
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

The attrs CabalOrganisation
74 Follower2 öffentliche Reposseit Feb. 2017

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIcattrs26.1.0-42vor 149 Tagenattrsdataclassesserialization

Metriken nach Kategorie

Vitalität

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

83Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 6 Tagen
21.5/36Commit-Rhythmus — 31/52 Wochen mit Commits
16.4/18Commit-Volumen — 66 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 18 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year66
human_commit_share
days_since_last_push6
active_weeks_last_year31
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 13 Releases veröffentlicht
27/36Release-Aktualität — letztes Release vor 149 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 90,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count13
latest_release_tagv26.1.0
releases_from_tagsnein
days_since_latest_release149
mean_days_between_releases90,1
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?

83Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
49/60Stars — 1.045 Stars
18/25Forks — 145 Forks
6.7/15Watcher — 17 Watcher
Verwendete Eingangsdaten
forks145
stars1.045
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
7.2/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templateja
has_code_of_conductja
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

66Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
5.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 77 % der Commits
13.5/13.5Breite der Beitragenden — 79 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 29 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled79
top_contributor_share0,77
Wie die Bewertung erfolgt
37.8/46.8Issue-Lösungsquote — 81 % der Issues geschlossen
33.2/38.3PR-Annahme — 300/346 entschiedene PRs gemergt
7.5/15OpenSSF Scorecard: Code-Review — Found 7/13 approved changesets -- score normalized to 5
Verwendete Eingangsdaten
merged_prs300
open_issues78
closed_issues329
issue_closed_ratio0,808
closed_unmerged_prs46
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
13.5/25Reichweite des Inhabers — 74 Follower von python-attrs
15.5/25Kontohistorie — 2 öffentliche Repos, Kontoalter ca. 9 Jahre
Verwendete Eingangsdaten
followers74
owner_typeOrganization
is_verified
owner_loginpython-attrs
public_repos2
account_age_days3.436

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 149 Tagen
20/20Versionshistorie — 42 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagescattrs
ecosystemspypi
any_deprecatednein
min_days_since_publish149

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

77Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 4 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://catt.rs
10/10Repository-Beschreibung
10/10Topics — 3 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsattrs, deserialization, serialization
has_wikinein
homepagehttps://catt.rs
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

73Gut · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 7/13 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 29 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 18 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 17 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7,3
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.

56Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Justfile, docs/Makefile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — src/cattr/py.typed, src/cattrs/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesJustfile, docs/Makefile
has_devcontainernein
has_linter_confignein
typecheck_configssrc/cattr/py.typed, src/cattrs/py.typed
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.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/cattr/py.typed, src/cattrs/py.typed)
55/55Handhabbare Dateigrößen — 0/122 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes56.581
source_files_sampled122
oversized_source_files0

Eckdaten

1.045GitHub-Sterne
79Mitwirkende
66Commits, letzte 12 Monate
6Tage seit letztem Push
13Releases
1Bus-Faktor
78offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 7.3 / 10
7.3Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-18 12:40 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests19 out of 19 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 7/13 approved changesets -- score normalized to 5
10Contributorsproject has 29 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained18 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities17 existing vulnerabilities detected
Direkte Abhängigkeiten 3
RegistryPaketVersionsvorgabeManifest
PyPIattrs>=25.4.0pyproject.toml
PyPItyping-extensions>=4.14.0pyproject.toml
PyPIexceptiongroup>=1.1.1pyproject.toml
Alle Abhängigkeiten 80

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 3 direkte und 77 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIattrs25.4.0direkt
PyPIexceptiongroup1.3.0direkt
PyPItyping-extensions4.14.1direkt
PyPIalabaster1.0.0indirekt
PyPIanyio4.9.0indirekt
PyPIast-serialize0.5.0indirekt
PyPIbabel2.17.0indirekt
PyPIbeautifulsoup44.13.4indirekt
PyPIcbor25.9.0indirekt
PyPIcertifi2025.6.15indirekt
PyPIcharset-normalizer3.4.2indirekt
PyPIclick8.2.1indirekt
PyPIcolorama0.4.6indirekt
PyPIcoverage7.10.0indirekt
PyPIdnspython2.7.0indirekt
PyPIdocutils0.21.2indirekt
PyPIexecnet2.1.1indirekt
PyPIfuro2024.8.6indirekt
PyPIh110.16.0indirekt
PyPIhypothesis6.135.26indirekt
PyPIidna3.10indirekt
PyPIimagesize1.4.1indirekt
PyPIimmutables0.21indirekt
PyPIiniconfig2.1.0indirekt
PyPIjinja23.1.6indirekt
PyPIlibrt0.11.0indirekt
PyPImarkdown-it-py3.0.0indirekt
PyPImarkupsafe3.0.2indirekt
PyPImdit-py-plugins0.4.2indirekt
PyPImdurl0.1.2indirekt
PyPImsgpack1.2.1indirekt
PyPImsgspec0.21.1indirekt
PyPImypy2.1.0indirekt
PyPImypy-extensions1.1.0indirekt
PyPImyst-parser4.0.1indirekt
PyPIorjson3.11.3indirekt
PyPIpackaging25.0indirekt
PyPIpathspec1.1.1indirekt
PyPIpendulum3.1.0indirekt
PyPIpluggy1.6.0indirekt
PyPIpsutil7.0.0indirekt
PyPIpy-cpuinfo9.0.0indirekt
PyPIpygments2.20.0indirekt
PyPIpymongo4.13.2indirekt
PyPIpyperf2.9.0indirekt
PyPIpytest9.0.3indirekt
PyPIpytest-benchmark5.1.0indirekt
PyPIpytest-typing26.3.0indirekt
PyPIpytest-xdist3.8.0indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpyyaml6.0.2indirekt
PyPIrequests2.33.0indirekt
PyPIroman-numerals-py3.1.0indirekt
PyPIruff0.15.6indirekt
PyPIsix1.17.0indirekt
PyPIsniffio1.3.1indirekt
PyPIsnowballstemmer3.0.1indirekt
PyPIsortedcontainers2.4.0indirekt
PyPIsoupsieve2.7indirekt
PyPIsphinx8.1.3indirekt
PyPIsphinx8.2.3indirekt
PyPIsphinx-autobuild2024.10.3indirekt
PyPIsphinx-basic-ng1.0.0b2indirekt
PyPIsphinx-copybutton0.5.2indirekt
PyPIsphinxcontrib-applehelp2.0.0indirekt
PyPIsphinxcontrib-devhelp2.0.0indirekt
PyPIsphinxcontrib-htmlhelp2.1.0indirekt
PyPIsphinxcontrib-jsmath1.0.1indirekt
PyPIsphinxcontrib-qthelp2.0.0indirekt
PyPIsphinxcontrib-serializinghtml2.0.0indirekt
PyPIstarlette0.47.1indirekt
PyPItomli2.2.1indirekt
PyPItomli-w1.2.0indirekt
PyPItomlkit0.13.3indirekt
PyPItzdata2025.2indirekt
PyPIujson5.12.1indirekt
PyPIurllib32.5.0indirekt
PyPIuvicorn0.35.0indirekt
PyPIwatchfiles1.1.0indirekt
PyPIwebsockets15.0.1indirekt
JSON-Rohbericht maschinenlesbar
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                "key": "openssf_scorecard_contributors",
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            "key": "responsiveness",
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              "merged_prs": 300,
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                "key": "issue_resolution",
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                "key": "pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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            "key": "stewardship",
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            "notes": [],
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              "followers": 74,
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              "is_verified": null,
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                "key": "verified_domain",
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                "key": "owner_reach",
                "name": "Owner reach",
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                "key": "track_record",
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              "ecosystems": "pypi",
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                "key": "publish_recency",
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                "key": "not_deprecated",
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        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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                "key": "ci_workflows",
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                "key": "tests_present",
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                "key": "linter_config",
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              {
                "key": "openssf_scorecard_ci_tests",
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        ],
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            "value": 73,
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                "key": "contributors",
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              {
                "key": "dangerous_workflow",
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              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "license",
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                "key": "maintained",
                "name": "Maintained",
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                "key": "packaging",
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "all dependencies are pinned",
                "points": 5,
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              {
                "key": "sast",
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                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
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                "key": "signed_releases",
                "name": "Signed-Releases",
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                "status": "excluded",
                "details": [
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                "max_points": 7.5
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                "key": "token_permissions",
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                "detail": "GitHub workflow tokens follow principle of least privilege",
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                "status": "met",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "17 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "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.",
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
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              "policy_countries": [
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              "review_only_matches": 0,
              "assessed_self_published_locations": 8
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
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                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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            "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": {
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              },
              {
                "code": "weights_renormalized",
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            "value": 1,
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              "has_llms_txt": false,
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              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
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