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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-25 22:39 UTC

DougTrajano / pydantic-ai-skills

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

PythonMIT★ 347 Sterne⑂ 28 Forksseit Dez. 2025Auf GitHub ansehen ↗

DougTrajano/pydantic-ai-skills erreicht einen Gesundheitsindex von 72 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (96/100) ab, am schwächsten bei Security (38/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

72
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.

72
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

Douglas TrajanoPersönliches Konto
54 Follower40 öffentliche Reposseit Sept. 2014ADP

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIpydantic-ai-skills1.3.03.462.97020vor 0 Tagen

Metriken nach Kategorie

Vitalität

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

89Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
16.6/36Commit-Rhythmus — 24/52 Wochen mit Commits
18/18Commit-Volumen — 196 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year196
human_commit_share0,86
days_since_last_push0
active_weeks_last_year24

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 20 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 11,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count20
latest_release_tag1.3.0
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases11,6
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?

72Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
41.2/60Stars — 347 Stars
11.9/25Forks — 28 Forks
1.7/15Watcher — 3 Watcher
Verwendete Eingangsdaten
forks28
stars347
watchers3
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
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein
Wie die Bewertung erfolgt
80/80Downloads pro Monat — 3.462.970 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagespydantic-ai-skills
dependents
ecosystemspypi
total_downloads
monthly_downloads3.462.970
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?

60Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 99 % der Commits
4.1/13.5Breite der Beitragenden — 3 Beitragende
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Verwendete Eingangsdaten
bus_factor1
contributors_sampled3
top_contributor_share0,989
Wie die Bewertung erfolgt
46.8/46.8Issue-Lösungsquote — 100 % der Issues geschlossen
37.2/38.3PR-Annahme — 35/36 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/11 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs35
open_issues0
closed_issues20
issue_closed_ratio1
closed_unmerged_prs1
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
12.5/25Reichweite des Inhabers — 54 Follower von DougTrajano
23.7/25Kontohistorie — 40 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers54
owner_typeUser
is_verified
owner_loginDougTrajano
public_repos40
account_age_days4.337
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

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

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

96Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 4 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://dougtrajano.github.io/pydantic-ai-skills/
10/10Repository-Beschreibung
10/10Topics — 7 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsagent-skills, agentic-ai, ai-agents, claude-code, pydantic-ai, agent-framework, python
has_wikija
homepagehttps://dougtrajano.github.io/pydantic-ai-skills/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

38Gefährdet · 16 % des Gesamtindex

Sicherheitslage

38Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 8 out of 8 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
0/7.5Code-Review — Found 0/11 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — 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 — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 40 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3,8
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.

73Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md, CLAUDE.md, examples/skills/pydanticai-docs/references/AGENT.md
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 66 von 86 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,767
agent_instruction_filesAGENTS.md, CLAUDE.md, examples/skills/pydanticai-docs/references/AGENT.md
agent_instruction_max_bytes5.938
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — pydantic_ai_skills/py.typed
10/10Reproduzierbare Umgebung — lockfile
10/10Belegte Agentenpraxis — 34 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
8/8Automatisierte Wartung — 4 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configspydantic_ai_skills/py.typed
agent_commit_share0,34
toolchain_manifests
dependency_bot_commit_share0,04
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (pydantic_ai_skills/py.typed)
55/55Handhabbare Dateigrößen — 0/42 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes49.654
source_files_sampled42
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

347GitHub-Sterne
3Mitwirkende
196Commits, letzte 12 Monate
0Tage seit letztem Push
20Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:pydantic-ai-skills@1.3.0; advisories assessed against the repository dependency graph instead

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 28 ⇿
0Sterne
28Forks
16Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

0510152025302822025-122026-042026-07
Major 1Minor 12Patch 3
OpenSSF Scorecard 3.8 / 10
3.8Gesamtwert

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).Scorecard v5.5.0 · 2026-07-25 22:39 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/11 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
4Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities40 existing vulnerabilities detected
Direkte Abhängigkeiten 3
RegistryPaketVersionsvorgabeManifest
PyPIanyio>=4.0.0pyproject.toml
PyPIpydantic-ai-slim>=1.105pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

JSON-Rohbericht maschinenlesbar
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          "is_bot": false,
          "headline": "Extract _init_selection to reduce __init__ cognitive complexity",
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          "is_bot": false,
          "headline": "Add include/exclude skill selection; fix strict docs build",
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          "headline": "Merge pull request #60 from DougTrajano/dependabot/pip/arxiv-gte-3.0.…",
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          "headline": "Merge branch 'main' into dependabot/pip/arxiv-gte-3.0.0-and-lt-5.0.0",
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          "is_bot": false,
          "headline": "Merge pull request #59 from DougTrajano/dependabot/pip/ruff-gte-0.15.…",
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          "is_bot": false,
          "headline": "Merge pull request #58 from DougTrajano/dependabot/pip/datasets-gte-4…",
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          "is_bot": false,
          "headline": "Merge pull request #57 from DougTrajano/dependabot/pip/uvicorn-gte-0.…",
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          "body": "Updates the requirements on [arxiv](https://github.com/lukasschwab/arxiv.py) to permit the latest version.\n- [Release notes](https://github.com/lukasschwab/arxiv.py/releases)\n- [Commits](https://github.com/lukasschwab/arxiv.py/compare/3.0.0...4.0.0)\n\n---\nupdated-dependencies:\n- dependency-name: arxiv\n  dependency-version: 4.0.0\n  dependency-type: direct:development\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>",
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          "headline": "build(deps-dev): update arxiv requirement",
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          "body": "Updates the requirements on [ruff](https://github.com/astral-sh/ruff) to permit the latest version.\n- [Release notes](https://github.com/astral-sh/ruff/releases)\n- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/astral-sh/ruff/compare/0.15.0...0.16.0)\n\n---\nupdated-dependencies:\n- dependency-name: ruff\n  dependency-version: 0.16.0\n  dependency-type: direct:development\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>",
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          "body": "Updates the requirements on [datasets](https://github.com/huggingface/datasets) to permit the latest version.\n- [Release notes](https://github.com/huggingface/datasets/releases)\n- [Commits](https://github.com/huggingface/datasets/compare/4.8.0...5.0.0)\n\n---\nupdated-dependencies:\n- dependency-name: datasets\n  dependency-version: 5.0.0\n  dependency-type: direct:development\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>",
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          "headline": "build(deps-dev): update datasets requirement",
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          "body": "Updates the requirements on [uvicorn](https://github.com/Kludex/uvicorn) to permit the latest version.\n- [Release notes](https://github.com/Kludex/uvicorn/releases)\n- [Changelog](https://github.com/Kludex/uvicorn/blob/main/docs/release-notes.md)\n- [Commits](https://github.com/Kludex/uvicorn/compare/0.46.0...0.51.0)\n\n---\nupdated-dependencies:\n- dependency-name: uvicorn\n  dependency-version: 0.51.0\n  dependency-type: direct:development\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>",
          "is_bot": true,
          "headline": "build(deps-dev): update uvicorn requirement",
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          "body": "Add example with Pydantic AI Gateway/Logfire and Ollama Cloud Models",
          "is_bot": false,
          "headline": "Merge pull request #56 from DougTrajano/add-pydantic-ai-ollama-example",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
          "committed_at": "2026-07-22T02:04:05Z",
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          "is_bot": false,
          "headline": "small change",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
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          "is_bot": false,
          "headline": "PR marker",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
          "committed_at": "2026-07-22T00:09:35Z",
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          "oid": "44e227a06e6d8d1adf184ac94f58f934b96e5e1f",
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          "is_bot": false,
          "headline": "Add pydantic_ai_ollama example and update project metadata",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
          "committed_at": "2026-07-22T00:08:32Z",
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          "headline": "chore: bump version to 1.2.0",
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          "oid": "79de88b5ebbcb106b94392035adc65ee8f367ac2",
          "body": "…ext-files\n\nfeat: discover all readable text files as skill resources (#54)",
          "is_bot": false,
          "headline": "Merge pull request #55 from DougTrajano/feat/resource-discovery-all-t…",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
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          "oid": "e9c8dd293c4eec4ae3c3888bac0953073e829336",
          "body": "Each exception test constructed Mock() inside the pytest.raises block,\ngiving it two invocations that could throw. Assign ctx = Mock() before the\nblock so only the awaited call remains inside, satisfying python:S5778.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test: hoist Mock() out of pytest.raises blocks (Sonar S5778)",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
          "committed_at": "2026-07-15T02:32:56Z",
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          "headline": "small change",
          "author_name": "Douglas Trajano",
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        {
          "oid": "9c5f511fe7eccc1e5684e77bfbeb4bd174ead9d0",
          "body": "Resource discovery previously used a hardcoded extension allowlist\n(.md/.json/.yaml/.yml/.csv/.xml/.txt) with no way to extend it, so common\ntext assets a skill ships (.sql, .toml, .jinja, ...) were silently invisible\neven when SKILL.md referenced them (issue #54).\n\nReplace the allowlist with allow-\n[…]\n Skill.from_file,\n  SkillsToolset, and SkillsCapability (+ from_spec).\n\nThis is a behavior change: skills may now expose more files by default.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: discover all readable text files as skill resources",
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          "headline": "bump version",
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          "body": "This reverts commit acf2dbfc579f4d7bbd9fcdc78bbe1edd52d72210.",
          "is_bot": false,
          "headline": "Revert \"chore: bump version to 1.1.0\"",
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        {
          "oid": "25c1940d65b2d2ef5892e5617060e5d2444df3d7",
          "body": "…skillscapability\n\nfeat: support agent specs for SkillsCapability",
          "is_bot": false,
          "headline": "Merge pull request #53 from DougTrajano/DEV-1216-support-agent-specs-…",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
          "committed_at": "2026-06-27T18:26:40Z",
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          "oid": "bb02055e5cdfd8fe27a411ccf313c7b88d81ab78",
          "body": "- Use dataclasses.is_dataclass() instead of the brittle __dataclass_fields__\n  attribute check.\n- Assert the loaded agent actually exposes a SkillsCapability with its\n  toolset, matching the test's docstring.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test: address PR review on agent-spec tests [DEV-1216]",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
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          "body": "SkillsCapability extended AbstractCapability but could not be used in\ndeclarative agent specs (Agent.from_spec / Agent.from_file with\ncustom_capability_types). The pydantic-ai spec loader rejects any custom\ncapability type that is not a @dataclass, so registry construction failed\nbefore serializatio\n[…]\ndd spec-support tests (registry build, from_spec round-trip, full\n  Agent.from_spec load, schema generation) and an \"Agent specs\" docs section.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: support agent specs for SkillsCapability [DEV-1216]",
          "author_name": "Douglas Trajano",
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          "headline": "chore: bump version to 1.0.0",
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          "oid": "86e401155aea1475da19bb3666c9252254980b0c",
          "body": "…-capabilities\n\nfeat: adopt Pydantic AI v2 capabilities API [DEV-1215]",
          "is_bot": false,
          "headline": "Merge pull request #52 from DougTrajano/DEV-1215-adopt-pydantic-ai-v2…",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
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          "oid": "c9f95c2a4652cdcb5a0e7be0214cf00be78a4b03",
          "body": "Addresses Copilot review on PR #52: the SkillResource example used\ncontent=None and the SkillScript example omitted function/uri, both of\nwhich fail __post_init__ validation. Use a content-based resource and a\nfile-based (uri) script so the snippets run as written.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: fix invalid SkillResource/SkillScript examples",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
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          "body": "- Add defer_loading/id/description to SkillsCapability, validate id when\n  deferred, and summarize skills via get_description()\n- Replace private pydantic_ai._run_context.RunContext with public\n  pydantic_ai.RunContext; add compat smoke test for remaining internals\n- Fix non-existent pydantic_ai.too\n[…]\n source docstrings and docs\n- Raise dependency floor to pydantic-ai-slim>=1.105\n- Test CI matrix against pydantic-ai 1.105.0, 2.0.0, and latest\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: adopt Pydantic AI v2 capabilities API [DEV-1215]",
          "author_name": "Douglas Trajano",
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          "body": "docs: add guide for hooks around skill loading",
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          "headline": "Merge pull request #50 from DougTrajano/DEV-1212",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
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          "oid": "5bc0d21164c4bed96a979de9e1e1c1e84c00feb3",
          "body": "Document how to intercept skill loading (before/after) using Pydantic AI's\ntool-execution hooks. Skill loading is a regular `load_skill` tool call, so\nthe standard `before_tool_execute` / `after_tool_execute` hooks fire around\nit when filtered with `tools=['load_skill']`.\n\nCovers SkillsCapability an\n[…]\ncking loads via\nSkipToolExecution, rewriting loaded instructions, and the full tool-execution\nhook family. Adds the page to the User Guide nav.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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          "headline": "docs: add guide for hooks around skill loading",
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          "headline": "chore: bump version to 0.11.0",
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        {
          "oid": "09c1debfa711fdcda36dbe82626c288a18aaa155",
          "body": "feat: add S3SkillsRegistry for S3 and S3-compatible storage (DEV-1208)",
          "is_bot": false,
          "headline": "Merge pull request #48 from DougTrajano/DEV-1208-s3-skills-registry",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
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          "body": "coverage.xml recorded an absolute <source> (the package dir) with filenames\nrelative to it (e.g. registries/s3.py), so SonarCloud could not map coverage\nonto the indexed sources and reported 0% on new code. Set relative_files=true\nso paths resolve as pydantic_ai_skills/registries/s3.py from the repo root.\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: emit repo-root-relative coverage paths for SonarCloud",
          "author_name": "Douglas Trajano",
          "author_login": "DougTrajano",
          "committed_at": "2026-05-26T01:30:05Z",
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          "oid": "9f49fa3e625a4d7e8d0eb4142b5757aff1db88b8",
          "body": "Code review (Copilot) fixes on S3SkillsRegistry:\n- _sync now mirrors the remote prefix (clears the cached subtree first), so\n  skills removed from the bucket no longer linger locally\n- list S3 objects once per sync and compute per-skill version from the cached\n  listing instead of re-listing per ski\n[…]\nran with no report. Checkout first, then download\nartifacts into the workspace.\n\nAdd tests for stale-cache mirroring and client error wrapping.\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
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          "headline": "refactor: address S3 registry review and fix Sonar coverage pipeline",
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          "body": "- combined.py: use synchronous get_skills() membership check instead of\n  catching KeyError, so unrelated KeyErrors from a child registry's\n  internal logic are no longer swallowed.\n- local.py: stop wrapping OSError when reading file-based resources —\n  the original subclass (FileNotFoundError, Perm\n[…]\nall import statements to use\n  pydantic_ai_skills (the actual public package) instead of the\n  non-existent pydantic_ai.toolsets.skills module.\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
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                "details": [
                  {
                    "code": "commit_cadence_weeks",
                    "params": {
                      "weeks": 24
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                  }
                ],
                "max_points": 36
              },
              {
                "key": "commit_volume",
                "name": "Commit volume",
                "detail": "196 commits in the last year",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "commits_last_year",
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                      "count": 196
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                "max_points": 18
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              {
                "key": "openssf_scorecard_maintained",
                "name": "OpenSSF Scorecard: Maintained",
                "detail": "30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10",
                "points": 10,
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                "details": [],
                "max_points": 10
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            ]
          },
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            "notes": [
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                "code": "excluded_no_data",
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                  "components": [
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                "params": {}
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            "value": 100,
            "inputs": {
              "releases_count": 20,
              "latest_release_tag": "1.3.0",
              "releases_from_tags": false,
              "days_since_latest_release": 0,
              "mean_days_between_releases": 11.6
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            "components": [
              {
                "key": "ships_releases",
                "name": "Ships releases",
                "detail": "20 releases published",
                "points": 27,
                "status": "met",
                "details": [
                  {
                    "code": "releases_published",
                    "params": {
                      "count": 20
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                  }
                ],
                "max_points": 27
              },
              {
                "key": "release_recency",
                "name": "Release recency",
                "detail": "latest release 0 days ago",
                "points": 36,
                "status": "met",
                "details": [
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                    "code": "release_recency",
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                "max_points": 36
              },
              {
                "key": "release_cadence",
                "name": "Release cadence",
                "detail": "a release every ~11.6 days",
                "points": 27,
                "status": "met",
                "details": [
                  {
                    "code": "release_cadence",
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                      "gap": 11.6
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                ],
                "max_points": 27
              },
              {
                "key": "openssf_scorecard_signed_releases",
                "name": "OpenSSF Scorecard: Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
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                ],
                "max_points": 10
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            ]
          },
          {
            "key": "abandonment",
            "band": "excellent",
            "name": "Abandonment",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "cap": null,
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                "max_points": 100
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        ],
        "description": "Is the project alive — is code being written and are releases shipping?"
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      {
        "key": "community",
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        "weight": 0.18,
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            "note": null,
            "notes": [],
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              "forks": 28,
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              "growth_state": "unverified",
              "growth_factor_pct": 100,
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            "components": [
              {
                "key": "stars",
                "name": "Stars",
                "detail": "347 stars",
                "points": 41.2,
                "status": "partial",
                "details": [
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                    "code": "stars",
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                      "count": 347
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                  }
                ],
                "max_points": 60
              },
              {
                "key": "forks",
                "name": "Forks",
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                "points": 11.9,
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                "details": [
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                    "code": "forks",
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                ],
                "max_points": 25
              },
              {
                "key": "watchers",
                "name": "Watchers",
                "detail": "3 watchers",
                "points": 1.7,
                "status": "partial",
                "details": [
                  {
                    "code": "watchers",
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                ],
                "max_points": 15
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            ]
          },
          {
            "key": "community_health",
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            "name": "Community health",
            "note": null,
            "notes": [],
            "value": 70,
            "inputs": {
              "has_readme": true,
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              "has_contributing": true,
              "has_issue_template": false,
              "has_code_of_conduct": false,
              "has_pull_request_template": false
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            "components": [
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                "key": "readme",
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                "detail": null,
                "points": 22.5,
                "status": "met",
                "details": [],
                "max_points": 22.5
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              {
                "key": "license",
                "name": "License",
                "detail": "recognized license (MIT)",
                "points": 22.5,
                "status": "met",
                "details": [
                  {
                    "code": "license_standard",
                    "params": {}
                  },
                  {
                    "code": "license_spdx",
                    "params": {
                      "spdx": "MIT"
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                  }
                ],
                "max_points": 22.5
              },
              {
                "key": "contributing_guide",
                "name": "CONTRIBUTING guide",
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                "points": 18,
                "status": "met",
                "details": [],
                "max_points": 18
              },
              {
                "key": "code_of_conduct",
                "name": "Code of conduct",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "issue_template",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.2
              },
              {
                "key": "pr_template",
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                "max_points": 6.3
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            ]
          },
          {
            "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": [
                    "registry_dependents"
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 100,
            "inputs": {
              "packages": [
                "pydantic-ai-skills"
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              "dependents": null,
              "ecosystems": "pypi",
              "total_downloads": null,
              "monthly_downloads": 3462970
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            "components": [
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                "key": "monthly_downloads",
                "name": "Monthly downloads",
                "detail": "3,462,970 downloads/month across pypi",
                "points": 80,
                "status": "met",
                "details": [
                  {
                    "code": "downloads_monthly",
                    "params": {
                      "count": 3462970,
                      "ecosystems": "pypi"
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                  }
                ],
                "max_points": 80
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              {
                "key": "registry_dependents",
                "name": "Registry dependents",
                "detail": "not reported by this ecosystem",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_reported_by_this_ecosystem",
                    "params": {}
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                ],
                "max_points": 20
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            ]
          }
        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
      },
      {
        "key": "governance",
        "band": "moderate",
        "name": "Sustainability & Governance",
        "value": 60,
        "weight": 0.24,
        "metrics": [
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            "key": "maintainer_resilience",
            "band": "critical",
            "name": "Maintainer resilience (bus factor)",
            "note": null,
            "notes": [],
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            "inputs": {
              "bus_factor": 1,
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              "top_contributor_share": 0.989
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            "components": [
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                "key": "bus_factor",
                "name": "Bus factor",
                "detail": "1 contributor(s) cover half of all commits",
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                "status": "partial",
                "details": [
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                    "code": "bus_factor",
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                "max_points": 54
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              {
                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 99% of commits",
                "points": 0.2,
                "status": "partial",
                "details": [
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                    "code": "top_contributor_share",
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                ],
                "max_points": 22.5
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              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
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                "points": 4.1,
                "status": "partial",
                "details": [
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                    "code": "contributors_sampled",
                    "params": {
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                ],
                "max_points": 13.5
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              {
                "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
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            ]
          },
          {
            "key": "responsiveness",
            "band": "good",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 84,
            "inputs": {
              "merged_prs": 35,
              "open_issues": 0,
              "closed_issues": 20,
              "issue_closed_ratio": 1,
              "closed_unmerged_prs": 1
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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
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                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "35/36 decided PRs merged",
                "points": 37.2,
                "status": "partial",
                "details": [
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                    "code": "decided_prs_merged",
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                ],
                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/11 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
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            ]
          },
          {
            "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",
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            "value": 58,
            "inputs": {
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              "is_verified": null,
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              "account_age_days": 4337
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            "components": [
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                "key": "ownership_backing",
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                "detail": "personal (user) account",
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                "status": "partial",
                "details": [
                  {
                    "code": "owner_personal",
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                ],
                "max_points": 30
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              {
                "key": "verified_domain",
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                "points": 0,
                "status": "excluded",
                "details": [
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                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "54 followers of DougTrajano",
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                    "code": "owner_followers",
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                "max_points": 25
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                "key": "track_record",
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                "status": "partial",
                "details": [
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                    "code": "public_repos",
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                  {
                    "code": "account_age_years",
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                "max_points": 25
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            "key": "package_maintenance",
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            "note": null,
            "notes": [],
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            "inputs": {
              "packages": [
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              "ecosystems": "pypi",
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            "components": [
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                "key": "published_resolvable",
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                "max_points": 25
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                "max_points": 35
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                "key": "version_history",
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                "points": 20,
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                ],
                "max_points": 20
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              {
                "key": "not_deprecated",
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                "detail": "active, not deprecated or yanked",
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                "max_points": 20
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          }
        ],
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        "metrics": [
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                "points": 24,
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                "key": "openssf_scorecard_ci_tests",
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            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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            "components": [
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                "key": "readme",
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              },
              {
                "key": "documentation_directory",
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        ],
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        "metrics": [
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            "value": 38,
            "inputs": {
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                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
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                "key": "code_review",
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              {
                "key": "contributors",
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                "key": "dangerous_workflow",
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