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Software-GesundheitsberichtSchema 0.13.0 · Metriken 1.13.0 · 2026-07-18 14:59 UTC

angr / angr-management

The official angr GUI.

PythonBSD-2-Clause★ 1.157 Sterne⑂ 130 Forksseit Aug. 2015Auf GitHub ansehen ↗

angr/angr-management erreicht einen Gesundheitsindex von 78 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei AI Readiness (42/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.

78
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.

78
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

angrOrganisation
525 Follower55 öffentliche Reposseit Mai 2015

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIangr-management9.3.0-318vor 3 Tagen

Metriken nach Kategorie

Vitalität

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

96Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
36/36Commit-Rhythmus — 52/52 Wochen mit Commits
18/18Commit-Volumen — 399 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year399
human_commit_share
days_since_last_push0
active_weeks_last_year52
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 65 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 7,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count65
latest_release_tagnightly
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases7,4

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

63Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
49.7/60Stars — 1.157 Stars
17.6/25Forks — 130 Forks
8/15Watcher — 28 Watcher
Verwendete Eingangsdaten
forks130
stars1.157
watchers28
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-2-Clause)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

79Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
36/54Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab
16/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 29 % der Commits
13.5/13.5Breite der Beitragenden — 56 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 37 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor3
contributors_sampled56
top_contributor_share0,287
Wie die Bewertung erfolgt
26.3/46.8Issue-Lösungsquote — 56 % der Issues geschlossen
37.2/38.3PR-Annahme — 1.127/1.159 entschiedene PRs gemergt
6/15OpenSSF Scorecard: Code-Review — Found 11/23 approved changesets -- score normalized to 4
Verwendete Eingangsdaten
merged_prs1.127
open_issues230
closed_issues295
issue_closed_ratio0,562
closed_unmerged_prs32
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
19.6/25Reichweite des Inhabers — 525 Follower von angr
24.7/25Kontohistorie — 55 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers525
owner_typeOrganization
is_verified
owner_loginangr
public_repos55
account_age_days4.077

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 3 Tagen
20/20Versionshistorie — 318 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesangr-management
ecosystemspypi
any_deprecatednein
min_days_since_publish3

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 6 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 16 out of 23 merged PRs checked by a CI test -- score normalized to 6
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://docs.angr.io/projects/angr-management/en/latest/
10/10Repository-Beschreibung
10/10Topics — 3 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsangr, hacktoberfest, program-analysis
has_wikija
homepagehttps://docs.angr.io/projects/angr-management/en/latest/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

48Gefährdet · 16 % des Gesamtindex

Sicherheitslage

48Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
1.5/2.5CI-Tests — 16 out of 23 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 11/23 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 37 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging. 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.

42Gefährdet · 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 — docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_filesdocs/Makefile
has_devcontainernein
has_linter_configja
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.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
54.6/55Handhabbare Dateigrößen — 2/309 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes117.835
source_files_sampled309
oversized_source_files2

Eckdaten

1.157GitHub-Sterne
56Mitwirkende
399Commits, letzte 12 Monate
0Tage seit letztem Push
65Releases
3Bus-Faktor
230offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 4.8 / 10
4.8Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-18 14:59 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-Protectioninternal 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
6CI-Tests16 out of 23 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 11/23 approved changesets -- score normalized to 4
10Contributorsproject has 37 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 16
RegistryPaketVersionsvorgabeManifest
PyPIPySide6-Essentials>=6.4.2,!=6.7.0pyproject.toml
PyPIPySide6-QtAds>=4.2.1pyproject.toml
PyPIQtAwesome==1.4.0pyproject.toml
PyPIQtPypyproject.toml
PyPIangr==9.3.1.dev0pyproject.toml
PyPIbidictpyproject.toml
PyPIcle==9.3.1.dev0pyproject.toml
PyPIipythonpyproject.toml
PyPIpyqodeng>=0.0.10pyproject.toml
PyPIrequestspyproject.toml
PyPItomlkitpyproject.toml
PyPIpyobjc-framework-Cocoapyproject.toml
PyPIthefuzzpyproject.toml
PyPIbinsync==5.7.11pyproject.toml
PyPIrpycpyproject.toml
PyPIqtconsolepyproject.toml
Alle Abhängigkeiten 23

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 17 direkte und 6 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIangrdirekt
PyPIangr9.3.1.dev0direkt
PyPIbidictdirekt
PyPIbinsync5.7.11direkt
PyPIcle9.3.1.dev0direkt
PyPIipythondirekt
PyPIpyobjc-framework-cocoadirekt
PyPIpyqodengdirekt
PyPIpyside6-essentialsdirekt
PyPIpyside6-qtadsdirekt
PyPIqtawesome1.4.0direkt
PyPIqtconsoledirekt
PyPIqtpydirekt
PyPIrequestsdirekt
PyPIrpycdirekt
PyPIthefuzzdirekt
PyPItomlkitdirekt
PyPIfuroindirekt
PyPImyst-parserindirekt
PyPIpyinstallerindirekt
PyPIsetuptoolsindirekt
PyPIsphinxindirekt
PyPIsphinx-autodoc-typehintsindirekt
JSON-Rohbericht maschinenlesbar
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        {
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        {
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          "login": "angr-bot",
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          "avatar_url": "https://avatars.githubusercontent.com/u/71295488?v=4"
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          "type": "Bot",
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        {
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                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "525 followers of angr",
                "points": 19.6,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 525,
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                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "55 public repos, account ~11 yr old",
                "points": 24.7,
                "status": "partial",
                "details": [
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                    "code": "account_age_years",
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                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
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              "ecosystems": "pypi",
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              {
                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
                "points": 25,
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                "max_points": 25
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                "key": "publish_recency",
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                "points": 35,
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                "max_points": 35
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              {
                "key": "version_history",
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                "detail": "318 published versions",
                "points": 20,
                "status": "met",
                "details": [
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                "key": "not_deprecated",
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                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
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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": "engineering",
        "band": "excellent",
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        "weight": 0.2,
        "metrics": [
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            "note": null,
            "notes": [],
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                "status": "met",
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                "key": "tests_present",
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                "points": 24,
                "status": "met",
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                "key": "linter_config",
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                "points": 16,
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              {
                "key": "pre_commit_hooks",
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                "points": 9.6,
                "status": "met",
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              {
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                "points": 0,
                "status": "missed",
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                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
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                "points": 12,
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          {
            "key": "documentation",
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            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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              "has_wiki": true,
              "homepage": "https://docs.angr.io/projects/angr-management/en/latest/",
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            "components": [
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                "key": "documentation_directory",
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                "points": 25,
                "status": "met",
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                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
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                "status": "met",
                "details": [],
                "max_points": 15
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                "key": "repository_description",
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                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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              {
                "key": "topics",
                "name": "Topics",
                "detail": "3 topics",
                "points": 10,
                "status": "met",
                "details": [
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                "max_points": 10
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                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "value": 48,
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        "metrics": [
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              {
                "code": "weights_renormalized",
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            "value": 48,
            "inputs": {
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              "checks_evaluated": 16,
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            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
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              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "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",
                "points": 0,
                "status": "excluded",
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                "key": "ci_tests",
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                "key": "cii_best_practices",
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                "points": 0,
                "status": "missed",
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                "key": "code_review",
                "name": "Code-Review",
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                "key": "contributors",
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                "points": 2.5,
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                "max_points": 2.5
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              {
                "key": "dangerous_workflow",
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                "points": 10,
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                "details": [],
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                "key": "dependency_update_tool",
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                "details": [],
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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              {
                "key": "license",
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              {
                "key": "maintained",
                "name": "Maintained",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 5
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              {
                "key": "pinned_dependencies",
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                "detail": "dependency not pinned by hash detected -- score normalized to 5",
                "points": 2.5,
                "status": "partial",
                "details": [],
                "max_points": 5
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              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
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                "max_points": 7.5
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              {
                "key": "token_permissions",
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                "status": "missed",
                "details": [],
                "max_points": 7.5
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
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          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
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            "value": 100,
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              "meaning": "self-published location evidence; not nationality or citizenship",
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              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 5
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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?"
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      {
        "key": "ai_readiness",
        "band": "at_risk",
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        "value": 42,
        "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.",
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                "code": "excluded_no_data",
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                "key": "agent_instructions",
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                "status": "missed",
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                    "code": "no_agent_instructions",
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                "max_points": 45
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                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
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                "max_points": 40
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          {
            "key": "ai_verify_loop",
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                "code": "excluded_no_data",
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                "key": "reproducible_environment",
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                "key": "demonstrated_agent_practice",
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                "details": [
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                "max_points": 10
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              {
                "key": "automated_maintenance",
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                "key": "openssf_scorecard_pinned_dependencies",
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              {
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                "name": "Type-checkable code",
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              {
                "key": "manageable_file_sizes",
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      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-18T14:59:42.652326Z",
  "schema_version": "0.13.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/angr/angr-management.svg",
  "full_name": "angr/angr-management",
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  "license_spdx": "BSD-2-Clause"
}

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