ipc-sim/ipc-toolkit erreicht einen Gesundheitsindex von 77 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (91/100) ab, am schwächsten bei AI Readiness (65/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
77
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.
77
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Release-Rhythmus — ein Release etwa alle 134,8 Tage
0/10
OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count
10
latest_release_tag
v1.6.0
releases_from_tags
nein
days_since_latest_release
12
mean_days_between_releases
134,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25
Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40
Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
source
osv
advisories
0
affected_packages
0
assessed_packages
2
unassessed_packages
0
affected_by_severity
none
direct_affected_packages
0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:ipctk@1.6.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 2 Paketen. Erreichbarkeit wird nicht analysiert.
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.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 51 ⇿
0Sterne
51Forks
9Releases
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.
Major 1Minor 5Patch 3
Jeder Punkt umfasst 6 Tage.
OpenSSF Scorecard 5.9 / 10
5.9Gesamtwert
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 · 2026-07-27 16:40 UTC
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 2 direkte und 15 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
Registry
Paket
Version
Beziehung
PyPI
numpy
—
direkt
PyPI
scipy
—
direkt
PyPI
autoclasstoc
—
indirekt
PyPI
breathe
—
indirekt
PyPI
meshio
—
indirekt
PyPI
myst-parser
—
indirekt
PyPI
nbsphinx
—
indirekt
PyPI
nose2
—
indirekt
PyPI
pandoc
—
indirekt
PyPI
setuptools
—
indirekt
PyPI
sphinx
—
indirekt
PyPI
sphinx-autobuild
—
indirekt
PyPI
sphinx-immaterial
—
indirekt
PyPI
sphinx-last-updated-by-git
—
indirekt
PyPI
sphinx-sitemap
—
indirekt
PyPI
sphinxcontrib-bibtex
—
indirekt
PyPI
sphinxemoji
—
indirekt
Abhängigkeits-Advisories 0
Die Installation von pypi:ipctk@1.6.0 zieht 2 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"points": 9,
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"details": [
{
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}
],
"max_points": 54
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{
"key": "commit_distribution",
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"detail": "top contributor authored 95% of commits",
"points": 1,
"status": "partial",
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}
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{
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],
"max_points": 13.5
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{
"key": "openssf_scorecard_contributors",
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]
},
{
"key": "responsiveness",
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"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
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"components": [
{
"key": "issue_resolution",
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"points": 45.2,
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{
"key": "pr_acceptance",
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"status": "partial",
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{
"key": "openssf_scorecard_code_review",
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"points": 1.5,
"status": "partial",
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]
},
{
"key": "stewardship",
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"notes": [],
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"components": [
{
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{
"code": "owner_organization",
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{
"key": "verified_domain",
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{
"key": "owner_reach",
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{
"key": "track_record",
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"points": 18.9,
"status": "partial",
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{
"code": "public_repos",
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},
{
"code": "account_age_years",
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]
},
{
"key": "package_maintenance",
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"name": "Package maintenance",
"note": null,
"notes": [],
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"inputs": {
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"ecosystems": "pypi",
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"components": [
{
"key": "published_resolvable",
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"points": 25,
"status": "met",
"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
"max_points": 25
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{
"key": "publish_recency",
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"detail": "latest publish 12 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
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{
"key": "version_history",
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"detail": "10 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 10
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
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],
"max_points": 20
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]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 91,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
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"has_tests": true,
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"components": [
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"detail": "8 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
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],
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{
"key": "tests_present",
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"detail": null,
"points": 24,
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"details": [],
"max_points": 24
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{
"key": "linter_config",
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"detail": null,
"points": 16,
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{
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"points": 9.6,
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{
"key": "editorconfig",
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
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"points": 18,
"status": "partial",
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"max_points": 20
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]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
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"components": [
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"max_points": 30
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{
"key": "documentation_directory",
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"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
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{
"key": "documentation_homepage_site",
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"points": 15,
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{
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"points": 10,
"status": "met",
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{
"key": "topics",
"name": "Topics",
"detail": "6 topics",
"points": 10,
"status": "met",
"details": [
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}
],
"max_points": 10
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{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 67,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
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"notes": [
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"code": "excluded_no_data",
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},
{
"code": "weights_renormalized",
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],
"value": 59,
"inputs": {
"source": "openssf_scorecard",
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"components": [
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"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",
"details": [
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"code": "no_data",
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],
"max_points": 7.5
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{
"key": "ci_tests",
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"points": 2.2,
"status": "partial",
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},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "code_review",
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"points": 0.8,
"status": "partial",
"details": [],
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{
"key": "contributors",
"name": "Contributors",
"detail": "project has 10 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "23 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:ipctk@1.6.0 runtime dependency closure — what installing the published package pulls in — 2 packages. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
"params": {
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},
{
"code": "weights_renormalized",
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{
"code": "advisories_scope_published",
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},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
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"affected_packages": 0,
"assessed_packages": 2,
"unassessed_packages": 0,
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"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
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"code": "no_direct_advisories",
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}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
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"code": "no_indirect_advisories",
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}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
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"code": "advisories_no_publication_date",
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],
"max_points": 40
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]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
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"components": [
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"code": "no_malicious_dependencies",
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}
],
"max_points": 100
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]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"exposures": [],
"policy_countries": [
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"review_only_matches": 0,
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"components": [
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"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
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"status": "met",
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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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{
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"name": "AI Readiness",
"value": 65,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"note": null,
"notes": [],
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"components": [
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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,
"status": "missed",
"details": [],
"max_points": 15
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{
"key": "legible_commit_history",
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"points": 28,
"status": "partial",
"details": [
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"code": "legible_history",
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]
},
{
"key": "ai_verify_loop",
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"note": null,
"notes": [],
"value": 90,
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"lockfiles": [],
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"components": [
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"status": "met",
"details": [
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"code": "file_list",
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{
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"points": 22,
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{
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"points": 11,
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{
"key": "static_type_checking",
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{
"key": "reproducible_environment",
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"points": 10,
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"details": [
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],
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{
"key": "demonstrated_agent_practice",
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"points": 10,
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"details": [
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],
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{
"key": "automated_maintenance",
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{
"key": "openssf_scorecard_pinned_dependencies",
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]
},
{
"key": "ai_code_legibility",
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"notes": [],
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"components": [
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"status": "met",
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"code": "statically_typed_language",
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],
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{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
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"points": 54.9,
"status": "partial",
"details": [
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"code": "oversized_source_files",
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}
],
"max_points": 55
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]
},
{
"key": "ai_interfaces",
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{
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-27T16:41:02.309842Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/i/ipc-sim/ipc-toolkit.svg",
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Verwandte Einträge
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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
