Öffentliches Register
Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-17 19:15 UTC

seqra / seqra

The open source taint analysis engine for the AI era. A formal dataflow analysis tool you can customize and self-host, built so AI agents drive your application security analysis without burning tokens on every scan. AI-ready open source alternative to Semgrep Pro and CodeQL.

Kotlin · GoApache-2.0★ 110 Sterne⑂ 8 Forksseit Sept. 2025Auf GitHub ansehen ↗

seqra/seqra erreicht einen Gesundheitsindex von 66 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei Community & Adoption (45/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

66
gesamt / 100
Mittel

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.

66
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

SeqraOrganisation
3 Follower7 öffentliche Reposseit Feb. 2025

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
Gogithub.com/seqra/opentaintverweist auf ein anderes Repo — nicht bewertetv0.4.5-14vor 7 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 — 1.030 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 29 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year1.030
human_commit_share
days_since_last_push0
active_weeks_last_year52
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 0,8 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count100
latest_release_taganalyzer/latest
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases0,8

Community & Verbreitung

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

45Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
33/60Stars — 110 Stars
7/25Forks — 8 Forks
0/15Watcher — 2 Watcher
Verwendete Eingangsdaten
forks8
stars110
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
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?

56Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
15.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 32 % der Commits
13.5/13.5Breite der Beitragenden — 11 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled11
top_contributor_share0,318
Wie die Bewertung erfolgt
16.9/46.8Issue-Lösungsquote — 36 % der Issues geschlossen
37.7/38.3PR-Annahme — 222/225 entschiedene PRs gemergt
3/15OpenSSF Scorecard: Code-Review — Found 7/30 approved changesets -- score normalized to 2
Verwendete Eingangsdaten
merged_prs222
open_issues39
closed_issues22
issue_closed_ratio0,361
closed_unmerged_prs3
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
4.3/25Reichweite des Inhabers — 3 Follower von seqra
9.5/25Kontohistorie — 7 öffentliche Repos, Kontoalter ca. 1 Jahre
Verwendete Eingangsdaten
followers3
owner_typeOrganization
is_verified
owner_loginseqra
public_repos7
account_age_days525

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

77Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 18 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://opentaint.org
10/10Repository-Beschreibung
10/10Topics — 20 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsjava, kotlin, sast, security, security-tools, spring, static-analysis, vulnerabilities, vulnerability-detection, vulnerability-scanners, seqra, taint-analysis, skills, agents, ai-security, code-quality, cybersecurity, hacking, offensive-security, security-automation
has_wikinein
homepagehttps://opentaint.org
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

52Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
5.2/7.5Binary-Artifacts — binaries present in source code
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
1.5/7.5Code-Review — Found 7/30 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 4 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 29 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
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
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5,2

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.

57Mittel · 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 — Makefile, cli/Makefile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — Kotlin (statisch typisiert)
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesgo.sum, uv.lock
has_dockerfileja
typed_languageja
bootstrap_filesMakefile, cli/Makefile
has_devcontainernein
has_linter_confignein
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
45/45Typprüfbarer Code — Kotlin (statisch typisiert)
54.9/55Handhabbare Dateigrößen — 5/2.190 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageKotlin
largest_source_bytes91.843
source_files_sampled2.190
oversized_source_files5
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — core/opentaint-ir/go/proto/goir/service.proto
0/20MCP-Server
40/40Lauffähige Beispiele — example, examples, sample, samples
Verwendete Eingangsdaten
example_dirsexample, examples, sample, samples
has_mcp_signalnein
api_schema_filescore/opentaint-ir/go/proto/goir/service.proto

Eckdaten

110GitHub-Sterne
11Mitwirkende
1.030Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
2Bus-Faktor
39offene Issues
Go, MavenPaket-Ökosysteme

Warnungen zur Datenerhebung

  • go package 'github.com/seqra/opentaint' points at a different repository (https://github.com/seqra/opentaint); excluded from ecosystem scoring

Weitere Details

OpenSSF Scorecard 5.2 / 10
5.2Gesamtwert

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 · 2026-07-17 19:14 UTC

7Binary-Artifactsbinaries present in source code
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 7/30 approved changesets -- score normalized to 2
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 29 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
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
9Vulnerabilities1 existing vulnerabilities detected
Direkte Abhängigkeiten 12
RegistryPaketVersionsvorgabeManifest
Gocharm.land/lipgloss/v2v2.0.0cli/go.mod
Gogithub.com/bmatcuk/doublestar/v4v4.6.1cli/go.mod
Gogithub.com/charmbracelet/bubblesv1.0.0cli/go.mod
Gogithub.com/charmbracelet/colorprofilev0.4.2cli/go.mod
Gogithub.com/gofrs/flockv0.13.0cli/go.mod
Gogithub.com/google/go-github/v74v74.0.0cli/go.mod
Gogithub.com/sirupsen/logrusv1.9.3cli/go.mod
Gogithub.com/spf13/cobrav1.9.1cli/go.mod
Gogithub.com/spf13/pflagv1.0.6cli/go.mod
Gogithub.com/spf13/viperv1.1.1cli/go.mod
Gogolang.org/x/termv0.37.0cli/go.mod
Gogopkg.in/yaml.v2v2.4.0cli/go.mod
Alle Abhängigkeiten 64

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 12 direkte und 52 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
Gocharm.land/lipgloss/v2v2.0.0direkt
Gogithub.com/bmatcuk/doublestar/v4v4.6.1direkt
Gogithub.com/charmbracelet/bubblesv1.0.0direkt
Gogithub.com/charmbracelet/colorprofilev0.4.2direkt
Gogithub.com/gofrs/flockv0.13.0direkt
Gogithub.com/google/go-github/v74v74.0.0direkt
Gogithub.com/sirupsen/logrusv1.9.3direkt
Gogithub.com/spf13/cobrav1.9.1direkt
Gogithub.com/spf13/pflagv1.0.6direkt
Gogithub.com/spf13/viperv1.1.1direkt
Gogolang.org/x/termv0.37.0direkt
Gogopkg.in/yaml.v2v2.4.0direkt
Go./stubs/beego2.0.0indirekt
Go./stubs/crypt2go1.0.0indirekt
Go./stubs/x-crypto0.21.0indirekt
Gogithub.com/aymanbagabas/go-osc52/v2v2.0.1indirekt
Gogithub.com/charmbracelet/bubbleteav1.3.10indirekt
Gogithub.com/charmbracelet/harmonicav0.2.0indirekt
Gogithub.com/charmbracelet/lipglossv1.1.1-0.20250404203927-76690c660834indirekt
Gogithub.com/charmbracelet/ultravioletv0.0.0-20251205161215-1948445e3318indirekt
Gogithub.com/charmbracelet/x/ansiv0.11.6indirekt
Gogithub.com/charmbracelet/x/cellbufv0.0.15indirekt
Gogithub.com/charmbracelet/x/termv0.2.2indirekt
Gogithub.com/charmbracelet/x/termiosv0.1.1indirekt
Gogithub.com/charmbracelet/x/windowsv0.2.2indirekt
Gogithub.com/clipperhouse/displaywidthv0.11.0indirekt
Gogithub.com/clipperhouse/uax29/v2v2.7.0indirekt
Gogithub.com/erikgeiser/coninputv0.0.0-20211004153227-1c3628e74d0findirekt
Gogithub.com/fsnotify/fsnotifyv1.4.7indirekt
Gogithub.com/google/go-querystringv1.1.0indirekt
Gogithub.com/hashicorp/hclv1.0.0indirekt
Gogithub.com/inconshreveable/mousetrapv1.1.0indirekt
Gogithub.com/lucasb-eyer/go-colorfulv1.3.0indirekt
Gogithub.com/magiconair/propertiesv1.8.10indirekt
Gogithub.com/mattn/go-isattyv0.0.20indirekt
Gogithub.com/mattn/go-localereaderv0.0.1indirekt
Gogithub.com/mattn/go-runewidthv0.0.19indirekt
Gogithub.com/mitchellh/mapstructurev1.5.0indirekt
Gogithub.com/muesli/ansiv0.0.0-20230316100256-276c6243b2f6indirekt
Gogithub.com/muesli/cancelreaderv0.2.2indirekt
Gogithub.com/muesli/termenvv0.16.0indirekt
Gogithub.com/pelletier/go-tomlv1.9.5indirekt
Gogithub.com/rivo/unisegv0.4.7indirekt
Gogithub.com/rogpeppe/go-internalv1.13.1indirekt
Gogithub.com/spf13/aferov1.2.2indirekt
Gogithub.com/spf13/castv1.7.1indirekt
Gogithub.com/spf13/jwalterweathermanv1.1.0indirekt
Gogithub.com/stretchr/testifyv1.10.0indirekt
Gogithub.com/xo/terminfov0.0.0-20220910002029-abceb7e1c41eindirekt
Gogolang.org/x/modv0.37.0indirekt
Gogolang.org/x/netv0.56.0indirekt
Gogolang.org/x/syncv0.18.0indirekt
Gogolang.org/x/syncv0.21.0indirekt
Gogolang.org/x/sysv0.41.0indirekt
Gogolang.org/x/sysv0.46.0indirekt
Gogolang.org/x/textv0.26.0indirekt
Gogolang.org/x/textv0.38.0indirekt
Gogolang.org/x/toolsv0.45.0indirekt
Gogoogle.golang.org/genproto/googleapis/rpcv0.0.0-20260608224507-4308a22a1babindirekt
Gogoogle.golang.org/grpcv1.81.1indirekt
Gogoogle.golang.org/protobufv1.36.11indirekt
Gogopkg.in/check.v1v1.0.0-20201130134442-10cb98267c6cindirekt
PyPIpyyaml6.0.3indirekt
PyPIruff0.15.5indirekt
JSON-Rohbericht maschinenlesbar
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          "exists": true,
          "license": null,
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          "registry_url": "https://pkg.go.dev/github.com/seqra/opentaint",
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          "latest_version": "v0.4.5",
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          "versions_count": 14,
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          "deprecation_note": null,
          "maintainers_count": null,
          "monthly_downloads": null,
          "first_published_at": null,
          "latest_published_at": "2026-07-10T13:57:25Z",
          "latest_version_yanked": null,
          "days_since_latest_publish": 7
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      "open_issues_and_prs": 49
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      "example_dirs": [
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      "has_llms_txt": false,
      "has_dockerfile": true,
      "has_mcp_signal": false,
      "bootstrap_files": [
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      ],
      "api_schema_files": [
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      ],
      "has_devcontainer": false,
      "typecheck_configs": [],
      "largest_source_bytes": 91843,
      "source_files_sampled": 2190,
      "oversized_source_files": 5,
      "agent_instruction_files": [],
      "agent_instruction_max_bytes": null
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      "ecosystems": [
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      "dependencies": [
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          "version_constraint": "v2.0.0"
        },
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          "name": "github.com/bmatcuk/doublestar/v4",
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          "ecosystem": "go",
          "version_constraint": "v4.6.1"
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                  {
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                "key": "openssf_scorecard_contributors",
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                "max_points": 10
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          {
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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                "key": "owner_reach",
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                "key": "track_record",
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        ],
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                "key": "linter_config",
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                "key": "documentation_directory",
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        ],
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
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              {
                "key": "license",
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              {
                "key": "maintained",
                "name": "Maintained",
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                "key": "packaging",
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                "key": "pinned_dependencies",
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              {
                "key": "sast",
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              {
                "key": "security_policy",
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 3
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 57,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 74,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "go.sum",
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": true,
              "bootstrap_files": [
                "Makefile",
                "cli/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile, cli/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, cli/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "Kotlin (statically typed)",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "Kotlin"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "primary_language": "Kotlin",
              "largest_source_bytes": 91843,
              "source_files_sampled": 2190,
              "oversized_source_files": 5
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Kotlin (statically typed)",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "Kotlin"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "5/2190 source files over 60KB",
                "points": 54.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 2190,
                      "oversized": 5
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "good",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "example_dirs": [
                "example",
                "examples",
                "sample",
                "samples"
              ],
              "has_mcp_signal": false,
              "api_schema_files": [
                "core/opentaint-ir/go/proto/goir/service.proto"
              ]
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "core/opentaint-ir/go/proto/goir/service.proto",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "core/opentaint-ir/go/proto/goir/service.proto"
                    }
                  }
                ],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "example, examples, sample, samples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "example, examples, sample, samples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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": [
    "go package 'github.com/seqra/opentaint' points at a different repository (https://github.com/seqra/opentaint); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-17T19:15:02.397665Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/seqra/seqra.svg",
  "full_name": "seqra/seqra",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.

Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.12.0 — vollständige Methodik · Metriken-Wiki.

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