databricks / databricks-sdk-java

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 14 direkte und 22 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

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                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 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 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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                "key": "sast",
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                "points": 0,
                "status": "missed",
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              },
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                "key": "security_policy",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
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                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "vulnerabilities",
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                "detail": "31 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
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            "value": 100,
            "inputs": {
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              "red_flag": false,
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              "policy_countries": [
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                "Iran",
                "North Korea"
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              "review_only_matches": 0,
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                "key": "policy_exposure_multiplier",
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                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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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",
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        "value": 50,
        "weight": 0,
        "metrics": [
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            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
                "params": {
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
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                "max_points": 45
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                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
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                "points": 0,
                "status": "missed",
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                "key": "legible_commit_history",
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          {
            "key": "ai_verify_loop",
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                "params": {
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "details": [
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                "key": "automated_tests",
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                "status": "missed",
                "details": [],
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                "key": "static_type_checking",
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                "max_points": 10
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                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
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                "max_points": 8
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                "key": "openssf_scorecard_pinned_dependencies",
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                "key": "manageable_file_sizes",
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                "points": 55,
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                "details": [
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                    "code": "oversized_source_files",
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            "key": "ai_interfaces",
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            "notes": [],
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                "key": "mcp_server",
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                "key": "runnable_examples",
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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."
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    "metrics_version": "1.13.0"
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  "warnings": [
    "Could not fetch maven package 'com.databricks:shaded-databricks-sdk' from its registry"
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  "report_type": "repository",
  "generated_at": "2026-07-19T07:54:05.128511Z",
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  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/databricks/databricks-sdk-java.svg",
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  "license_state": "standard",
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}