{
  "id": "RST-2026-0203",
  "kind": "result",
  "label": "Individuals: 2.75% publish .claude/settings.local.json, 10.5% an agent configuration file",
  "created_at": "2026-10-13",
  "updated_at": "2026-10-13",
  "values": {
    "eml_status": "STABLE",
    "eml_evidence_level": "E2",
    "eml_object_version": "0.1",
    "eml_canonical_url": "https://evemisslab.com/ai/results/RST-2026-0203/",
    "eml_provenance": {
      "source": "EveMissLab research collection: AI Agent Publication Boundary and Security Closure (真本體論14)",
      "extracted_by": "Splice (Claude Code), reading the open-source release's own manifests, locks and pooled outputs, and the hashes of the internal drafts",
      "extracted_at": "2026-10-13",
      "generator": "tools/extract_all.py",
      "claim_boundary": "status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports"
    },
    "eml_summary": "Of 400 individual AI-assisted repositories, 11 published .claude/settings.local.json — a file Claude Code itself keeps out of git — and 42 published an AI agent configuration file. Five of the six high-warning agent-state cells were home-directory paths inside MCP, editor or agent configuration files. No agent conversation history appeared in this frame.",
    "eml_summary_zh": "400 個個人 AI 輔助倉庫中，11 個公開了 .claude/settings.local.json（Claude Code 自己會排除在 git 之外的檔案），42 個公開了 AI 代理設定檔。代理狀態檔的 6 格高警示中有 5 格，是寫在 MCP、編輯器或代理設定檔裡的家目錄路徑。這個框架中沒有出現 AI 對話紀錄。",
    "eml_label_zh": "個人倉庫：2.75% 公開了 .claude/settings.local.json，10.5% 公開了代理設定檔",
    "eml_primary_domain": "Privacy",
    "eml_program_id": "PRG-2026-0201",
    "eml_data_basis": "BLIND PUBLIC DATA",
    "eml_result_type": "POSITIVE",
    "eml_metrics": {
      "settings_local_public": {
        "count": 11,
        "of": 400,
        "share": 0.0275,
        "ci95": [
          0.0138,
          0.0487
        ]
      },
      "agent_config_public": {
        "count": 42,
        "of": 400,
        "share": 0.105,
        "ci95": [
          0.0767,
          0.1393
        ]
      },
      "agent_history_public": {
        "count": 0,
        "of": 400,
        "share": 0.0,
        "ci95": [
          0.0,
          0.0092
        ]
      },
      "local_by_tool_kinds": {
        "CLAUDE_LOCAL_MD": 0,
        "CLAUDE_SETTINGS_LOCAL": 11,
        "AIDER_CHAT_HISTORY": 0,
        "AIDER_INPUT_HISTORY": 0
      },
      "agent_config_kinds": {
        "CLAUDE_SETTINGS": 14,
        "MCP_JSON": 21,
        "CURSOR_MCP": 5,
        "VSCODE_MCP": 9,
        "GEMINI_SETTINGS": 6
      },
      "by_surface": {
        "GENERAL_README": {
          "high_warning": {
            "count": 21,
            "of": 360,
            "share": 0.0583,
            "ci95": [
              0.0365,
              0.0878
            ]
          },
          "l3": 1,
          "analyzable": 360
        },
        "AI_INSTRUCTION_SELECTED": {
          "high_warning": {
            "count": 12,
            "of": 400,
            "share": 0.03,
            "ci95": [
              0.0156,
              0.0518
            ]
          },
          "l3": 3,
          "analyzable": 400
        },
        "AGENT_STATE": {
          "high_warning": {
            "count": 6,
            "of": 66,
            "share": 0.0909,
            "ci95": [
              0.0341,
              0.1874
            ]
          },
          "l3": 5,
          "analyzable": 66
        }
      }
    },
    "eml_interpretation": "Ordinary people publish files their own AI tools define as local, and agent configuration carries concrete local paths: a boundary crossing defined by the tools' own documentation, observed without anyone reading the files.",
    "eml_limitations": [
      "Exploratory, non-probability frame; not a prevalence estimate.",
      "No human checked any finding; secret-like means a shape and was never tested.",
      "Current public state only, observed once."
    ],
    "eml_ai_collaborators": [
      "Splice (Claude Code, Anthropic) — Phase II protocols, runners, audits, reports and the integrated edition"
    ],
    "eml_authors": [
      "Neo.K (EveMissLab)"
    ]
  },
  "canonical_url": "https://evemisslab.com/ai/results/RST-2026-0203/",
  "json": "/ai/results/RST-2026-0203/index.json",
  "relations": [
    {
      "id": "REL-2026-0611",
      "predicate": "supports",
      "source": "RST-2026-0203",
      "target": "OBS-2026-0206",
      "status": "ACTIVE"
    },
    {
      "id": "REL-2026-0612",
      "predicate": "supports",
      "source": "RST-2026-0203",
      "target": "OBS-2026-0207",
      "status": "ACTIVE"
    },
    {
      "id": "REL-2026-0613",
      "predicate": "supports",
      "source": "RST-2026-0203",
      "target": "OBS-2026-0208",
      "status": "ACTIVE"
    },
    {
      "id": "REL-2026-0614",
      "predicate": "supports",
      "source": "RST-2026-0203",
      "target": "THY-2026-0203",
      "status": "ACTIVE"
    },
    {
      "id": "REL-2026-0610",
      "predicate": "produces",
      "source": "EXP-2026-0203",
      "target": "RST-2026-0203",
      "status": "ACTIVE"
    }
  ],
  "snapshot": {
    "snapshot_id": "AI-SNAPSHOT-v0.1-58e716495670",
    "created_at": "2026-10-13T14:55:22Z",
    "format_version": "0.1",
    "sedb_baseline": "v0.4B contract; static source content/ai/",
    "generator_version": "evemisslab-com ai_research 0.1",
    "object_count": 179,
    "relation_count": 624,
    "artifact_count": 88
  }
}