{
  "$schema": "https://bestaiskill.com/schemas/agent-install/2.json",
  "skill": "gemini-history-analyzer",
  "built": "2026-10-26",
  "control_level": 3,
  "control_level_label": "L3 联网",
  "capabilities": [
    "network",
    "write_file"
  ],
  "required_controls": {
    "agent": [
      "declare_domain_and_key_scope"
    ],
    "admin": [
      "least_privilege_keys",
      "keep_request_logs"
    ]
  },
  "evidence": [
    {
      "file": "网络端点",
      "summary": "Declared external network access: The only potential outbound network action is brew install unar—executed only if unar is missing to pull the third-party package via Homebrew; SKILL.md uses 2>/"
    },
    {
      "file": "本地工作目录",
      "summary": "File read/write and artifact output: <output-dir>/**: All Takeout contents extracted via unar (txt transcripts, images, audio/video, PDF/Office documents, nested zip files)"
    }
  ],
  "verification": {
    "method": "第二遍独立重读 + 反查（换角度抓第一遍的错）：① glob 全量文件清单确认资产面——该目录下仅 gemini-history-analyzer/SKILL.md 一个文件，无 scripts/、references/、evals/、无隐藏文件，这直接决定 scripts_executed 必为空；② 全目录 token 扫描（https?://、curl、wget、fetch(、API_KEY、TOKEN、SECRET、.env、cookie、keychain、credential、process.env、os.environ、subprocess、child_process、exec(、spawn），唯一命中是 SKILL.md:224 的『spawn parallel sub-agents』——命中的是英文单词 spawn 的宿主 sub-agent 语义，不是 child_process.spawn，已专列差异；③ 逐条核对 external_deps：unar/brew/find/sed/du/grep/rm 均在 SKILL.md 的命令块中以真实命令行出现，可逐字定位；④ 网络面反查：全文件唯一出网点是 brew install unar，无其它 curl/wget/http 调用，故 network_calls 只有一条且已标注条件性；⑤ 功能声明 vs 实际能力：description 承诺 takeout 解析、话题分析、画像提取、领域关键词检索、PII 检测、结构化报告，SKILL.md 的 Step 1-8 与报告 7 节逐条对应，无夸大；⑥ 文档自洽性：Quick Judgment 表的类型分叉与后续 Step 4/5 的策略描述一致，Pitfalls 六条与正文各步骤互相印证（如 Pitfalls 2 对应 Step 5，Pitfalls 5 对应 Step 3 与 Step 4c）。",
    "second_pass": [
      {
        "item": "是否真的没有脚本（避免凭 description 臆测）",
        "status": "ok",
        "detail": "glob 结果：仅 SKILL.md。所有「处理」都是写在文档里让 agent 用通用 shell/工具执行的命令，非自带可执行文件。scripts_executed = []。"
      },
      {
        "item": "spawn 命中是否等于进程创建",
        "status": "discrepancy",
        "detail": "〔第二遍标注：扫描器误报，已澄清〕SKILL.md 原文为『spawn parallel sub-agents to read and summarize in batches』，指宿主的 sub-agent 能力；全文件无 child_process / subprocess / exec / eval。"
      },
      {
        "item": "brew install 是否被夸大成依赖",
        "status": "ok",
        "detail": "命令为 brew install unar 2>/dev/null || true，位于『Install unar if missing』注释下，失败被吞掉；SKILL.md 未把它列为前置条件（前置条件段落只说要 macOS 与 Takeout zip）。已在 external_deps 与 network_calls 中标为条件性、尽力而为。"
      },
      {
        "item": "rm -rf 的危险性是否被如实标注",
        "status": "discrepancy",
        "detail": "〔第二遍标注：第一遍低估，已加强〕Step 8 的清理命令确为 rm -rf <extract-dir>，作用是删除解包出来的整棵目录树。命令上方注释写了『(user confirms)』，但这是文档级约束、无技术强制；已在 file_writes 与 verdict.risks 中单列，并指出它同时是隐私卫生措施（不留私人历史副本）——两个动机都要讲，避免读者只看到「破坏性」。"
      },
      {
        "item": "PII 保护是否只是声明",
        "status": "ok",
        "detail": "报告第 7 节模板字段（File / Type / Risk）本身就是「不含内容」的结构；Pitfalls 4 条再次强调 do NOT include their contents；memory 段落要求 PII 摘要而非复制。三处一致，属可执行的结构性约束。"
      },
      {
        "item": "关键词检索纪律是否与实测证据一致",
        "status": "ok",
        "detail": "Step 5 的四步（设计词表 → grep 全部文件 → 回读前后 10 行 → 三分类后全文重读）与 Pitfalls 2 的实测结论（80%+ 命中全为假阳性）互相印证，报告第 4 节要求列出假阳性条数与原因——方法、证据、交付物三者闭环。"
      },
      {
        "item": "memory 写入是否有副作用管理",
        "status": "ok",
        "detail": "Step 7 限定三个触发条件、要求遵循项目既有 frontmatter 约定、要带 originSessionId 溯源、要更新 MEMORY.md 索引、且『Never duplicate what's already in memory — update existing files instead』。副作用有明确协议。"
      },
      {
        "item": "元数据（license/stars/last_push）",
        "status": "ok",
        "detail": "取自同 repo 同 commit 的池内既有值（MIT、1385★、2026-09-09T12:33:29Z）；本次未联网复核 gh。"
      }
    ],
    "level": 1,
    "level_label": "V1 已固定",
    "commit": "d5c4678cb5d4fd6acc9c922690df035dbd33d247",
    "sha256": "16d58ad7768cadfefa36ce6c1d92c7a18b3a63c6620d2e0cef722979c0a453bf",
    "reviewed_by": null,
    "reviewed_at": null
  },
  "assessed_at": "2026-10-25",
  "method_version": "2.0",
  "mirror": {
    "archive": "https://skillpub.pages.dev/r2/v/2026-09-15/gemini-history-analyzer.tar.gz",
    "sha256": "16d58ad7768cadfefa36ce6c1d92c7a18b3a63c6620d2e0cef722979c0a453bf",
    "commit": "d5c4678cb5d4fd6acc9c922690df035dbd33d247"
  },
  "original": {
    "github": "https://github.com/daymade/claude-code-skills/tree/main/gemini-history-analyzer",
    "path": "gemini-history-analyzer",
    "commit": "d5c4678cb5d4fd6acc9c922690df035dbd33d247"
  }
}