Is Kortex Notebook: Best Gemini NotebookLM Toolkit safe?

scrapeConversation: function() {  if (document.querySelector(this.selectors.GROUP_CHAT_HEADER)) return this.scrapeGroupChatConversation();  const e = [];  document.querySelectorAll(this.selectors.TURN_CONTAINER).forEach(n => {    const r = n.querySelector(this.selectors.MESSAGE_ROLE), o = n.querySelector(this.selectors.MESSAGE_CONTENT);    r && o && e.push({      role: r.getAttribute("data-message-author-role"),      content: o.innerText    });  });  e.length === 0 && document.querySelectorAll("[data-message-author-role]").forEach(r => {    const o = r.getAttribute("data-message-author-role"), s = (r.querySelector(".markdown.prose, .markdown, .whitespace-pre-wrap") || r).innerText.trim();    o && s && e.push({      role: o,      content: s    });  });  return e;}

scrapeConversation: function() {  const e = [], t = document.querySelector(this.selectors.CANVAS_CONTENT);  if (t) {    const r = t.innerText.trim();    r && e.push({      role: "model",      content: r    });  }  document.querySelectorAll(`${this.selectors.CONVERSATION_CONTAINER} > ${this.selectors.USER_QUERY_BLOCK}, ${this.selectors.CONVERSATION_CONTAINER} > ${this.selectors.MODEL_RESPONSE_BLOCK}`).forEach(r => {    let o = "", i = "";    if (r.tagName.toLowerCase() === this.selectors.USER_QUERY_BLOCK) {      o = "user";      const s = r.querySelector(this.selectors.USER_CONTENT);      s && (i = s.innerText.trim());    } else if (r.tagName.toLowerCase() === this.selectors.MODEL_RESPONSE_BLOCK) {      o = "model";      const s = r.querySelector(this.selectors.MODEL_CONTENT);      s && (i = s.innerText.trim());    }    o && i && !r.querySelector("immersive-panel") && e.push({      role: o,      content: i    });  });  return e;}

async function de(n, i, e, t, s = "/", r = null) {  const o = (Math.floor(9e5 * Math.random()) + 1e5).toString(),    a = JSON.stringify([      [        [n, JSON.stringify(i), null, "generic"]      ]    ]);  console.log("[batchExecute] RPC Payload:", a);  let l = r;  l == null && (l = await He());  const c = new URL(Mr);  c.searchParams.set("rpcids", n);  c.searchParams.set("source-path", s);  c.searchParams.set("bl", t);  c.searchParams.set("_reqid", o);  c.searchParams.set("rt", "c");  l != null && c.searchParams.set("authuser", l.toString());  const y = await fetch(c.toString(), {    method: "POST",    credentials: "include",    headers: {      "Content-Type": "application/x-www-form-urlencoded"    },    body: `f.req=${encodeURIComponent(a)}&at=${e}`  });  if (!y.ok) throw new Error(`API Request failed: ${y.status}`);  return y;}

const c = await chrome.runtime.sendMessage({  type: "REFRESH_NOTEBOOKLM_TOKENS"});c && c.success ? W(u, true, "Account selected and verified.") : W(u, true, "Account selected. Please log into NotebookLM with this account in the opened tab.");

function mt(n, i) {  const t = new RegExp(`"${n}":"([^"]+)"`).exec(i);  return t ? t[1] : null;}async function ce() {  try {    const n = await Ae();    if (n) {      const l = await jt(n);      if (l && l.atToken && l.blToken) return E.debug("Using stored tokens for account", {        account: n      }), {        atToken: l.atToken,        blToken: l.blToken      };    }    const i = await He();    let e = st.notebooklm.baseUrl;    if (i != null) {      const l = new URL(e);      l.searchParams.set("authuser", i.toString());      l.searchParams.set("pageId", "none");      e = l.toString();    }    const t = await fetch(e, {      redirect: "error",      credentials: "include"    });    if (!t.ok) throw n ? new Error(`Please log in to NotebookLM with account ${n} in a separate tab first.`) : new Error("Please log in to NotebookLM in a separate tab first.");    const s = await t.text(), r = mt("SNlM0e", s), o = mt("cfb2h", s);    if (!r || !o) throw n ? new Error(`Could not find NotebookLM tokens. Please ensure you're logged into NotebookLM with account ${n}.`) : new Error("Could not find NotebookLM tokens.");    n && (await Vt(n, {      atToken: r,      blToken: o    }), E.debug("Stored tokens for account", {      account: n    }));    return {      atToken: r,      blToken: o    };  } catch (n) {    throw console.error("Auth failed:", n), n;  }}

async function Vt(n, i) {  return new Promise(e => {    chrome.storage.local.get([Le], t => {      const s = t[Le] || {};      s[n] = {        ...i,        timestamp: Date.now()      };      chrome.storage.local.set({        [Le]: s      }, () => {        e();      });    });  });}async function jt(n) {  return new Promise(i => {    chrome.storage.local.get([Le], e => {      const s = (e[Le] || {})[n];      if (s && s.timestamp && Date.now() - s.timestamp < 36e5) {        i(s);        return;      }      i(null);    });  });}

const e = await chrome.runtime.sendMessage({  type: "GET_NOTEBOOKLM_ACCOUNTS"});if (console.log("Kortex: Accounts response:", e), e && e.success && e.accounts && e.accounts.length > 0) {  n.innerHTML = "";  e.accounts.forEach(l => {    const u = document.createElement("option");    u.value = l.index !== void 0 ? l.index.toString() : l.email;    let i = l.email;    l.detected && !l.stored && (i += " (detected)");    l.isDefault && (i += " (default)");    u.textContent = i;    u.dataset.email = l.email;    n.appendChild(u);  });}

async function Rr() {  try {    console.log("Kortex: Starting Google account detection via ListAccounts API...");    const n = await fetch("https://accounts.google.com/ListAccounts?json=standard&source=ogb&md=1&cc=1&mn=1&mo=1&gpsia=1&fwput=860&listPages=1&origin=https%3A%2F%2Fwww.google.com", {      credentials: "include"    });    if (!n.ok) return console.warn("Kortex: Failed to fetch accounts:", n.status, n.statusText), await Je();    const i = await n.text();    console.log("Kortex: ListAccounts response received, length:", i.length);    let e = null;    try {      e = JSON.parse(i), Array.isArray(e) && e.length > 1 && Array.isArray(e[1]) && console.log("Kortex: Response is direct JSON, using it directly");    } catch {}    let t = null;    if (!e) {      const o = [/postMessage\('(.*?)',\s*'https:/s, /postMessage\("(.*?)",\s*"https:/s, /postMessage\('(.*)',\s'https:/, /postMessage\("(.*)",\s"https:/, /var\s+accounts\s*=\s*(\[.*?\])/, /\["ListAccounts",\s*(\[.*?\])/, /accounts:\s*(\[.*?\])/];      for (const a of o)        if (t = a.exec(i), t && t[1]) {          console.log("Kortex: Found account data with pattern:", a.toString());          break;        }      if (!t || !t[1]) return console.warn("Kortex: No account data found in response. Trying fallback..."), console.log("Kortex: Response preview (first 1000 chars):", i.substring(0, 1e3)), await Je();    }    let s;    try {      if (e) s = e.length > 1 && Array.isArray(e[1]) ? e[1] : [];      else {        let o = t[1].replace(/\\x5b/g, "[").replace(/\\x5d/g, "]").replace(/\\x22/g, '"').replace(/\\'/g, "'").replace(/\\"/g, '"').replace(/\\n/g, "").replace(/\\r/g, "");        try {          e = JSON.parse(o);        } catch (a) {          try {            e = JSON.parse(`[${o}]`);          } catch {            throw a;          }        }        Array.isArray(e) ? e.length > 1 && Array.isArray(e[1]) ? s = e[1] : (e.length > 0 && Array.isArray(e[0]) && e[0].length > 0 && typeof e[0][0] == "string" && e[0][0].startsWith("gaia.l.a"), s = e) : s = [];      }      console.log("Kortex: Parsed account data, count:", s.length, "First account:", s[0]);    } catch (o) {      return console.error("Kortex: Failed to parse account list:", o), console.log("Kortex: Raw match:", t[1].substring(0, 200)), await Je();    }    if (!Array.isArray(s) || s.length === 0) return console.warn("Kortex: No accounts in parsed data, trying fallback..."), await Je();    const r = s.map((o, a) => {      if (!Array.isArray(o) || o.length < 4) return console.warn("Kortex: Invalid account structure:", o), null;      if (o[0] !== "gaia.l.a") return console.warn('Kortex: Account does not start with "gaia.l.a":', o[0]), null;      const l = o[2] || null, c = o[3] || null, y = o[4] || null, f = o[5] === 1, k = o[6] === 1, m = typeof o[7] == "number" ? o[7] : a, x = o[10] || c || `account_${a}`;      return !c || typeof c != "string" ? (console.warn("Kortex: Invalid email in account:", o), null) : {        email: c.toLowerCase(),        id: x,        name: l || c.split("@")[0] || `Account ${a+1}`,        index: m,        isActive: f,        isDefault: k,        src: y,        detected: true      };    }).filter(o => o !== null && o.email && !o.email.includes("@unknown"));    return console.log("Kortex: Detected Google accounts via ListAccounts API:", r.length, r), r;  } catch (n) {    return console.error("Kortex: Error detecting Google accounts:", n), await Je();  }}