feat(server): randomize the seeded admin initial password (#172)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

packages/landing/content/blog/easiest-way-to-build-ai-agents-2026.en.md

@@ -78,7 +78,7 @@ One install gives you all five rows of that first table, sharing one data direct
 
 ```bash
 curl -fsSL https://penguin.ooo/install.sh | sh
-penguin web        # http://127.0.0.1:7364 — first login: admin / penguin-2026
+penguin web        # http://127.0.0.1:7364 — first login: admin, initial password printed on first start
 ```
 
 Multi-session chat, agent and skill management, model configuration, usage and cost statistics, **Trace observability**, and an **evaluation center** — in the box, wired together, nothing to subscribe to and nothing to self-host separately. Every request, tool call and approval decision is already recorded; a session restores completely from its trace. There is no tracing SDK to install because there is no seam to instrument across.

packages/landing/content/blog/easiest-way-to-build-ai-agents-2026.zh.md

@@ -72,7 +72,7 @@ LangChain 自己也把遗留的 chain、retriever 和 hub 模块挪进了独立
 
 ```bash
 curl -fsSL https://penguin.ooo/install.sh | sh
-penguin web        # http://127.0.0.1:7364 — 首次登录：admin / penguin-2026
+penguin web        # http://127.0.0.1:7364 — 首次登录：admin，初始密码见首次启动输出
 ```
 
 多会话对话、Agent 与技能管理、模型配置、用量与成本统计、**Trace 可观测**、**评测中心**，开箱即有，彼此已经打通，**不用订阅什么，也不用另外自建什么**。每个请求、每次工具调用、每个审批决策都已经记下来了，会话可以从 Trace 完整恢复。**这里没有追踪 SDK 要接，因为根本不存在需要跨越的接缝。**

packages/landing/content/blog/fireworks-credits-amd.en.md

@@ -65,7 +65,7 @@ With the API key in hand, three steps:
 
 ```bash
 curl -fsSL https://penguin.ooo/install.sh | sh
-penguin web        # opens http://127.0.0.1:7364 (first login: admin / penguin-2026)
+penguin web        # opens http://127.0.0.1:7364 (first login: admin, initial password printed on first start)
 ```
 
 **2. Configure a Fireworks model**

packages/landing/content/blog/fireworks-credits-amd.zh.md

@@ -65,7 +65,7 @@ AMD 会验证账户与申请资料，通常需要 **2–3 个工作日**；实
 
 ```bash
 curl -fsSL https://penguin.ooo/install.sh | sh
-penguin web        # 打开 http://127.0.0.1:7364（首次登录：admin / penguin-2026）
+penguin web        # 打开 http://127.0.0.1:7364（首次登录：admin，初始密码见首次启动输出）
 ```
 
 **2. 配置 Fireworks 模型**

packages/landing/content/blog/introducing-penguinharness.en.md

@@ -92,7 +92,7 @@ Install with one command (Linux / macOS, x64 / arm64, bundled Node runtime), the
 
 ```bash
 curl -fsSL https://penguin.ooo/install.sh | sh
-penguin web        # opens http://127.0.0.1:7364 (first login: admin / penguin-2026)
+penguin web        # opens http://127.0.0.1:7364 (first login: admin, initial password printed on first start)
 ```
 
 Open the Models page, paste an API key under the DeepSeek or OpenRouter group and set it as default; then head back to Chat and hand the Agent its first task — e.g. "Analyze data.csv and summarize quarterly sales".

packages/landing/content/blog/introducing-penguinharness.zh.md

@@ -92,7 +92,7 @@ Token 与成本均为全套题目合计，不是单次均值。数据分析套
 
 ```bash
 curl -fsSL https://penguin.ooo/install.sh | sh
-penguin web        # 打开 http://127.0.0.1:7364（首次登录：admin / penguin-2026）
+penguin web        # 打开 http://127.0.0.1:7364（首次登录：admin，初始密码见首次启动输出）
 ```
 
 进入「模型仓库」页，在 DeepSeek 或 OpenRouter 分组里粘贴 API key 并设为默认；回到对话页，把第一个任务交给 Agent——例如「分析 data.csv，输出各季度销售额汇总」。