diff --git a/src/finance/alphai-tui.yml b/src/finance/alphai-tui.yml
index e3fba5b4..8107b42f 100644
--- a/src/finance/alphai-tui.yml
+++ b/src/finance/alphai-tui.yml
@@ -3,8 +3,8 @@ homepage: https://alphai.io/tui
 license: MIT
 
 desc:
-  cn: 待作者补充（terminal stock dashboard with AI-scored news）
-  en: An open-source (MIT) terminal stock dashboard — live quotes / candlestick charts plus AI-scored news, SEC Form 4 insider filings, and earnings reads. (Author to expand.)
+  cn: 开源的 Bloomberg 风格终端股票看板：实时行情与 K 线图，旁边是 AI 评分的新闻、SEC Form 4 内部人交易和财报解读。基于 ratatui 的单个 Rust 二进制。
+  en: "Open-source, Bloomberg-style stock dashboard for the terminal: live quotes and candlestick charts next to AI-scored news, SEC Form 4 insider filings and earnings reads. One Rust binary built on ratatui."
 
 x:
   source: https://github.com/makeev/alphai-tui
@@ -25,16 +25,24 @@ rule:
   /aur:
     cmd: paru -S alphai-tui-bin
     reference: https://aur.archlinux.org/packages/alphai-tui-bin
+  ubuntu/apt:
+    cmd: |
+      sudo install -d -m 0755 /etc/apt/keyrings && \
+      sudo curl -fsSL https://makeev.github.io/alphai-tui-apt/alphai-tui.gpg -o /etc/apt/keyrings/alphai-tui.gpg && \
+      echo "deb [signed-by=/etc/apt/keyrings/alphai-tui.gpg] https://makeev.github.io/alphai-tui-apt stable main" | sudo tee /etc/apt/sources.list.d/alphai-tui.list && \
+      sudo apt update && sudo apt install alphai-tui
+    reference: https://makeev.github.io/alphai-tui-apt/
+  debian/apt:
+    cmd: |
+      sudo install -d -m 0755 /etc/apt/keyrings && \
+      sudo curl -fsSL https://makeev.github.io/alphai-tui-apt/alphai-tui.gpg -o /etc/apt/keyrings/alphai-tui.gpg && \
+      echo "deb [signed-by=/etc/apt/keyrings/alphai-tui.gpg] https://makeev.github.io/alphai-tui-apt stable main" | sudo tee /etc/apt/sources.list.d/alphai-tui.list && \
+      sudo apt update && sudo apt install alphai-tui
+    reference: https://makeev.github.io/alphai-tui-apt/
 
 binlist:
   - alphai-tui
 
-# Notes for the author:
-#   - footprint fields below are placeholder defaults — adjust to
-#     reflect the real network / disk / memory profile of the app.
-#   - rule /breakdown/ sub-keys (other targets / distro-specific
-#     installs) are welcome — see src/finance/mop.yml for the
-#     canonical pattern.
 # complicated
 footprint:
   behavior:
@@ -45,41 +53,44 @@ footprint:
       connect:
         localhost: false
         lan: false
-        internet: false
+        internet: true
     filesystem:
       read:
         desc:
-          cn: 读取配置文件
-          en: Reads config files
+          cn: 读取 ~/.config/alphai-tui/config.toml
+          en: Reads ~/.config/alphai-tui/config.toml
         sensitive: []
       write:
         desc:
-          cn: 写入缓存 / 用户数据
-          en: Writes cache / user data
-        sensitive: []
+          cn: 写入配置文件（含 API 密钥，权限 0600）和行情缓存 ~/.cache/alphai-tui/quotes.json
+          en: Writes the config file (holds API keys, mode 0600) and a quote cache at ~/.cache/alphai-tui/quotes.json
+        sensitive:
+          - ~/.config/alphai-tui/config.toml
   resource:
     disk:
       size:
         install:
-          estimate: 15 MB
+          estimate: 12 MB
           rating: 1
           desc:
-            cn: 约 15 MB（估算，待作者校准）
-            en: ~15 MB estimated (placeholder — author to verify)
+            cn: 约 12 MB（单个二进制，v0.22.0 x86_64 实测）
+            en: ~12 MB (single binary, measured on v0.22.0 x86_64)
       paths:
-        data: []
-        config: []
+        data:
+          - ~/.cache/alphai-tui
+        config:
+          - ~/.config/alphai-tui
     memory:
       idle:
-        estimate: 30 MB
+        estimate: 15 MB
         desc:
-          cn: 30 MB（估算，待作者校准）
-          en: 30 MB estimated (placeholder — author to verify)
+          cn: 约 15 MB RSS（三只股票的观察列表，v0.22.0 实测）
+          en: ~15 MB RSS with a three-ticker watchlist (measured on v0.22.0)
     cpu:
       workload: ['network', 'compute']
       processes: 1
       peak:
         rating: 2
         desc:
-          cn: 低（仅限本地渲染）
-          en: Low (local rendering only)
+          cn: 低（终端渲染与 JSON 解析）
+          en: Low (terminal rendering and JSON parsing)