Cybersecurity - #10
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Bundle 754 upstream cybersecurity skills under skills/cybersecurity with attribution and catalog metadata. Add summary/full prompt injection modes so large skill packs do not overflow the agent context window. Co-authored-by: Cursor <cursoragent@cursor.com>
- cli job 在 Linux/macOS(Intel+ARM)/Windows 编译 omninova CLI - 产物命名 omninova-<version>-<platform>，纳入 SHA256SUMS 与 Release 资产 Co-authored-by: Cursor <cursoragent@cursor.com>
Windows 上 Tauri 异步线程默认 ~1MiB 栈，序列化体积较大、嵌套较深的 Config 为 TOML 时会触发栈溢出导致进程闪退。改为在 Windows 下使用 8MiB 栈的专用线程执行 Config 保存；同时用 toml 序列化生成 active_workspace.toml，避免 Windows 路径反斜杠破坏 TOML，并让 expand_tilde_path 回退到 USERPROFILE。 Co-authored-by: Cursor <cursoragent@cursor.com>
v0.1.6.1 仅兜住了 Config::save() 一处。保存流程中反序列化命令入参、 setup_config_to_core 构建与 validate 配置等步骤仍跑在 Tauri 默认小栈 (~1MiB) 异步线程上，对超大且深度嵌套的 Config 做 serde (反)序列化时 仍会栈溢出 (0xC00000FD)。在 run() 最开始安装带 8MiB worker 栈的 tokio 运行时并 tauri::async_runtime::set，覆盖所有命令处理路径。 Co-authored-by: Cursor <cursoragent@cursor.com>
仅调大 tokio 异步运行时栈仍不够：Tauri 在反序列化命令入参、以及把命令 结果回传/序列化时使用 IPC/主线程，这些线程以 OS 默认栈大小创建 (PE SizeOfStackReserve，MSVC 默认约 1MiB)，对超大且深度嵌套的 Config 做 serde 时仍会栈溢出 (0xC00000FD)。在 build.rs 中为 windows-msvc 目标 通过 /STACK:8388608 将可执行文件默认栈预留量提升到 8MiB；以 0 栈大小 创建的线程(主线程、Tauri/wry 内部线程、IPC 回传线程)均继承该值，覆盖 全部 Config serde 路径。 Co-authored-by: Cursor <cursoragent@cursor.com>
- Isolate run state (sending/elapsed/steps), input drafts, cancel flags and timers per conversation so one running chat no longer affects others; allow true multi-conversation parallelism. - Add delete action for conversations (hover-reveal), always keep at least one; deleting a conversation cancels its in-flight task. Running conversations show a pulsing indicator in the list. - Design polish: layered shadow scale, accent gradient, refined focus states, custom scrollbars, animated message bubbles and send button. Co-authored-by: Cursor <cursoragent@cursor.com> (cherry picked from commit bda48a6)
Kafkacodes
approved these changes
Jun 26, 2026
Kafkacodes
approved these changes
Jun 26, 2026
Kafkacodes
approved these changes
Jun 26, 2026
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