docs: bump to 0.6.2 — SKILL.md 全文中文化（市场概述页中文展示）

Author: 所念

.github/ISSUE_TEMPLATE/bug_report.md

@@ -30,7 +30,7 @@ What actually happened. Include the full traceback if any.
 
 ## Environment
 
-- VidkNot version (e.g. `v0.6.1`): <!-- run `python -m vidknot --version` -->
+- VidkNot version (e.g. `v0.6.2`): <!-- run `python -m vidknot --version` -->
 - Python version (`python --version`):
 - OS (macOS / Linux / Windows + version):
 - FFmpeg version (`ffmpeg -version | head -1`):

CHANGELOG.md

@@ -5,6 +5,20 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.6.2] - 2026-08-31
+
+### 市场概述页中文化
+
+### Changed
+
+- **`SKILL.md` 全文中文化**：市场「概述」页直接渲染 SKILL.md 正文，
+  此前正文为英文导致用户看到全英文页面；现已全部译为中文
+  （使用指引、边界条件、快速开始、接口形态、MCP 用法、配置、
+  示例、架构图、文件清单、版本规则、许可证），
+  frontmatter description 保持中文不变
+- 全量版本位点同步至 `v0.6.2`（pyproject / _version / install.sh /
+  SECURITY / issue 模板 / README 双语 / SKILL.md 快速开始安装命令）
+
 ## [0.6.1] - 2026-08-31
 
 ### 修复时长格式化崩溃 + 展示信息中文化

README.en.md

@@ -1,6 +1,6 @@
 # VidkNot
 
-VidkNot is a **general research platform framework** (v0.6.1) that extracts knowledge from **11+ self-media platforms** (YouTube, Bilibili, Douyin, Xiaohongshu, Kuaishou, TikTok, Twitter/X, Instagram, WeChat Channels, Weibo, Vimeo). It downloads audio, transcribes speech via dual-ASR cross-validation, generates Markdown notes, and saves them to Obsidian, Feishu, Notion, or Yuque. v0.4.0 added pluggable storage backends, an async periodic scheduler, a batch runner, and a credential-leak-proof subscription source loader; v0.5.0 added Standard Agent Skill compliance (SKILL.md + `--demo` mode + `scripts/install.sh`); v0.6.0 adds unified retry/timeout configuration, a bundled-FFmpeg optional extra, actionable error hints with a friendly CLI error path, and domestic-mirror install support; v0.6.1 fixes a video-duration formatting crash and localizes marketplace display copy to Chinese.
+VidkNot is a **general research platform framework** (v0.6.2) that extracts knowledge from **11+ self-media platforms** (YouTube, Bilibili, Douyin, Xiaohongshu, Kuaishou, TikTok, Twitter/X, Instagram, WeChat Channels, Weibo, Vimeo). It downloads audio, transcribes speech via dual-ASR cross-validation, generates Markdown notes, and saves them to Obsidian, Feishu, Notion, or Yuque. v0.4.0 added pluggable storage backends, an async periodic scheduler, a batch runner, and a credential-leak-proof subscription source loader; v0.5.0 added Standard Agent Skill compliance (SKILL.md + `--demo` mode + `scripts/install.sh`); v0.6.0 adds unified retry/timeout configuration, a bundled-FFmpeg optional extra, actionable error hints with a friendly CLI error path, and domestic-mirror install support; v0.6.1 fixes a video-duration formatting crash and localizes marketplace display copy to Chinese; v0.6.2 fully translates SKILL.md into Chinese so the marketplace overview page displays in Chinese.
 
 [![GitHub Release](https://img.shields.io/github/v/release/suonian/vidknot)](https://github.com/suonian/vidknot/releases)
 [![License](https://img.shields.io/github/license/suonian/vidknot.svg)](LICENSE)
@@ -27,7 +27,7 @@ VidkNot is a **general research platform framework** (v0.6.1) that extracts know
 | Twitter / X | Short video | ✅ Stable via yt-dlp |
 | Instagram (Reels) | Short video | ✅ Stable via yt-dlp |
 | WeChat Channels (视频号) | Short video | ⚠️ Reserved (closed WeChat ecosystem; export via packet-capture tools, then use local batch mode) |
-| Xiaohongshu (Image notes) | Image gallery | ✅ 4 bugs fixed in v0.3.3 (still active in v0.6.1) |
+| Xiaohongshu (Image notes) | Image gallery | ✅ 4 bugs fixed in v0.3.3 (still active in v0.6.2) |
 | Xiaohongshu (Video notes) | Short video | ✅ Direct-link extraction from `__INITIAL_STATE__` |
 | Kuaishou, Weibo | Short video | ⚠️ Framework ready, depends on yt-dlp support |
 | Any yt-dlp-supported site | Mixed | ✅ GenericPlatform fallback |
@@ -52,14 +52,14 @@ See [docs/PLATFORMS.md](docs/PLATFORMS.md) for the full capability matrix
 > macOS: `brew install ffmpeg` | Ubuntu: `sudo apt install ffmpeg` | Windows: `winget install Gyan.FFmpeg`
 >
 > **Don't want a system FFmpeg?** Use the bundled static build (binary ships in the wheel, works offline):
-> `pip install "vidknot[bundled-ffmpeg] @ git+https://github.com/suonian/vidknot.git@v0.6.1"`
+> `pip install "vidknot[bundled-ffmpeg] @ git+https://github.com/suonian/vidknot.git@v0.6.2"`
 >
 > Environment self-check: `python -m vidknot --check-env` (prints install commands for anything missing)
 
-The current GitHub release is `v0.6.1`. Install from GitHub:
+The current GitHub release is `v0.6.2`. Install from GitHub:
 
 ```bash
-pip install "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.1"
+pip install "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.2"
 ```
 
 > 🇨🇳 **Mainland China note**: if GitHub is slow, point pip at a domestic
@@ -68,7 +68,7 @@ pip install "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.1"
 >
 > ```bash
 > pip install -i https://pypi.tuna.tsinghua.edu.cn/simple \
->   "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.1"
+>   "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.2"
 > ```
 >
 > The one-line `scripts/install.sh` auto-detects and switches to the

README.md

@@ -1,6 +1,6 @@
 # VidkNot
 
-视频知识提取与研究平台（v0.6.1 通用研究平台框架）。从 **11+ 自媒体平台**（YouTube、B 站、抖音、小红书、快手、TikTok、Twitter/X、Instagram、微信视频号、微博、Vimeo）提取视频笔记：下载音频、双 ASR 交叉校验、生成结构化笔记，保存到 Obsidian、飞书、Notion、语雀。v0.4.0 新增可插拔存储后端、异步周期调度器、批处理 driver 和凭证注入保护的订阅源加载器；v0.5.0 新增标准 Agent Skill 合规（SKILL.md + `--demo` 模式 + `scripts/install.sh`）；v0.6.0 新增统一重试/超时配置、内置 FFmpeg 可选依赖（`[bundled-ffmpeg]`）、异常修正建议（hint）与 CLI 友好错误、国内镜像安装支持；v0.6.1 修复视频时长格式化崩溃，市场展示信息中文化。
+视频知识提取与研究平台（v0.6.2 通用研究平台框架）。从 **11+ 自媒体平台**（YouTube、B 站、抖音、小红书、快手、TikTok、Twitter/X、Instagram、微信视频号、微博、Vimeo）提取视频笔记：下载音频、双 ASR 交叉校验、生成结构化笔记，保存到 Obsidian、飞书、Notion、语雀。v0.4.0 新增可插拔存储后端、异步周期调度器、批处理 driver 和凭证注入保护的订阅源加载器；v0.5.0 新增标准 Agent Skill 合规（SKILL.md + `--demo` 模式 + `scripts/install.sh`）；v0.6.0 新增统一重试/超时配置、内置 FFmpeg 可选依赖（`[bundled-ffmpeg]`）、异常修正建议（hint）与 CLI 友好错误、国内镜像安装支持；v0.6.1 修复视频时长格式化崩溃，市场展示信息中文化；v0.6.2 SKILL.md 全文中文化（市场概述页中文展示）。
 
 [![GitHub Release](https://img.shields.io/github/v/release/suonian/vidknot)](https://github.com/suonian/vidknot/releases)
 [![License](https://img.shields.io/github/license/suonian/vidknot.svg)](LICENSE)
@@ -27,7 +27,7 @@
 | Twitter / X | 短视频 | ✅ yt-dlp 稳定支持 |
 | Instagram | Reels | ✅ yt-dlp 稳定支持 |
 | 微信视频号 | 短视频 | ⚠️ 预留接口（微信封闭生态，需抓包工具导出后走本地批处理） |
-| 小红书（图片笔记） | 图集 | ✅ v0.3.3 修复 4 个 Bug（v0.6.1 仍生效）|
+| 小红书（图片笔记） | 图集 | ✅ v0.3.3 修复 4 个 Bug（v0.6.2 仍生效）|
 | 小红书（视频笔记） | 短视频 | ✅ 从 `__INITIAL_STATE__` 拿无水印直链 |
 | 快手、微博 | 短视频 | ⚠️ 框架已就位，依赖 yt-dlp |
 | 任何 yt-dlp 支持的站点 | 混合 | ✅ GenericPlatform 兜底 |
@@ -52,22 +52,22 @@
 > macOS: `brew install ffmpeg` | Ubuntu: `sudo apt install ffmpeg` | Windows: `winget install Gyan.FFmpeg`
 >
 > **不想装系统 FFmpeg？** 使用内置静态版本（wheel 自带二进制，离线可用）：
-> `pip install "vidknot[bundled-ffmpeg] @ git+https://github.com/suonian/vidknot.git@v0.6.1"`
+> `pip install "vidknot[bundled-ffmpeg] @ git+https://github.com/suonian/vidknot.git@v0.6.2"`
 >
 > 环境自检：`python -m vidknot --check-env`（会给出缺失项的安装命令）
 
-当前 GitHub 版本为 `v0.6.1`。从 GitHub 安装：
+当前 GitHub 版本为 `v0.6.2`。从 GitHub 安装：
 
 ```bash
-pip install "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.1"
+pip install "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.2"
 ```
 
 > 🇨🇳 **大陆网络提示**：如访问 GitHub 缓慢，可给 pip 指定国内镜像加速依赖下载
 > （Git 仓库本身仍需可达，可用 `git clone` 镜像站或代理）：
 >
 > ```bash
 > pip install -i https://pypi.tuna.tsinghua.edu.cn/simple \
->   "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.1"
+>   "vidknot @ git+https://github.com/suonian/vidknot.git@v0.6.2"
 > ```
 >
 > 一键脚本 `scripts/install.sh` 会自动探测并切换到清华镜像。

SECURITY.md

@@ -16,7 +16,7 @@ Use one of these private channels instead:
 
 - GitHub Security Advisories: <https://github.com/suonian/vidknot/security/advisories/new>
 - Email: see the latest maintainer contact published in `git log --format='%ae'` for the
-  latest tagged commit (e.g. `v0.6.1`).
+  latest tagged commit (e.g. `v0.6.2`).
 
 When reporting, please include: