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skill-workshop/proposals.json
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{"schema":"openclaw.skill-workshop.proposals-manifest.v1","updatedAt":"2026-07-06T09:04:18.526Z","proposals":[{"id":"f-download-sorter-20260706-902cc0d5aa","kind":"create","status":"applied","title":"Create f-download-sorter","description":"整理 /mnt/f 下下载的视频文件：扫描→清垃圾→按规则归档到7个大类目录","skillName":"f-download-sorter","skillKey":"f-download-sorter","createdAt":"2026-07-06T09:03:54.941Z","updatedAt":"2026-07-06T09:04:18.513Z","scanState":"clean"},{"id":"jellyfin-nfo-builder-20260701-6434352e0d","kind":"create","status":"pending","title":"Create jellyfin-nfo-builder","description":"为剧集整理统一文件名、生成缺失的 Jellyfin .nfo 剧集元数据","skillName":"jellyfin-nfo-builder","skillKey":"jellyfin-nfo-builder","createdAt":"2026-07-01T23:52:24.406Z","updatedAt":"2026-07-01T23:52:24.406Z","scanState":"clean"},{"id":"weekly-report-g5-20260626-7595273f1d","kind":"create","status":"applied","title":"Create weekly-report-g5","description":"维云智造G5周报生成：整理每日工作→多段邮件(纯文本+HTML含签名图)→存入钉邮草稿箱","skillName":"weekly-report-g5","skillKey":"weekly-report-g5","createdAt":"2026-06-26T00:46:22.478Z","updatedAt":"2026-06-26T00:46:35.812Z","scanState":"clean"},{"id":"calibre-cleaner-20260624-0fc374efd7","kind":"update","status":"pending","title":"Update calibre-cleaner","description":"清洗 Calibre 书库：修复损坏书名/提取作者/检测编码损坏、小文件的批量删除","skillName":"calibre-cleaner","skillKey":"calibre-cleaner","createdAt":"2026-06-24T03:23:27.062Z","updatedAt":"2026-06-24T03:23:27.062Z","scanState":"clean"},{"id":"calibre-cleaner-20260624-cdbeb219a3","kind":"update","status":"applied","title":"Update calibre-cleaner","description":"清洗 Calibre 书库：修复损坏书名/提取作者/检测编码损坏、小文件的批量删除","skillName":"calibre-cleaner","skillKey":"calibre-cleaner","createdAt":"2026-06-24T03:03:28.166Z","updatedAt":"2026-06-24T03:03:30.915Z","scanState":"clean"},{"id":"calibre-cleaner-20260624-a441798af9","kind":"create","status":"applied","title":"Create calibre-cleaner","description":"清洗 Calibre 书库：修复损坏书名/提取作者/检测编码损坏、小文件的批量删除","skillName":"calibre-cleaner","skillKey":"calibre-cleaner","createdAt":"2026-06-24T02:29:02.278Z","updatedAt":"2026-06-24T02:29:27.227Z","scanState":"clean"},{"id":"calibre-title-cleaner-20260624-3760b64e8b","kind":"create","status":"applied","title":"Create calibre-title-cleaner","description":"清洗 Calibre 书库中损坏的 txt 文档书名（HTML标签/长文本/乱码/路径超限修复）","skillName":"calibre-title-cleaner","skillKey":"calibre-title-cleaner","createdAt":"2026-06-24T01:10:56.296Z","updatedAt":"2026-06-24T01:13:39.670Z","scanState":"clean"},{"id":"dianping-review-20260611-d402abec10","kind":"create","status":"pending","title":"Create dianping-review","description":"通过大众点评搜索查询餐厅、老店、美食推荐和评论","skillName":"dianping-review","skillKey":"dianping-review","createdAt":"2026-06-11T23:50:15.731Z","updatedAt":"2026-06-11T23:50:15.731Z","scanState":"clean"}]}
{"schema":"openclaw.skill-workshop.proposals-manifest.v1","updatedAt":"2026-07-07T12:14:43.092Z","proposals":[{"id":"jav-media-sorter-20260707-b1f90c8a4d","kind":"create","status":"pending","title":"Create jav-media-sorter","description":"JAV 视频整理：组装文件、按演员分组、刮削 nfo 元数据与封面图","skillName":"jav-media-sorter","skillKey":"jav-media-sorter","createdAt":"2026-07-07T12:14:43.074Z","updatedAt":"2026-07-07T12:14:43.074Z","scanState":"clean"},{"id":"f-download-sorter-20260706-902cc0d5aa","kind":"create","status":"applied","title":"Create f-download-sorter","description":"整理 /mnt/f 下下载的视频文件：扫描→清垃圾→按规则归档到7个大类目录","skillName":"f-download-sorter","skillKey":"f-download-sorter","createdAt":"2026-07-06T09:03:54.941Z","updatedAt":"2026-07-06T09:04:18.513Z","scanState":"clean"},{"id":"jellyfin-nfo-builder-20260701-6434352e0d","kind":"create","status":"pending","title":"Create jellyfin-nfo-builder","description":"为剧集整理统一文件名、生成缺失的 Jellyfin .nfo 剧集元数据","skillName":"jellyfin-nfo-builder","skillKey":"jellyfin-nfo-builder","createdAt":"2026-07-01T23:52:24.406Z","updatedAt":"2026-07-01T23:52:24.406Z","scanState":"clean"},{"id":"weekly-report-g5-20260626-7595273f1d","kind":"create","status":"applied","title":"Create weekly-report-g5","description":"维云智造G5周报生成：整理每日工作→多段邮件(纯文本+HTML含签名图)→存入钉邮草稿箱","skillName":"weekly-report-g5","skillKey":"weekly-report-g5","createdAt":"2026-06-26T00:46:22.478Z","updatedAt":"2026-06-26T00:46:35.812Z","scanState":"clean"},{"id":"calibre-cleaner-20260624-0fc374efd7","kind":"update","status":"pending","title":"Update calibre-cleaner","description":"清洗 Calibre 书库：修复损坏书名/提取作者/检测编码损坏、小文件的批量删除","skillName":"calibre-cleaner","skillKey":"calibre-cleaner","createdAt":"2026-06-24T03:23:27.062Z","updatedAt":"2026-06-24T03:23:27.062Z","scanState":"clean"},{"id":"calibre-cleaner-20260624-cdbeb219a3","kind":"update","status":"applied","title":"Update calibre-cleaner","description":"清洗 Calibre 书库：修复损坏书名/提取作者/检测编码损坏、小文件的批量删除","skillName":"calibre-cleaner","skillKey":"calibre-cleaner","createdAt":"2026-06-24T03:03:28.166Z","updatedAt":"2026-06-24T03:03:30.915Z","scanState":"clean"},{"id":"calibre-cleaner-20260624-a441798af9","kind":"create","status":"applied","title":"Create calibre-cleaner","description":"清洗 Calibre 书库：修复损坏书名/提取作者/检测编码损坏、小文件的批量删除","skillName":"calibre-cleaner","skillKey":"calibre-cleaner","createdAt":"2026-06-24T02:29:02.278Z","updatedAt":"2026-06-24T02:29:27.227Z","scanState":"clean"},{"id":"calibre-title-cleaner-20260624-3760b64e8b","kind":"create","status":"applied","title":"Create calibre-title-cleaner","description":"清洗 Calibre 书库中损坏的 txt 文档书名（HTML标签/长文本/乱码/路径超限修复）","skillName":"calibre-title-cleaner","skillKey":"calibre-title-cleaner","createdAt":"2026-06-24T01:10:56.296Z","updatedAt":"2026-06-24T01:13:39.670Z","scanState":"clean"},{"id":"dianping-review-20260611-d402abec10","kind":"create","status":"pending","title":"Create dianping-review","description":"通过大众点评搜索查询餐厅、老店、美食推荐和评论","skillName":"dianping-review","skillKey":"dianping-review","createdAt":"2026-06-11T23:50:15.731Z","updatedAt":"2026-06-11T23:50:15.731Z","scanState":"clean"}]}
skill-workshop/proposals/jav-media-sorter-20260707-b1f90c8a4d/PROPOSAL.md
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---
name: "jav-media-sorter"
description: "JAV 视频整理：组装文件、按演员分组、刮削 nfo 元数据与封面图"
status: proposal
version: "v1"
date: "2026-07-07T12:14:43.074Z"
---
# JAV 媒体整理与元数据刮削技能
将 qbittorrent 下载完成的 JAV 视频（ mp4 + srt + nfo ）文件整理成 `/mnt/f/av/` 格式，按演员分类，并尝试刮削封面图。
## 目录结构规范
目标格式（参考 `/mnt/f/av/`）：
```
/mnt/f/av/
├── 演员名/
│ ├── 番号-C 演员名/ ← 如果已有番号-C 目录则保留原名
│ │ ├── 番号.mp4
│ │ ├── 番号.chs.srt
│ │ ├── 番号.nfo
│ │ ├── poster.jpg
│ │ └── fanart.jpg
│ └── ...
├── 未知演员/
│ └── ...
```
另一套目录结构（参考 `/mnt/e/01_automated/日本电影/`）：
```
/mnt/e/01_automated/日本电影/
├── 演员名/
│ ├── 番号 演员名/
│ │ ├── 番号.mp4
│ │ ├── 番号.nfo
│ │ ├── 番号-poster.jpg
│ │ └── 番号-thumb.jpg
│ └── ...
```
## 前置条件
- Clash 代理运行在 Docker（端口 7443，认证 `proxy:5gynj20J`）
- FlareSolverr 运行在 Docker（已下线，按需启动）
- Python3（用于 nfo 和整理脚本）
- Docker（FlareSolverr + Clash）
## 操作流程
### 1. 检查下载目录
```bash
ls /mnt/f/qbittorrent/failed/
```
通常结构是 `failed/` 目录下平铺所有 mp4、srt（.chs.srt）、nfo 文件。
### 2. 按演员创建目标文件夹
在 `failed/` 目录内创建 `番号-C 演员名/` 文件夹，方便手动拖到 `/mnt/f/av/` 中对应演员目录。
```bash
cd /mnt/f/qbittorrent/failed
mkdir -p "ADN-016-C 明日見未来"
# ... 以此类推
```
### 3. 按演员分组（移动目录到演员子目录）
若目录直接放在 `/mnt/f/av/` 根目录下，需要移动到对应演员子目录：
```bash
cd /mnt/f/av
mkdir -p "明日見未来"
mv "ADN-016-C 明日見未来" "明日見未来/"
# ... 以此类推
```
### 4. 读取 nfo 获取演员信息
每个作品的 nfo 文件包含元数据，用 Python 解析：
```python
import xml.etree.ElementTree as ET
tree = ET.parse('番号.nfo')
root = tree.getroot()
actors = [a.find('name').text for a in root.findall('actor')]
dvd_id = root.find('num').text
```
### 5. 封面图刮削
尝试从以下来源下载封面图：
#### 5.1 FlareSolverr + Clash 代理（首选）
```bash
FLARE="http://127.0.0.1:8191/v1"
CLASH_PROXY="http://proxy:***@host.docker.internal:7443"
# FlareSolverr API 请求格式
curl -s "$FLARE" -d '{
"cmd":"request.get",
"url":"https://javdb.com/search?q=番号&f=all",
"maxTimeout":45000,
"proxy":{"url":"'$CLASH_PROXY'"}
}' -H "Content-Type: application/json"
```
从返回的 JSON 中提取 `solution.response` 中的 HTML，解析出：
- 详情页链接 `href="/v/xxx"`
- 详情页中 `class="video-cover"` 的 `src` 属性（封面图片 URL）
然后通过 Clash 代理下载图片：
```bash
curl -x "http://proxy:***@127.0.0.1:7443" -s -L -o "poster.jpg" \
-H "Referer: https://javdb.com/" "$POSTER_URL"
```
#### 5.2 备用：Python socks5 直连
```python
import socks, socket
socks.set_default_proxy(socks.SOCKS5, "127.0.0.1", 7443,
username="proxy", password="***", rdns=True)
socket.socket = socks.socksocket
import urllib.request, re
req = urllib.request.Request("https://javdb.com", headers={
"User-Agent": "Mozilla/5.0"})
```
#### 5.3 已知限制
- JavDB 有 Cloudflare 反爬，Python `requests`/`cloudscraper` 均可能被拦截
- FlareSolverr 走 HTTP 代理时可能无法完成 Cloudflare JS 挑战
- FANZA/DMM 图片 CDN 返回小图（~3KB），真实大图需 JS 渲染
- 最可靠方案：**Windows 端浏览器手动下载**
### 6. 图片命名规则
- `/mnt/f/av/` 格式： `poster.jpg` + `fanart.jpg`（两图相同）
- `/mnt/e/01_automated/日本电影/` 格式： `番号-poster.jpg` + `番号-thumb.jpg`
## 注意事项
- **WSL 操作 /mnt 文件极慢**：大量小文件操作应在 Windows 原生 Python 中执行
- **代理密码注意 shell 展开**：Clash 密码 `5gynj20J` 在 bash 中写为 `"proxy:*"`（用双引号避免 `***` 展开）
- **FlareSolverr 密码兼容性**：SOCKS5 代理认证不支持通过环境变量传递。HTTP 代理用 `proxy` 参数
- **Clash 端口**：mixed-port 7443，同时支持 HTTP 和 SOCKS5
- **删除冗余的字幕目录**：`*-中文字幕/` 目录中的 `.srt` 与 `failed/` 目录中的 `.chs.srt` 多数是重复文件（MD5 一致）
## 依赖检查
```bash
# FlareSolverr
docker ps | grep flaresolverr
# Clash
docker ps | grep clash
# Python
python3 --version
pip3 list 2>/dev/null | grep -i cloudscraper
```
skill-workshop/proposals/jav-media-sorter-20260707-b1f90c8a4d/proposal.json
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workspace-attestations/b7bc825f1ed54245663ac357564ad4f39678451d147525a2c689c68dd0bb7882.attested
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openclaw-workspace-attestation:v1
2026-07-07T11:54:28.001Z
2026-07-07T12:50:40.316Z