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Bangumi

skill-kasuganosora-bangumi-skill-skill · by kasuganosora

Manage Bangumi (番组计划) anime tracking. Use this skill whenever the user mentions anime tracking, Bangumi, 番组计划, bgm.tv, wants to search for anime, mark episodes as watched, manage their watchlist, view daily broadcast schedules, check their collection, or explore anime characters and voice actors (声优). Also trigger for requests involving anime progress tracking, rating anime, or finding new anime…

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Install

$ agentstack add skill-kasuganosora-bangumi-skill-skill

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Bangumi Skill

通过 skill/bangumi (Linux/macOS) 或 skill/bangumi.exe (Windows) 命令行工具管理 Bangumi (bgm.tv) 账号

⚡ 核心原则

1. 直接传名字,不要先搜索再标记!

# ✅ 正确 — 一条命令搞定
skill/bangumi collection update "史上最强的大魔王转生为村民A" --type 3
skill/bangumi collection update-episode "史上最强的大魔王转生为村民A" --ep 1 --type 2

# ❌ 错误 — 不要这样!
skill/bangumi search subjects "xxx"    # ← 不需要!
skill/bangumi collection update 12345 --type 3  # ← 多此一举!

2. "标记在看第N话" = 两条命令:

skill/bangumi collection update "作品名" --type 3           # 标记在看
skill/bangumi collection update-episode "作品名" --ep N --type 2  # 标记第N话看过

3. 名称找不到时先搜索确认:

skill/bangumi search subjects "关键词" --limit 3   # 确认准确名称

前置条件

skill/bangumi auth login --token 

令牌申请: https://next.bgm.tv/demo/access-token

> 令牌失效时 CLI 自动清除并提示重新设置。

可选配置

skill/bangumi config proxy http://127.0.0.1:1081
skill/bangumi config timeout 60

全局标志

  • --proxy — HTTP 代理
  • --token — 令牌(覆盖 token.json)
  • --output json — JSON 输出(默认 AI 友好文本)
  • -v / --debug — 日志

命令参考

搜索

skill/bangumi search subjects "AIR" --sort rank --limit 5
skill/bangumi search subjects --filter-type 2 --filter-air-date ">=2026-05-01" --sort rank
skill/bangumi search subjects --filter-rating ">=7" --sort score --limit 10
skill/bangumi search characters "神尾观铃"
skill/bangumi search persons "神尾观铃"

| 参数 | 说明 | |------|------| | --filter-type 1/2/3/4/6 | 书籍/动画/音乐/游戏/三次元 | | --filter-air-date ">=2026-05-01" | 播出日期 | | --filter-rating ">=7" | 评分筛选 | | --filter-rank " ⚠️ collection 子命令的 参数接受的是**用户名**(如 sai`),不是用户ID数字。

章节

skill/bangumi episode list "AIR"                # 全部章节
skill/bangumi episode list --id 12 --type 0     # 仅本篇
skill/bangumi episode get 

角色

skill/bangumi character get "神尾观铃"          # 详情 + 出演作品 + 声优(一次返回聚合数据)
skill/bangumi character subjects "神尾观铃"     # 仅出演作品
skill/bangumi character persons "神尾观铃"      # 仅声优
skill/bangumi character collect "神尾观铃"      # 收藏(需令牌)
skill/bangumi character uncollect "神尾观铃"    # 取消收藏

> 注意: character get 会自动附带该角色的出演作品列表和声优列表,无需再单独调用 subjects/persons。

人物(声优/导演)

skill/bangumi person get "神尾观铃"             # 详情 + 参与作品 + 配音角色(一次返回聚合数据)
skill/bangumi person subjects "神尾观铃"        # 仅参与作品
skill/bangumi person characters "神尾观铃"      # 仅配音角色
skill/bangumi person collect "神尾观铃"         # 收藏

> 注意: person get 会自动附带该人物的参与作品列表和配音角色列表,无需再单独调用 subjects/characters。

用户

skill/bangumi user me                           # 当前用户
skill/bangumi user get sai                      # 指定用户

目录

skill/bangumi index create "推荐" --desc "列表"
skill/bangumi index add-subject   --comment "备注"
skill/bangumi index subjects 
skill/bangumi index collect 

注意事项

  • 所有名称搜索取第一个匹配结果,用 --id 精确指定
  • update-episode --ep N 自动查找章节 ID,无需手动查
  • calendar 无需令牌,其他命令需令牌
  • 长文本用 --comment-file 从文件读取

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.