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Bilibili Comment

Community
redfox-data
bilibili-comment

B站评论分析工具。输入B站视频链接或BV号即可获取一级评论数据，支持分页浏览、评论情感分析（积极/负面/需求/竞品），生成精美 HTML 报告。当用户需要查看B站视频评论、分析评论舆情、了解用户反馈时使用。触发词：B站评论、B站视频评论、评论查询、评论分析、评论舆情、看评论、bilibili评论。

Overview

Publisherredfox-data
Repositoryredfox-community
Skill namebilibili-comment
Stars
449
Forks
59
Bundled files
5
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by redfox-data on GitHub. Read the source before you install it.

Installation

Install the Bilibili Comment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/redfox-data/redfox-community/tree/main/skills/bilibili-comment
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/redfox-data/redfox-community.git /tmp/redfox-community
mkdir -p .claude/skills
cp -r /tmp/redfox-community/skills/bilibili-comment .claude/skills/bilibili-comment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bilibili Comment in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bilibili Comment on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bilibili Comment is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

B站评论分析

简介

B站评论分析是一款专为内容创作者、UP主、品牌运营和研究人员设计的智能评论洞察工具。输入任意B站视频链接或BV号，即可一键获取评论数据，并通过四维情感分析（积极/负面/需求/竞品）快速了解用户真实反馈，同时生成可离线保存的交互式 HTML 报告。

通过本技能，你可以：

  • 📊 逐页获取视频一级评论（每页20条，支持翻页）
  • 🤖 AI 自动完成四维情感分析，理解B站梗文化
  • 📋 生成深色主题交互式 HTML 报告，便于保存与分享

适用于 UP主复盘、品牌舆情监测、竞品分析、内容策略研究等场景。

功能特性

核心功能

  • 评论获取：粘贴视频链接或BV号即可拉取最新评论数据
  • 分页浏览：每页20条，支持前后翻页，逐步浏览大量评论
  • 四维 AI 分析：积极/负面/需求/竞品四类情感分析，各维度附代表评论引用
  • 置顶标记：置顶评论特殊标识，一眼识别重要内容
  • HTML 报告：深色主题交互式报告，支持离线保存与分享

特色亮点

  • B站梗文化理解：识别弹幕术语、缩写（awsl / yyds / xswl / 爷青回 等）及热门梗的真实语境
  • 数据完整展示：作品详情（播放/点赞/投币/收藏/弹幕等）与评论表格全量展示，不截断
  • 编码安全回填：智能编码保障，中文分析内容完整无误地注入报告

鉴权

  • 获取 API Key：前往 红狐hub
  • 配置方式1：写入 ~/.openclaw/openclaw.json → { "env": { "REDFOX_API_KEY": "ak_xxxx..." } }
  • 配置方式2：终端执行 export REDFOX_API_KEY="ak_xxxx..."

工作流程

核心执行流程详见 references/core_workflow.md

使用指南

直接用自然语言说出视频链接或BV号即可，无需记忆固定命令。

常用说法速查

意图示例话术效果
查看视频评论「查看B站视频 BV1xx411c7mD 的评论」获取第1页评论 + AI总结
通过链接查询粘贴 https://www.bilibili.com/video/BV1xx411c7mD自动提取BV号并拉取评论
翻页「下一页」「第3页」沿用当前视频，获取指定页评论
生成报告「需要」「生成HTML」回填AI分析，生成交互式HTML报告

输出示例

完成查询后，你将依次收到：

  1. 作品详情（标题、UP主、播放量、点赞等核心数据）
  2. 评论表格（当前页全部评论，含昵称链接、内容、点赞数、时间、IP属地）
  3. 四维情感分析（积极/负面/需求/竞品，各附代表评论）
  4. 询问是否生成 HTML 报告

使用场景

场景角色示例问法收益
内容复盘UP主「看看这个视频的评论怎么样」快速了解观众反馈，优化选题策略
舆情监测品牌运营「分析这条视频的负面评论」及时发现危机信号，制定应对方案
竞品分析内容策划「分析竞品视频的用户评论」了解竞品优劣势，找准差异化方向
用户研究产品经理「看看用户在评论区提了哪些需求」挖掘真实需求，指导产品迭代

项目架构

bilibili-comment/
├── SKILL.md                    # 技能配置与使用说明
├── references/
│   └── core_workflow.md        # Agent 核心执行流程
├── assets/
│   └── report_template.html    # HTML 报告模板
└── scripts/
    ├── bili_comment_search.py  # 评论获取脚本（调用 API，自动生成 HTML）
    └── backfill_html.py        # AI 分析回填脚本（将分析结果写入 HTML）
模块职责
bili_comment_search.py调用红狐 API 获取评论数据，生成含占位符的 HTML 报告
backfill_html.py将 AI 四维分析 JSON 安全回填至 HTML 报告，支持文件直读模式
report_template.html深色主题交互式报告模板

技术栈：Python 标准库（urllib），无需额外安装依赖。

常见问答

安装相关

Q1: 如何获取 REDFOX_API_KEY？

A: 前往 红狐hub 注册账号并申请 API Key，按鉴权章节说明配置到本地环境变量。

Q2: 需要安装额外依赖吗？

A: 不需要。脚本使用 Python 标准库 urllib，Python 3.6+ 环境即可直接运行。

使用相关

Q3: 一次能获取多少条评论？

A: 每次调用获取1页（20条）。如需更多数据，通过翻页命令逐页获取，或前往 红狐平台 联系客服获取批量能力。

Q4: 支持获取二级评论（回复）吗？

A: 当前版本仅支持一级评论，二级回复暂不支持。

故障排除

Q5: HTML 报告中部分中文显示乱码（问号）怎么办？

A: 这是编码回填环节的兼容性问题。解决方案：用 Python 写入分析数据为 UTF-8 JSON 文件，再使用 backfill_html.py --json-file 直接读取回填。详见 references/core_workflow.md Step 3。

Q6: 如有其他问题如何获取帮助？

A: 前往 红狐平台 联系客服，或查阅技能文档。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bilibili Comment AI skill do?

B站评论分析工具。输入B站视频链接或BV号即可获取一级评论数据，支持分页浏览、评论情感分析（积极/负面/需求/竞品），生成精美 HTML 报告。当用户需要查看B站视频评论、分析评论舆情、了解用户反馈时使用。触发词：B站评论、B站视频评论、评论查询、评论分析、评论舆情、看评论、bilibili评论。

Why use Bilibili Comment on TypingMind?

Because you install it once and use it with any model. Bilibili Comment is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bilibili Comment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/redfox-data/redfox-community/tree/main/skills/bilibili-comment. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bilibili Comment?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bilibili Comment?

As many as you like. As long as a model supports skills, you can use Bilibili Comment with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bilibili Comment AI skill free?

It is published on GitHub by redfox-data. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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