Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add redfox-data/redfox-community-dsh --skill bilibili-commentgit clone --depth 1 https://github.com/redfox-data/redfox-community-dshWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/redfox-data/redfox-community-dsh/bilibili-comment)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/bilibili-comment"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/bilibili-comment/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/bilibili-comment"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/bilibili-comment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00104 | $0.01639 |
| Opus 5 | $0.00052 | $0.00820 |
| Sonnet 5 | $0.00021 | $0.00328 |
| Haiku 4.5 | $0.00010 | $0.00164 |
Grade A, and why
bilibili-comment scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
技术栈：Python 标准库（`urllib`），无需额外安装依赖。 How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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：
- 作品详情（标题、UP主、播放量、点赞等核心数据）
- 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）
- 四维情感分析（积极/负面/需求/竞品，各附代表评论）
- 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 |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 129 lines · 104 tokens per session scan A cce55904c617
bilibili-comment is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed yesterday), licensed MIT. It adds 104 tokens to every session and 1,639 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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