kuaishou-comment

kuaishou-comment is a skill for Claude Code, Codex from redfox-data/redfox-community-dsh. It costs 92 tokens per session (2,416 once invoked), scanned A, original, MIT.

A tool for collecting and analyzing first-level comments on Kuaishou videos. It groups comments into positive reactions, negative reactions, user requests and competitor mentions, then creates an interactive HTML report.

In plain words
What is it for?
Use it to study audience sentiment, discover requests or complaints, identify competitor references and save or share comment-analysis reports.
Why use it?
It saves time when reviewing a large comment section and makes common types of audience feedback easier to spot. Comments can be retrieved page by page and combined into one report.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to study audience sentiment, discover requests or complaints, identify competitor references and save or share comment-analysis reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/redfox-data/redfox-community-dsh/kuaishou-comment
Install

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.

Any agent
npx skills add redfox-data/redfox-community-dsh --skill kuaishou-comment
Clone the repo
git clone --depth 1 https://github.com/redfox-data/redfox-community-dsh

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for kuaishou-comment

README.md
[![agentmods](https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/kuaishou-comment/github.svg)](https://agentmods.dev/skills/redfox-data/redfox-community-dsh/kuaishou-comment)
Your own site
<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/kuaishou-comment"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/kuaishou-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.

agentmods 80×15 button for kuaishou-comment

Your own site · 80×15
<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/kuaishou-comment"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/kuaishou-comment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,416 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00092 $0.02416
Opus 5 $0.00046 $0.01208
Sonnet 5 $0.00018 $0.00483
Haiku 4.5 $0.00009 $0.00242

Measured 10d ago against content hash 76692d4447d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

kuaishou-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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/backfill_html.py, scripts/consolidate_report.py, scripts/kuaishou_comment_search.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

脚本使用 urllib(Python 标准库),无需额外安装依赖。
skills/kuaishou-comment/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

快手评论分析

📝 简介

输入快手作品链接即可获取一级评论数据,每页 20 条,支持 cursor 游标分页翻页。在对话中展示当前页全部评论及 AI 总结分析,同时生成包含当前页数据和总结的交互式 HTML 报告。

✨ 功能特性

功能模块 能力描述 核心价值
评论获取 粘贴作品链接即可获取评论 实时拉取作品评论区数据
分页浏览 每页 20 条,cursor 游标翻页 逐页浏览大量评论
AI 总结 四维情感分析(积极/负面/需求/竞品) 快速了解评论舆情全貌
置顶标记 置顶评论特殊标识 一眼识别重要评论
HTML 报告 深色主题交互式报告 离线保存/分享分析结果
合并报告 多页合并,超3页自动折叠 一次导出全部评论分析

🔑 鉴权

前往 红狐hub 获取 API Key,通过以下方式配置:

# 方式一:配置文件(如 OpenClaw 的 ~/.openclaw/openclaw.json)
{ "env": { "REDFOX_API_KEY": "ak_xxxx..." } }

# 方式二:终端环境变量
export REDFOX_API_KEY="ak_xxxx..."

🔄 工作流程

Step 1:理解用户意图,提取 opusId

⚠️ 核心规则:用户提供作品链接,Agent 从链接中提取 opusId。

  • 用户提供作品链接(如 https://www.kuaishou.com/short-video/3x4ibfzs5e68yxu),Agent 从链接中提取 opusId
  • 用户也可能直接提供 opusId(如 3x4ibfzs5e68yxu),此时直接使用
  • 若用户未提供作品链接,主动询问:「请提供快手作品链接」
  • 若用户在上一轮对话中查询过某作品的数据,且本轮输入模糊(如"下一页"、"评论分析"),沿用上一轮的 opusId

Step 2:调用评论获取脚本(自动生成 HTML)

⚠️ 每次调用仅请求一页数据(一次 API 请求),不可擅自发起多次调用拉取多页。

脚本每次调用自动生成 HTML 报告(含占位符,未回填分析数据)。终端展示与 HTML 基于同一次 API 调用,确保数据一致。

python3 ~/.agents/skills/kuaishou-comment/scripts/kuaishou_comment_search.py "<opusId>" [--cursor <cursor>] [--page <page>]

参数说明:

参数 说明 默认值
opusId 快手作品 opusId(必填)
--cursor 游标,首页传空字符串,次页传上一页返回的 nextCursor ""
--page 当前页码(仅用于 HTML 文件名和输出标记) 1
--output-dir HTML 输出目录 ~/Downloads/QoderReports

脚本返回 JSON 字段详见下方评论字段表。

注意: HTML 报告此时仅含评论原始数据,分析占位符待用户确认后回填。

Step 3:对话中展示评论数据 + AI 总结

⚠️ 每次操作仅调用一次 API,获取一页数据。

A1. 告知查询范围

📊 作品「{opusId}」共获取 N 条评论(第 {page} 页),以下是详细数据:

A2. 渲染评论表格(展示当前页全部评论)

格式规则:

  • 评论人列只显示昵称,不展示头像、不生成超链接
  • 评论内容超过 40 字截断加 ...
  • 时间格式化为 MM-DD HH:MM
  • 置顶评论在昵称后加 📌 标记(整行加粗)
  • like_count / reply_count 数字 ≥ 10000 使用 x.xw 格式
  • 每页全部展示,不得截断
A3. AI 评论总结(⚠️ 每次查询(含翻页)必须输出)

首页:基于当前页评论,四维情感分析。

翻页后:基于目前已获取的所有页面累计数据综合分析,标注累计总条数。

Read the full file on GitHub · 221 lines

Files

What ships with it

7 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.

Changes

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.

  1. 10d ago First seen · 221 lines · 92 tokens per session scan A 76692d4447d7

Subscribe to this mod's changes

kuaishou-comment is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 2,416 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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