← 返回 Skills 市场
tujinsama

爆款选题发现虾

作者 Ricky · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
145
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install viral-topic-finder-claw
功能描述
爆款选题发现虾 — 全网热点实时监控与爆款选题挖掘专家。从微博、抖音、知乎、百度、B站等平台抓取热榜数据,智能过滤匹配账号定位,分析爆款内容规律,生成可执行的选题建议,并存入飞书多维表格选题库。 **当以下情况时使用此 Skill**: (1) 用户要求监控热点、找热搜、发现爆款选题 (2) 需要分析同领域高赞内...
安全使用建议
This skill appears to do what it says: it fetches public hotlist APIs, filters and analyzes results, and can optionally save items to Feishu. Before installing/using it: (1) Do NOT paste long-lived account cookies or tokens into the script file in plaintext; instead store them in a secure secret store or agent connector if possible. (2) If you enable the Feishu storage path, verify what Feishu credentials/permissions the agent connector will use — avoid embedding Feishu tokens in code. (3) Be aware scraping platform endpoints may trigger rate limits or violate a platform's terms of service; use conservative polling and respect robots/rate limits. (4) The script prints results to stdout and does not exfiltrate data to unknown third-party servers, but review any environment where you run it (shared CI/runners) so cookies or result JSON are not exposed. If you want stronger assurance, ask the maintainer (or review updates) to: move cookie/config handling to environment variables or a secure secrets API, and implement explicit Feishu connector usage rather than referencing non-declared functions.
功能分析
Type: OpenClaw Skill Name: viral-topic-finder-claw Version: 1.0.0 The skill is a legitimate tool for monitoring social media trends and generating content ideas. The core logic in `scripts/fetch-hotlist.py` uses standard Python libraries to fetch data from public APIs (Weibo, Zhihu, Baidu, etc.), and the instructions in `SKILL.md` clearly define a workflow for filtering and saving this data to Feishu. While the script allows users to manually input cookies for certain platforms, there is no evidence of data exfiltration, malicious execution, or prompt injection intended to compromise the agent or user data.
能力评估
Purpose & Capability
Name/description (抓取各平台热榜并生成选题、可选存入飞书) aligns with the included script and reference docs. The Python script fetches hotlists from the stated platforms and the SKILL.md explains filtering, analysis and optional storage. No unrelated cloud APIs, elevated system access, or surprising binaries are requested.
Instruction Scope
Instructions are focused on running the provided fetch-hotlist.py, reading the local reference files for analysis rules, filtering and generating cards, and optionally writing to a Feishu multi-dimensional table. The doc also instructs using an agent tool 'web_search' for competitor lookups — this is plausible but grants the agent additional network/search capability; the SKILL.md does not overbroadly instruct reading arbitrary user files or secrets.
Install Mechanism
No install spec; this is an instruction-only skill plus a small included Python script. No downloads or archive extraction are performed during install. The script uses only standard Python libraries (urllib, concurrent) so there is no unexpected third-party package installation.
Credentials
The skill declares no required env vars, which matches the repo. However: (1) the script expects platform cookies (Douyin/Xiaohongshu) to be pasted into the COOKIES dict in the script — that is storing credentials in plaintext in a file and is a privacy/security risk; (2) SKILL.md references writing records via feishu_bitable_app / feishu_bitable_app_table_record but does not declare or explain required Feishu credentials or connector setup. Users should ensure Feishu credentials are provided via the agent's secure connector (not hard-coded) if they want storage.
Persistence & Privilege
always is false and the skill has no install-time persistence or modifications to other skills or system-wide configs. The skill runs its script on demand and prints JSON; optional Feishu writes would use the platform's connector (not implemented in code here). No elevated privileges are requested.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install viral-topic-finder-claw
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /viral-topic-finder-claw 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
初始发布:多平台热榜抓取、爆款内容分析、飞书选题库管理
元数据
Slug viral-topic-finder-claw
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

爆款选题发现虾 是什么?

爆款选题发现虾 — 全网热点实时监控与爆款选题挖掘专家。从微博、抖音、知乎、百度、B站等平台抓取热榜数据,智能过滤匹配账号定位,分析爆款内容规律,生成可执行的选题建议,并存入飞书多维表格选题库。 **当以下情况时使用此 Skill**: (1) 用户要求监控热点、找热搜、发现爆款选题 (2) 需要分析同领域高赞内... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 145 次。

如何安装 爆款选题发现虾?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install viral-topic-finder-claw」即可一键安装,无需额外配置。

爆款选题发现虾 是免费的吗?

是的,爆款选题发现虾 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

爆款选题发现虾 支持哪些平台?

爆款选题发现虾 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 爆款选题发现虾?

由 Ricky(@tujinsama)开发并维护,当前版本 v1.0.0。

💬 留言讨论