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Content Analytics

Name: Content Analytics
Author: yang1002378395-cmyk

作者 yang1002378395-cmyk · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

1028

总下载

当前安装

版本数

在 OpenClaw 中安装

/install content-analytics

功能描述

分析掘金、小红书、知乎多平台内容表现数据，提供汇总对比和基于AI的优化建议。

使用说明 (SKILL.md)

Content Analytics Skill

分析多平台内容表现数据，生成优化建议。

功能

掘金文章数据分析（阅读、点赞、评论、收藏）
小红书数据分析（曝光、互动、转化）
知乎数据分析（浏览、赞同、评论）
跨平台数据汇总对比
AI 生成优化建议

使用方式

分析我的掘金文章表现

帮我对比最近一周的小红书和知乎数据

给我内容优化建议

配置

掘金（可选）

{
  "juejin": {
    "cookie": "your_juejin_cookie"
  }
}

小红书（可选）

{
  "xiaohongshu": {
    "cookie": "your_xhs_cookie"
  }
}

数据源

掘金创作者中心 API
小红书创作者中心
知乎创作中心

输出格式

📊 内容表现分析报告

## 掘金（最近7天）
- 文章数：5
- 总阅读：12,345
- 平均阅读：2,469
- 点赞率：3.2%
- 收藏率：1.8%

## 优化建议
1. 标题优化：加入数字和疑问词可提升点击率 15%
2. 发布时间：周二/周四 20:00-22:00 流量最高
3. 内容方向：AI 赚钱类文章互动率最高

## 下周策略
- 重点：AI 工具对比类文章
- 发布时间：周二 21:00，周四 21:00
- 预期阅读：15,000-20,000

技术栈

Node.js / Python
Playwright（网页抓取）
GLM-5（AI 分析）

创建时间：2026-03-11

安全使用建议

This skill could be useful, but it is underspecified and requests sensitive cookies without telling you how they will be used or stored. Before installing or providing credentials: 1) Ask the author to clarify whether official APIs or web scraping (Playwright) will be used for each platform and to provide a privacy/handling policy for cookies; 2) Prefer OAuth or API tokens scoped to read‑only creator data rather than raw session cookies; 3) Ask how GLM‑5 is hosted and whether any API keys or data leave your environment; 4) Avoid pasting account cookies into public or shared agents — treat them as high‑risk secrets; 5) If Playwright or a headless browser will be run, only allow it in a controlled environment since it can persist session files. If the author cannot clarify these points (especially where Zhihu creds belong and how secrets are stored/transmitted), consider the skill suspicious and avoid supplying credentials.

功能分析

Type: OpenClaw Skill Name: content-analytics Version: 1.0.0 The skill requests sensitive session cookies for platforms like Juejin and Xiaohongshu in SKILL.md to perform content analytics. While this is consistent with its stated purpose, the absence of the actual implementation code (Node.js/Python/Playwright) makes it impossible to verify if these credentials are handled securely or exfiltrated to a third party, posing a significant security risk.

能力评估

ℹ Purpose & Capability

The name/description (analyze Juejin, Xiaohongshu, Zhihu content) matches the SKILL.md functionality. Requesting cookies for Juejin and Xiaohongshu is consistent with scraping/creator‑center access. However, Zhihu is listed as a data source but no cookie/config example is provided. The tech stack calls out Playwright and GLM‑5 though no install or runtime requirements are declared, which is an omission.

ℹ Instruction Scope

SKILL.md tells the agent to analyze and compare platform data and shows optional JSON cookie configs for two platforms. It does not instruct reading unrelated system files or environment variables. But it is vague about the exact data‑fetch method (official APIs vs web scraping), error handling, and where analysis/modeling happens — leaving the agent broad discretion to use Playwright to scrape pages, which has higher privacy/risk implications.

⚠ Install Mechanism

There is no install spec (instruction‑only), which is low risk by itself, but the documented tech stack names Playwright (a browser automation tool) and GLM‑5 (an LLM). Mentioning Playwright implies downloading/ running headless browsers and possibly persisting session files/cookies; the skill provides no guidance or install steps for these components. This mismatch (expectation of heavy runtime dependencies without install instructions) is a practical and security concern.

⚠ Credentials

The skill does not declare any required environment variables, yet it expects sensitive credentials (platform cookies) passed in JSON config examples. Cookies are high‑value secrets that expose account access; the skill offers no guidance on storage, scoping, or using official OAuth tokens instead. Also, Zhihu is a declared data source but there is no example credential/config for it, which is inconsistent.

✓ Persistence & Privilege

The skill is not always‑on, does not request system config paths, and is instruction‑only. It does not declare persistence or system‑wide changes. There is no explicit request to modify other skills or store agent‑wide tokens.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install content-analytics
安装完成后，直接呼叫该 Skill 的名称或使用 /content-analytics 触发
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

Initial release

元数据

Slug content-analytics

版本 1.0.0

许可证 MIT-0

累计安装 3

当前安装数 3

历史版本数 1

常见问题