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nicemaths123

Social Media Extract

作者 nicemaths123 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
96
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install social-media-extract
功能描述
Extract and analyze public social media data from Instagram, TikTok, Reddit, YouTube, and Twitter to identify trends, top creators, and engagement insights.
安全使用建议
Before you install or use this skill: 1) Treat your APIFY_TOKEN like a secret — it authorizes runs and may incur charges; do not paste it into chat. Ask the author to update the registry metadata to list APIFY_TOKEN (and any other needed creds) explicitly. 2) Review which Apify actors will run and, if possible, inspect their code/behavior on Apify to understand what data they collect and where results are stored or forwarded. 3) Clarify the 'Claude AI' mention: does the skill require a Claude API key or external LLM access? If so, that should be declared. 4) Consider legal/ToS implications of scraping each platform and whether you need elevated access or rate-limited approaches. 5) If you plan to run this in production, create a dedicated Apify account with limited billing/payment exposure and rotate tokens; monitor usage and billing. Given the metadata/instruction mismatch, ask the publisher for corrected manifest information before trusting secrets or granting long-term access.
功能分析
Type: OpenClaw Skill Name: social-media-extract Version: 1.0.0 The skill bundle provides a legitimate framework for social media data extraction and analysis using the Apify platform and Claude AI. The SKILL.md file contains functional Node.js code snippets for scraping multiple platforms (Instagram, TikTok, Reddit, etc.), normalizing data, and generating AI reports. While the documentation extensively uses affiliate links for Apify (e.g., ?fpr=dx06p), there is no evidence of malicious intent, credential theft, or unauthorized data exfiltration. The code correctly utilizes environment variables for API keys and performs actions consistent with its stated purpose.
能力评估
Purpose & Capability
The SKILL.md describes exactly the capability (scraping + analysis across Instagram, TikTok, Reddit, YouTube, Twitter) and provides concrete Apify actor calls to achieve it, so the capability matches the description. However, the skill metadata claims no required environment variables or credentials, while the instructions explicitly require an APIFY_TOKEN. That mismatch is an incoherence between what the skill says it needs and what it actually needs at runtime.
Instruction Scope
The instructions stay within the stated task: they explain signing up for Apify, exporting APIFY_TOKEN, installing apify-client and axios, and calling Apify actors to fetch platform data and normalize it. The doc does not direct the agent to read unrelated host files or system credentials. It does reference integrations (Notion, Airtable, Google Sheets, Claude AI) but does not embed instructions to exfiltrate unrelated system data.
Install Mechanism
This is an instruction-only skill (no install spec). The SKILL.md suggests running 'npm install apify-client axios' which is a standard, low-risk developer step. No downloads from arbitrary URLs or archive extraction are specified.
Credentials
The runtime instructions require an APIFY_TOKEN (personal API token) and imply use of Apify account resources and billing, but the registry metadata lists no required env vars or primary credential. The skill also mentions 'Claude AI' without describing any credential requirements. The omission of APIFY_TOKEN from the declared required env vars is a proportionality and disclosure problem: the skill requires privileged credentials (control of your Apify actor runs and possible billing) but does not declare them.
Persistence & Privilege
The skill does not request always:true and is not force-included. There is no install spec that writes persistent binaries or modifies other skills' configs. Autonomous invocation is allowed (platform default) but is not combined with any other high-privilege flags.
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 social-media-extract
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /social-media-extract 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
Major update: Social Media Data Extractor 2.0.0 introduces unified, multi-platform extraction, analysis, and actionable reporting for five major social networks. - Now extracts and normalizes public data from Instagram, TikTok, YouTube, Reddit, and Twitter/X in parallel. - Adds advanced analytics: engagement rates, trending topic detection, creator identification, virality scoring, and competitor benchmarking. - Outputs unified, structured JSON ready for dashboards and workflow tools. - Generates concise AI-written trend reports to guide next steps. - Easy setup via Apify integration and simple npm install for dependencies. - Extensive documentation and real-world code examples included.
元数据
Slug social-media-extract
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

Social Media Extract 是什么?

Extract and analyze public social media data from Instagram, TikTok, Reddit, YouTube, and Twitter to identify trends, top creators, and engagement insights. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。

如何安装 Social Media Extract?

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

Social Media Extract 是免费的吗?

是的,Social Media Extract 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Social Media Extract 支持哪些平台?

Social Media Extract 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 Social Media Extract?

由 nicemaths123(@nicemaths123)开发并维护,当前版本 v1.0.0。

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