social-media-research-skills — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by ScrapeCreators · Claude Skill · ★ 2.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is social-media-research-skills safe to install? View the security audit →

About social-media-research-skills

Social Media Research Skills for AI Agents Practical AI agent skills for social media research, powered by ScrapeCreators. These skills help agents find outlier posts, mine comments, summarize transcripts, tear down competitors, analyze ad libraries, and turn public social data into useful business artifacts. This is not just endpoint routing. The goal is to give your AI agent complete research workflows it can run across TikTok, Instagram, YouTube, Reddit, X/Twitter, LinkedIn, Facebook, Threads, Bluesky, Pinterest, Rumble, ad libraries, and more. Install Works with Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Gemini CLI, Windsurf, VS Code, and other agents that support the Agent Skills spec. Setup Set your ScrapeCreators API key: Get a key at scrapecreators.com. Available Skills | [comme

agent-skillsai-agentsclaude-codeclaude-skillscompetitor-analysiscontent-marketingcursorinfluencer-marketingmarket-researchsocial-media

Quick Facts

Stars2,257
Forks26
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score70.4558215378731/100
Open Issues3
Last Updated2026-08-26
Created2026-06-06
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~4k

Compatible Skills

These tools work well together with social-media-research-skills for enhanced workflows:

  • Agentfy — semantic(0.50)+complementary+same_lang+similar_pop+shared_platform (68%)
  • Supervisor-Skills — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • web-asset-generator — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • paper-craft-skills — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is social-media-research-skills?

social-media-research-skills is AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn & more. Powered by ScrapeCr. It is categorized as a Claude Skill with 2.3k GitHub stars.

What programming language is social-media-research-skills written in?

social-media-research-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code.

How do I install or use social-media-research-skills?

You can find installation instructions and usage details in the social-media-research-skills GitHub repository at github.com/ScrapeCreators/social-media-research-skills. The project has 2.3k stars and 26 forks, indicating an active community.

What license does social-media-research-skills use?

social-media-research-skills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to social-media-research-skills?

The top alternatives to social-media-research-skills on Agent Skills Hub include affiliate-skills, wechat-article-skills, ai-business-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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