Social Media Research Skills

by ScrapeCreators• 5.2k•• Scanned•Claim this listing•Request removal
Social Mediaagent skillsai agentsclaude codeclaude skillscompetitor analysis

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 ScrapeCreators. Works with Claude Code, Cursor, Codex, Gemini CLI.

Social Media Research Skills is an open-source agent skill by ScrapeCreators, written mainly in Python, with 5,217 GitHub stars and the MIT license. Its code was last updated Aug 26, 2026.

Scan summary: scanned Nov 5, 2026 at commit 64ba7b4. No capabilities flagged by our checks. Scan policy

What Social Media Research Skills can touch

  • Run shell commandsNot seen in this scan
  • Run dynamic codeNot seen in this scan
  • Read or write filesNot seen in this scan
  • Read environment and secretsNot seen in this scan
  • Control a web browserNot seen in this scan
  • Connect to databasesNot seen in this scan
  • Read or send messagesNot seen in this scan
  • Touch money or tradingNot seen in this scan
  • Connect to the internetNot run in this scan

"Not seen" means our checks did not find it, and the tool may still do it. Covers commit 64ba7b4, Nov 5, 2026. See the scan policy.

Before you install Social Media Research Skills

AgenticMart scanned Social Media Research Skills on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.

What it can access

  • A skill is instructions plus optional scripts. The instructions steer your agent; any scripts run on your machine when the agent uses the skill.
  • Based on its description and topics, it likely needs to control a web browser (visit sites, fill in and submit forms).

Before you install

  1. Run it in a separate browser profile without your logged-in accounts.
  2. Pin the version you reviewed instead of always installing the latest release.
  3. Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
  • Maintained by ScrapeCreators on GitHub, 5,217 stars and 105 forks. Popularity is not proof of safety.
  • Last code change: Aug 26, 2026.
  • Open-source license: MIT.

Social Media Research Skills is an open-source agent skill by ScrapeCreators, written mainly in Python. 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 ScrapeCreators. Works with Claude Code, Cursor, Codex, Gemini CLI.

At a glance

Stars
5.2k
Forks
105
Language
Python
License
MIT
Created
Jun 2026
Last update
Aug 26, 2026
Type
Agent Skill
Price
Free

Topics

agent-skillsai-agentsclaude-codeclaude-skillscompetitor-analysiscontent-marketingcursorinfluencer-marketingmarket-researchsocial-mediasocial-media-researchworkflow-automation

Questions about Social Media Research Skills

What is Social Media Research Skills?

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 ScrapeCreators. Works with Claude Code, Cursor, Codex, Gemini CLI.

Who maintains Social Media Research Skills?

Social Media Research Skills is maintained by ScrapeCreators on GitHub (ScrapeCreators/social-media-research-skills). AgenticMart lists it from public repository data.

Is Social Media Research Skills safe to use?

AgenticMart scanned Social Media Research Skills on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.

What license does Social Media Research Skills use?

It is published under the MIT license.

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